Fall 2015 Solutions. Biostats691F: Practical Data Management and Statistical Computing
|
|
- Noah Brooks
- 5 years ago
- Views:
Transcription
1 Fall 2015 Solutions Biostats691F: Practical Data Management and Statistical Computing Assignment 8: Creating a Preliminary Data Report - The Fetal Lung Maturity Study Data for the study were available in.csv format in the file flmraw.csv. The file contained missing values (unusual characters) for birthweight, which was dropped from the file. Data included 141 records. A check for duplicate records showed one repeat ID with 2 different FLM values. Since it couldn t be determined which record is correct, or if one is an ID error, both were dropped from the analysis file. (Note other options: Could keep 1 of these records and set flm value to missing (.), while keeping hi flm50/flm70. Could keep both re-assigning ID numbers. Make it clear what was done!!) PROGRAM: hw10_2013p1.sas Duplicate records? patid flm resp blood gestage term flm50 flm OK none. unknown hi hi OK none. unknown hi hi The analysis file included 139 observations with 9 variables: Data Set Name HW10.FLM1 Observations 139 Member Type DATA Variables 9 Engine V9 Indexes 0 Created Tuesday, December 03, :20:10 PM Observation Length 72 Filename e:\sasexamples\flm1.sas7bdat Variables in Creation Order # Variable Type Len Format Label 1 flm Num 8 FLM:*Assay*Value 2 resp Num 8 RESPFMT. RESP:*illness 3 blood Num 8 BLDFMT. BLOOD:*in*sample 4 gestage Num 8 GESTAGE:*at*delivery 5 patid Num 8 PATID:*ID # 6 term Num 8 TERMFMT. TERM:*at*delivery 7 flm50 Num 8 LHFMT. FLM50:*assay*<50 8 flm70 Num 8 LHFMT. FLM70:*assay*<70 9 resp2 Num 8 YNFMT. RESP2:*ill at *birth A review of variable values indicates 20 (14%) cases with respiratory illness (18 RDS, 2 TTN). RESP:*illness resp Frequency Percent OK RDS TTN RESP2:*ill at *birth resp2 Frequency Percent No Yes solutions8_2015.docx /03/2013
2 No cases were postdates, 25 (18%) were fullterm, and 98 (71%) were preterm, and 16 (12%) were of unknown gestational age. TERM:*at*delivery Cumulative Cumulative term Frequency Percent Frequency Percent ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ unknown preterm fullterm Blood was found in 33 (24%) of the samples. BLOOD:*in*sample blood Frequency Percent ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ none blood A review of the distribution of FLM values indicates they ranged from 9 to 217, with a median (Q1-Q3) of 86 (52-117). Two extreme values were noted (214 for patid=138, 217 for patid=139) but these are retained in the data as legitimate, unless later learn that they are out of range. Using 50 as a cutoff value, 33 (24%) would be considered at risk for immature lungs; using 70 as the cutoff, 53 (38%) would be considered at risk. FLM values Quantile Estimate 100% Max % % % % Q % Median 86 25% Q % 25 5% 12 1% 10 0% Min 9 Extreme Observations Lowest Highest Value patid gestage Value patid gestage FLM50:*assay*<50 flm50 Frequency Percent ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ hi lo FLM70:*assay*<70 flm70 Frequency Percent ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ hi lo solutions8_2015.docx /03/2013
3 solutions8_2015.docx /03/2013
4 Review of the association of FLM with the outcome of respiratory illness, indicates that 3 cases (15% of cases) would be missed for at risk status based upon a cutoff value of 50. Using 70 as the cutpoint, 1 case (5% of cases) would be missed. flm50(flm50:*assay*<50) resp2(resp2:*ill at *birth) Frequency Row Pct Col Pct No Yes Total hi lo Total flm70(flm70:*assay*<70) resp2(resp2:*ill at *birth) Frequency Row Pct Col Pct No Yes Total hi lo Total solutions8_2015.docx /03/2013
5 (Beyond scope of material covered before assignment). The following figures are examples of use of PROC PLOT and PROC SGPLOT to examine association of gestational age and FLM while showing a third factor (blood in sample and outcome(rds/ttn)). These indicate that the one case with respiratory distress (Y) that is missed by both cutpoints also had blood in the sample (b). (Beyond scope of assignment, but FYI) PROC PLOT: Plot of gestage*flm=resp2. G E 50 ˆ S T A G E N N : 40 ˆ N N * N Y N NN N N N a ƒƒƒnƒƒnnnnnnnnnnnnnnƒƒƒƒƒƒnƒƒƒƒƒ t NYNN NNNNNNN NNNN * YNNN Y NNNN N NN d NNYNN N N e 30 ˆ YYN N l Y Y N i Y v Y e Y r y 20 ˆ Šˆƒƒƒƒƒˆƒƒƒƒƒˆƒƒƒƒƒˆƒƒƒƒƒˆƒƒƒƒƒˆƒ FLM:*Assay*Value NOTE: 16 missing. 51 hidden. Plot of gestage*flm=blood. G E 50 ˆ S T A G E n n : 40 ˆ n n * n n b nn n n n a ƒƒƒbƒƒnnbnnnnbnnnnnnƒƒƒƒƒƒnƒƒƒƒƒ t nnbb nnnnnbn nnnn * nbnn n nnnn n nn d bbnnn n b e 30 ˆ nnb b l n n n i b v n e b r y 20 ˆ Šˆƒƒƒƒƒˆƒƒƒƒƒˆƒƒƒƒƒˆƒƒƒƒƒˆƒƒƒƒƒˆƒ FLM:*Assay*Value NOTE: 16 missing. 51 hidden. solutions8_2015.docx /03/2013
6 PROC SGPLOT: solutions8_2015.docx /03/2013
7 Programs: OPTIONS PAGESIZE=60 LINESIZE=115 NOCENTER NONUMBER NODATE ERRORS=3; ***********************************************************; *** PROJECT: BE691f Assignment 10 ***; *** DATE: DEC 2013 ***; *** FILE: hw10_2013p1.sas ***; *** PROGRAMMER: penny pekow ***; *** RE: reading data into SAS ***; *** create formats ***; *** create term variable ***; *** create FLM 50,70 indicators ***; *** check for duplicate records ***; *** check for outliers, odd values ***; *** label, format, store data ***; *** ************************************************ *** INPUT FILES: flmraw.txt data translated ***; *** from Mac system ***; *** OUTPUT FILES: flm1.sas7bdat ***; *** on PEKOW3 \SASexamples ***; ***********************************************************; TITLE1 'PROGRAM: hw10_2013p1.sas '; libname hw10 'e:\sasexamples'; ** edit to correct directory **; ** create and save formats **; proc format cntlout=hw10.flmfmt1; value respfmt 0='OK' 1='RDS' 2='TTN'; value bldfmt value lhfmt value ynfmt 0='none' 1='blood'; 0='hi' 1='lo'; 0='No' 1='Yes'; value termfmt. = 'unknown' 1 = 'preterm' 2 = 'fullterm' 3 = 'postdate'; ** read data into temp SAS file **; data flm1(drop=bw); ** reminder: edit filename to correct directory **; infile 'e:\sasexamples\flmraw.csv' missover delimiter=',' ; input flm resp blood gestage bw patid; ** create term variable **; if gestage <= 0 then term =.; else if 0 < gestage < 37 then term = 1; else if 37<=gestage <=42 then term = 2; else if 42< gestage < 48 then term = 3; solutions8_2015.docx /03/2013
8 ** create indicators of LOW test: flm <50, <70 **; flm50 = (0 < flm < 50); flm70 = (0 < flm < 70); label flm = 'FLM:*Assay*Value' resp = 'RESP:*illness' blood = 'BLOOD:*in*sample' gestage = 'GESTAGE:*at*delivery' patid = 'PATID:*ID #' term = 'TERM:*at*delivery' flm50 = 'FLM50:*assay*<50' flm70 = 'FLM70:*assay*<70'; format resp respfmt. blood bldfmt. term termfmt. flm50 flm70 lhfmt.; ** check for duplicate records **; proc sort data=flm1; by patid; data dups; set flm1; by patid; if first.patid = 0 or last.patid=0; /* keeps cases with repeat ids */ proc print data=dups; id patid; title2 'Duplicate records?'; ** save data after deleting dups **; data hw10.flm1; set flm1; ** delete duplicates (both) since can't tell **; ** if it is two people or one, and if just one **; ** don't know which is valid **; if patid=71 then delete; ** create 0/1 indicator of resp illness **; ** 1 = rds or ttn **; resp2 = (resp > 0); label resp2 = 'RESP2:*ill at *birth'; format resp2 ynfmt.; proc contents position data=hw10.flm1; title2 'FLM DATA Contents'; ** simple freq and descriptive stats to look at values **; proc freq data=hw10.flm1; tables resp resp2 blood flm50 flm70 /nocum; tables term; tables term / missing ; title2; proc univariate plot data=hw10.flm1; id patid gestage; var flm gestage; solutions8_2015.docx /03/2013
9 OPTIONS PAGESIZE=60 LINESIZE=80 NOCENTER NONUMBER NODATE errors=3; ***********************************************************; *** PROJECT: PH691f Assignment 10 ***; *** DATE: DEC 2013 ***; *** FILE: hw10_2013p2.sas ***; *** PROGRAMMER: penny pekow ***; *** RE: crosstabs and plots ***; *** ************************************************ *** INPUT FILES: flm1.sas7bdat on PEKOW3 \SASexamples ***; ***********************************************************; TITLE1 'PROGRAM: hw10_2013p2.sas '; libname hw10 'e:\sasexamples'; ** read in formats **; proc format cntlin=hw10.flmfmt1; ** cross-tabulation of flm indicators and resp outcome **; proc freq data=hw10.flm1; tables (flm50 flm70)* resp2 / nopercent; proc plot data=hw10.flm1 vpercent=50 hpercent=50; plot flm * gestage = resp2 / href=37 haxis = 22 to 42 by 5 vref=50 70 vaxis= 0 to 250 by 50 ; plot flm * gestage = blood / href=37 haxis = 22 to 42 by 5 vref=50 70 vaxis= 0 to 250 by 50; ods graphics on / imagename='flm1group'; proc sgplot data=hw10.flm1; ** define variable labels to use as axis labels **; label gestage='gestational Age (weeks)' flm='lung Maturity Assay'; ** define x,y and variable to label data points **; scatter y=flm x=gestage / group=resp2; ods graphics off; ods graphics on / imagename='flm1blood'; proc sgplot data=hw10.flm1; ** define variable labels to use as axis labels **; label gestage='gestational Age (weeks)' flm='lung Maturity Assay'; ** define x,y and variable to label data points **; scatter y=flm x=gestage / group=blood; ods graphics off; solutions8_2015.docx /03/2013
The SAS System 09:38 Wednesday, December 2, The CANDISC Procedure
The SAS System 09:38 Wednesday, December 2, 2009 63 Observations 67 DF Total 66 Variables 43 DF Within Classes 65 Classes 2 DF Between Classes 1 Class Level Information Variable SPECIES Name Frequency
More information5 Populations Estimating Animal Populations by Using the Mark-Recapture Method
Name: Period: 5 Populations Estimating Animal Populations by Using the Mark-Recapture Method Background Information: Lincoln-Peterson Sampling Techniques In the field, it is difficult to estimate the population
More informationwine 1 wine 2 wine 3 person person person person person
1. A trendy wine bar set up an experiment to evaluate the quality of 3 different wines. Five fine connoisseurs of wine were asked to taste each of the wine and give it a rating between 0 and 10. The order
More informationUpdate to A Comprehensive Look at the Empirical Performance of Equity Premium Prediction
Update to A Comprehensive Look at the Empirical Performance of Equity Premium Prediction Amit Goyal UNIL Ivo Welch UCLA September 17, 2014 Abstract This file contains updates, one correction, and links
More informationPredicting Wine Quality
March 8, 2016 Ilker Karakasoglu Predicting Wine Quality Problem description: You have been retained as a statistical consultant for a wine co-operative, and have been asked to analyze these data. Each
More informationOrganic Chemistry 211 Laboratory Gas Chromatography
MATERIALS Organic Chemistry 211 Laboratory Gas Chromatography Computer vials of: Logger Pro ethyl acetate Vernier Mini GC butyl acetate Temperature Probe collected fractions from Exp. 5 1 L glass syringe
More informationSTA Module 6 The Normal Distribution
STA 2023 Module 6 The Normal Distribution Learning Objectives 1. Explain what it means for a variable to be normally distributed or approximately normally distributed. 2. Explain the meaning of the parameters
More informationSTA Module 6 The Normal Distribution. Learning Objectives. Examples of Normal Curves
STA 2023 Module 6 The Normal Distribution Learning Objectives 1. Explain what it means for a variable to be normally distributed or approximately normally distributed. 2. Explain the meaning of the parameters
More informationNotes on the Philadelphia Fed s Real-Time Data Set for Macroeconomists (RTDSM) Capacity Utilization. Last Updated: December 21, 2016
1 Notes on the Philadelphia Fed s Real-Time Data Set for Macroeconomists (RTDSM) Capacity Utilization Last Updated: December 21, 2016 I. General Comments This file provides documentation for the Philadelphia
More informationNapa Highway 29 Open Wineries
4 5 6 7 8 9 35 4 45 5 55 Sonoma State University Business 58-Business Intelligence Problem Set #6 Key Dr. Cuellar Trend Analysis-Analyzing Tasting Room Strategies 1. Graphical Analysis a. Show graphically
More informationWine Rating Prediction
CS 229 FALL 2017 1 Wine Rating Prediction Ke Xu (kexu@), Xixi Wang(xixiwang@) Abstract In this project, we want to predict rating points of wines based on the historical reviews from experts. The wine
More informationActivity 10. Coffee Break. Introduction. Equipment Required. Collecting the Data
. Activity 10 Coffee Break Economists often use math to analyze growth trends for a company. Based on past performance, a mathematical equation or formula can sometimes be developed to help make predictions
More informationTo: Professor Roger Bohn & Hyeonsu Kang Subject: Big Data, Assignment April 13th. From: xxxx (anonymized) Date: 4/11/2016
To: Professor Roger Bohn & Hyeonsu Kang Subject: Big Data, Assignment April 13th. From: xxxx (anonymized) Date: 4/11/2016 Data Preparation: 1. Separate trany variable into Manual which takes value of 1
More informationIT 403 Project Beer Advocate Analysis
1. Exploratory Data Analysis (EDA) IT 403 Project Beer Advocate Analysis Beer Advocate is a membership-based reviews website where members rank different beers based on a wide number of categories. The
More informationUS FOODS E-COMMERCE AND TECHNOLOGY OFFERINGS
US FOODS MOBILE EASY ONLINE ORDER US FOODS E-COMMERCE AND TECHNOLOGY OFFERINGS PERSONALIZED CONTENT WE HELP MAKE IT EASY TO ORDER ONLINE One platform. Integrated solutions. Complete control. US Foods e-commerce
More informationPSYC 6140 November 16, 2005 ANOVA output in R
PSYC 6140 November 16, 2005 ANOVA output in R Type I, Type II and Type III Sums of Squares are displayed in ANOVA tables in a mumber of packages. The car library in R makes these available in R. This handout
More informationBusiness Statistics /82 Spring 2011 Booth School of Business The University of Chicago Final Exam
Business Statistics 41000-81/82 Spring 2011 Booth School of Business The University of Chicago Final Exam Name You may use a calculator and two cheat sheets. You have 3 hours. I pledge my honor that I
More informationOnline Appendix to Voluntary Disclosure and Information Asymmetry: Evidence from the 2005 Securities Offering Reform
Online Appendix to Voluntary Disclosure and Information Asymmetry: Evidence from the 2005 Securities Offering Reform This document contains several additional results that are untabulated but referenced
More informationSimulation of the Frequency Domain Reflectometer in ADS
Simulation of the Frequency Domain Reflectometer in ADS Introduction The Frequency Domain Reflectometer (FDR) is used to determine the length of a wire. By analyzing data collected from this simple circuit
More informationAppendix Table A1 Number of years since deregulation
Appendix Table A1 Number of years since deregulation This table presents the results of -in-s models incorporating the number of years since deregulation and using data for s with trade flows are above
More informationFlexible Imputation of Missing Data
Chapman & Hall/CRC Interdisciplinary Statistics Series Flexible Imputation of Missing Data Stef van Buuren TNO Leiden, The Netherlands University of Utrecht The Netherlands crc pness Taylor &l Francis
More informationTRTP and TRTA in BDS Application per CDISC ADaM Standards Maggie Ci Jiang, Teva Pharmaceuticals, West Chester, PA
PharmaSUG 2016 - Paper DS14 TRTP and TRTA in BDS Application per CDISC ADaM Standards Maggie Ci Jiang, Teva Pharmaceuticals, West Chester, PA ABSTRACT CDSIC ADaM Implementation Guide v1.1 (IG) [1]. has
More informationEffect of Inocucor on strawberry plants growth and production
Effect of Inocucor on strawberry plants growth and production Final report For Inocucor Technologies Inc. 20 Grove, Knowlton, Quebec, J0E 1V0 Jae Min Park, Dr. Soledad Saldías, Kristen Delaney and Dr.
More informationPanel A: Treated firm matched to one control firm. t + 1 t + 2 t + 3 Total CFO Compensation 5.03% 0.84% 10.27% [0.384] [0.892] [0.
Online Appendix 1 Table O1: Determinants of CMO Compensation: Selection based on both number of other firms in industry that have CMOs and number of other firms in industry with MBA educated executives
More informationImproving Capacity for Crime Repor3ng: Data Quality and Imputa3on Methods Using State Incident- Based Repor3ng System Data
Improving Capacity for Crime Repor3ng: Data Quality and Imputa3on Methods Using State Incident- Based Repor3ng System Data July 31, 2014 Justice Research and Statistics Association 720 7th Street, NW,
More informationF&N 453 Project Written Report. TITLE: Effect of wheat germ substituted for 10%, 20%, and 30% of all purpose flour by
F&N 453 Project Written Report Katharine Howe TITLE: Effect of wheat substituted for 10%, 20%, and 30% of all purpose flour by volume in a basic yellow cake. ABSTRACT Wheat is a component of wheat whole
More informationPROC PRINT DATA=simp NOOBS SPLIT="*"; WHERE &outpx GE 1; TITLE2 "Table P1a. Population Simulation Parameters";
Simulation Program for Balanced Two Stage Cluster Sampling: Predictors of Realized Random Cluster Means Ed Stanek OPTIONS LINESIZE=140 PAGESIZE=53 NOCENTER NODATE NONUMBER NOFMTERR; ******* * PROJECT NAME:
More informationYelp Chanllenge. Tianshu Fan Xinhang Shao University of Washington. June 7, 2013
Yelp Chanllenge Tianshu Fan Xinhang Shao University of Washington June 7, 2013 1 Introduction In this project, we took the Yelp challenge and generated some interesting results about restaurants. Yelp
More informationMissing value imputation in SAS: an intro to Proc MI and MIANALYZE
Victoria SAS Users Group November 26, 2013 Missing value imputation in SAS: an intro to Proc MI and MIANALYZE Sylvain Tremblay SAS Canada Education Copyright 2010 SAS Institute Inc. All rights reserved.
More informationWine-Tasting by Numbers: Using Binary Logistic Regression to Reveal the Preferences of Experts
Wine-Tasting by Numbers: Using Binary Logistic Regression to Reveal the Preferences of Experts When you need to understand situations that seem to defy data analysis, you may be able to use techniques
More informationINTERNATIONAL UNDERGRADUATE PROGRAM BINA NUSANTARA UNIVERSITY. Major Marketing Sarjana Ekonomi Thesis Odd semester year 2007
INTERNATIONAL UNDERGRADUATE PROGRAM BINA NUSANTARA UNIVERSITY Major Marketing Sarjana Ekonomi Thesis Odd semester year 2007 THE RELATIVE IMPORTANCE OF FOOD, SERVER ATTENTIVENESS, AND WAIT TIME: THE CASE
More informationThe R survey package used in these examples is version 3.22 and was run under R v2.7 on a PC.
CHAPTER 7 ANALYSIS EXAMPLES REPLICATION-R SURVEY PACKAGE 3.22 GENERAL NOTES ABOUT ANALYSIS EXAMPLES REPLICATION These examples are intended to provide guidance on how to use the commands/procedures for
More informationThe R&D-patent relationship: An industry perspective
Université Libre de Bruxelles (ULB) Solvay Brussels School of Economics and Management (SBS-EM) European Center for Advanced Research in Economics and Statistics (ECARES) The R&D-patent relationship: An
More informationFrom VOC to IPA: This Beer s For You!
From VOC to IPA: This Beer s For You! Joel Smith Statistician Minitab Inc. jsmith@minitab.com 2013 Minitab, Inc. Image courtesy of amazon.com The Data Online beer reviews Evaluated overall and: Appearance
More informationWhich of the following are resistant statistical measures? 1. Mean 2. Median 3. Mode 4. Range 5. Standard Deviation
Which of the following are resistant statistical measures? 1. Mean 2. Median 3. Mode 4. Range 5. Standard Deviation For the variable number of parking tickets in the past year would you expect the distribution
More informationCOMPARISON OF CORE AND PEEL SAMPLING METHODS FOR DRY MATTER MEASUREMENT IN HASS AVOCADO FRUIT
New Zealand Avocado Growers' Association Annual Research Report 2004. 4:36 46. COMPARISON OF CORE AND PEEL SAMPLING METHODS FOR DRY MATTER MEASUREMENT IN HASS AVOCADO FRUIT J. MANDEMAKER H. A. PAK T. A.
More informationGail E. Potter, Timo Smieszek, and Kerstin Sailer. April 24, 2015
Supplementary Material to Modelling workplace contact networks: the effects of organizational structure, architecture, and reporting errors on epidemic predictions, published in Network Science Gail E.
More information1.3 Box & Whisker Plots
1.3 Box & Whisker Plots Box and Whisker Plots or box plots, are useful for showing the distribution of values in a data set. The box plot below is an example. A box plot is constructed from the five-number
More informationPARENTAL SCHOOL CHOICE AND ECONOMIC GROWTH IN NORTH CAROLINA
PARENTAL SCHOOL CHOICE AND ECONOMIC GROWTH IN NORTH CAROLINA DR. NATHAN GRAY ASSISTANT PROFESSOR BUSINESS AND PUBLIC POLICY YOUNG HARRIS COLLEGE YOUNG HARRIS, GEORGIA Common claims. What is missing? What
More informationPRODUCTION SOFTWARE FOR WINEMAKERS. Wine Operations and Laboratory Analyses
PRODUCTION SOFTWARE FOR WINEMAKERS Wine Operations and Laboratory Analyses WHO SHOULD USE SMALL TO MEDIUM SIZE WINERIES NEEDING ROBUST DATA COLLECTION AND MANAGEMENT Alpha Winery Software is: a full-featured
More informationFood Allergies on the Rise in American Children
Transcript Details This is a transcript of an educational program accessible on the ReachMD network. Details about the program and additional media formats for the program are accessible by visiting: https://reachmd.com/programs/hot-topics-in-allergy/food-allergies-on-the-rise-in-americanchildren/3832/
More informationMethod for the imputation of the earnings variable in the Belgian LFS
Method for the imputation of the earnings variable in the Belgian LFS Workshop on LFS methodology, Madrid 2012, May 10-11 Astrid Depickere, Anja Termote, Pieter Vermeulen Outline 1. Introduction 2. Imputation
More informationInvestigation 1: Ratios and Proportions and Investigation 2: Comparing and Scaling Rates
Comparing and Scaling: Ratios, Rates, Percents & Proportions Name: KEY Per: Investigation 1: Ratios and Proportions and Investigation 2: Comparing and Scaling Rates Standards: 7.RP.1: Compute unit rates
More informationInvestigation 1: Ratios and Proportions and Investigation 2: Comparing and Scaling Rates
Comparing and Scaling: Ratios, Rates, Percents & Proportions Name: Per: Investigation 1: Ratios and Proportions and Investigation 2: Comparing and Scaling Rates Standards: 7.RP.1: Compute unit rates associated
More informationBORDEAUX WINE VINTAGE QUALITY AND THE WEATHER ECONOMETRIC ANALYSIS
BORDEAUX WINE VINTAGE QUALITY AND THE WEATHER ECONOMETRIC ANALYSIS WINE PRICES OVER VINTAGES DATA The data sheet contains market prices for a collection of 13 high quality Bordeaux wines (not including
More information1. Expressed in billions of real dollars, seasonally adjusted, annual rate.
ROUTPUT -- Real GNP/GDP 1. Expressed in billions of real dollars, seasonally adjusted, annual rate. 2. First Monthly Vintage: 1965:M11 First Quarterly Vintage: 1965:Q4 3. First Observation: 1947:Q1 4.
More informationSize Matters: Smaller Batches Yield More Efficient Risk-Limiting Audits
Size Matters: Smaller Batches Yield More Efficient Risk-Limiting Audits Small-Batch Audit Meeting Washington, DC 27 28 March 2010 Philip B. Stark http://statistics.berkeley.edu/~stark This document: http:
More informationSilage Corn Variety Trial in Central Arizona
Silage Corn Variety Trial in Central Arizona Shawna Loper 1 and Jay Subramani 2 1 University of Arizona of Arizona Cooperative Extension, Pinal County 2 Maricopa Ag Center, University of Arizona Abstract
More information#611-7 Workbook REVIEW OF PERCOLATION TESTING PROCEDURES. After completing this chapter, you will be able to...
REVIEW OF PERCOLATION 7 TESTING PROCEDURES CHAPTER OBJECTIVES: After completing this chapter, you will be able to... Discuss the purpose of a percolation test. List the regulatory requirements for conducting
More informationLM-80 Data. Results from Curve Desk Lamp Lumen Maintenance Testing And Use Of IES LM Data
Curveby LM-80 Data Results from Curve Desk Lamp Lumen Maintenance Testing And Use Of IES LM-80-08 Data This report is provided by Inc. and applies to lumen maintenance testing for the Curve desk lamp.
More informationSilage Corn Variety Trial in Central Arizona
Silage Corn Variety Trial in Central Arizona Jay Subramani 1 and Shawna Loper 2 1 Maricopa Ag Center, University of Arizona 2 University of Arizona Cooperative Extension, Pinal County Abstract Information
More informationNovember K. J. Martijn Cremers Lubomir P. Litov Simone M. Sepe
ONLINE APPENDIX TABLES OF STAGGERED BOARDS AND LONG-TERM FIRM VALUE, REVISITED November 016 K. J. Martijn Cremers Lubomir P. Litov Simone M. Sepe The paper itself is available at https://papers.ssrn.com/sol3/papers.cfm?abstract-id=364165.
More informationTemperature effect on pollen germination/tube growth in apple pistils
FINAL PROJECT REPORT Project Title: Temperature effect on pollen germination/tube growth in apple pistils PI: Dr. Keith Yoder Co-PI(): Dr. Rongcai Yuan Organization: Va. Tech Organization: Va. Tech Telephone/email:
More informationQUARTELY MAIZE MARKET ANALYSIS & OUTLOOK BULLETIN 1 OF 2015
QUARTELY MAIZE MARKET ANALYSIS & OUTLOOK BULLETIN 1 OF 2015 INTRODUCTION The following discussion is a review of the maize market environment. The analysis is updated on a quarterly 1 basis and the interval
More informationBiologist at Work! Experiment: Width across knuckles of: left hand. cm... right hand. cm. Analysis: Decision: /13 cm. Name
wrong 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 right 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 score 100 98.6 97.2 95.8 94.4 93.1 91.7 90.3 88.9 87.5 86.1 84.7 83.3 81.9
More informationCafeteria Ordering System, Release 1.0
Software Requirements Specification for Cafeteria Ordering System, Release 1.0 Version 1.0 approved Prepared by Karl Wiegers Process Impact November 4, 2002 Software Requirements Specification for Cafeteria
More informationOnline Appendix for. Inattention and Inertia in Household Finance: Evidence from the Danish Mortgage Market,
Online Appendix for Inattention and Inertia in Household Finance: Evidence from the Danish Mortgage Market, Steffen Andersen, John Y. Campbell, Kasper Meisner Nielsen, and Tarun Ramadorai. 1 A. Institutional
More informationWashington State Snap-Ed Curriculum Fidelity for Continuous Improvement
Washington State Snap-Ed Curriculum Fidelity for Continuous Improvement Lesson Assessment Tool for CATCH 7 th Grade - Lesson 7 The Color Power of Fruits and Veggies Educator Self-Assessment Supervisor
More informationStatewide Monthly Participation for Asian Non-Hispanic by Cultural Identities, Months of Prenatal Participation & Breastfeeding Amount
MN WIC PROGRAM Statewide Monthly Participation for Asian Non-Hispanic by Cultural Identities, Months of Prenatal Participation & Breastfeeding Amount COUNTS/MONTHLY PARTICIPATION (9.15.16) Report Overview
More informationRead & Download (PDF Kindle) The Everything Pressure Cooker Cookbook
Read & Download (PDF Kindle) The Everything Pressure Cooker Cookbook Pressure cookers will boost flavor and cut cooking time a whopping 70 percent - but only if you know how to use them. In this cookbook,
More informationThe Moscone Center Production Guide
Page 1 of 5 These guidelines have been developed to help you properly design and execute your production here at The Moscone Center. They are intended to answer your questions and introduce you to the
More informationTopic: Preventing Cross-Contamination
Topic: Preventing Cross-Contamination WHAT IS Back to Basics? Four food safety training activities - to help train your frontline employees. Customize these modules by reviewing your own policies and applicable
More informationQUARTERLY REVIEW OF THE PERFORMANCE OF THE DAIRY INDUSTRY 1
QUARTERLY REVIEW OF THE PERFORMANCE OF THE DAIRY INDUSTRY 1 The information in this document is from sources deemed to be correct. Milk SA, the MPO and SAMPRO are not responsible for the results of any
More informationSubject: Industry Standard for a HACCP Plan, HACCP Competency Requirements and HACCP Implementation
Amendment 0: January 2000 Page: 1 V I S C New Zealand Subject: Industry Standard for a HACCP Plan, HACCP Competency Requirements and HACCP Implementation Reference Nos: VISC 1 Date issued: 27 January 2000
More informationTamanend Wine Consulting
Tamanend Wine Consulting PRODUCTION SOFTWARE FOR WINEMAKERS Wine Operations and Laboratory Analyses LOGIN PROCESS ENSURING SECURITY AND PRIVACY Tamanend Software Systems is a Cloud based system designed
More information1. Identify environmental conditions (temperature) and nutritional factors (i.e. sugar and fat) that encourages the growth of bacteria.
Food Explorations Lab II: Magnificent Microbes STUDENT LAB INVESTIGATIONS Name: Lab Overview In this investigation, you will use bacterial fermentation to produce yogurt. Fat content, sugar content (lactose),
More informationYou know what you like, but what about everyone else? A Case study on Incomplete Block Segmentation of white-bread consumers.
You know what you like, but what about everyone else? A Case study on Incomplete Block Segmentation of white-bread consumers. Abstract One man s meat is another man s poison. There will always be a wide
More informationARM4 Advances: Genetic Algorithm Improvements. Ed Downs & Gianluca Paganoni
ARM4 Advances: Genetic Algorithm Improvements Ed Downs & Gianluca Paganoni Artificial Intelligence In Trading, we want to identify trades that generate the most consistent profits over a long period of
More informationNational 5 ADDITIONAL QUESTION BANK You have chosen to study: Statistics. Please choose a question to attempt from the following: Back to Unit 2 Menu
National 5 ADDITIONAL QUESTION BANK You have chosen to study: Statistics Please choose a question to attempt from the following: 1 2 3 4 Back to Unit 2 Menu Statistics : Question 1 Adam works for a fast
More informationGlobal Protein-Based Multiplex Assay Market Research Report 2021
Published on Market Research Reports Inc. (https://www.marketresearchreports.com) Home > Global Protein-Based Multiplex Assay Market Research Report 2021 Global Protein-Based Multiplex Assay Market Research
More informationWashington Vineyard Acreage Report: 2011
Washington Vineyard Acreage Report: 2011 COMPILED BY USDA/NATIONAL AGRICULTURAL STATISTICS SERVICE WASHINGTON FIELD OFFICE DAVID KNOPF, DIRECTOR DENNIS KOONG, DEPUTY DIRECTOR P. O. BOX 609 OLYMPIA, WASHINGTON
More informationSTAT 5302 Applied Regression Analysis. Hawkins
Homework 3 sample solution 1. MinnLand data STAT 5302 Applied Regression Analysis. Hawkins newdata
More informationAPFEL package and interface
APFEL package and interface arxiv:13.1394 Stefano Carrazza University & INFN Milan PDF4LHC - CERN December 13, 013 http://apfel.hepforge.org/ in collaboration with Valerio Bertone and Juan Rojo Stefano
More informationPlease sign and date here to indicate that you have read and agree to abide by the above mentioned stipulations. Student Name #4
The following group project is to be worked on by no more than four students. You may use any materials you think may be useful in solving the problems but you may not ask anyone for help other than the
More informationThe Fruits We Eat. The Fruits We Eat
We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with the fruits we eat. To
More informationBiosignal Processing Mari Karsikas
Independent component analysis, ICA Biosignal Processing 2009 5.11. Mari Karsikas After PCA studies Motivation Motivation Independent component analysis (ICA) is a statistical and computational technique
More informationRoux Bot Home Cooker. UC Santa Cruz, Baskin Engineering Senior Design Project 2015
Roux Bot Home Cooker UC Santa Cruz, Baskin Engineering Senior Design Project 2015 Group Information: Dustin Le Computer Engineering, Robotics Focus dutale@ucsc.edu Justin Boals Electrical Engineering jboals@ucsc.edu
More informationCandidate Agreement. The American Wine School (AWS) WSET Level 4 Diploma in Wines & Spirits Program PURPOSE
The American Wine School (AWS) WSET Level 4 Diploma in Wines & Spirits Program PURPOSE Candidate Agreement The purpose of this agreement is to ensure that all WSET Level 4 Diploma in Wines & Spirits candidates
More informationThe Development of a Weather-based Crop Disaster Program
The Development of a Weather-based Crop Disaster Program Eric Belasco Montana State University 2016 SCC-76 Conference Pensacola, FL March 19, 2016. Belasco March 2016 1 / 18 Motivation Recent efforts to
More informationProblem How does solute concentration affect the movement of water across a biological membrane?
Name Class Date Observing Osmosis Introduction Osmosis is the diffusion of water across a semipermeable membrane, from an area of high water concentration to an area of low water concentration. Osmosis
More informationAudrey Page. Brooke Sacksteder. Kelsi Buckley. Title: The Effects of Black Beans as a Flour Replacer in Brownies. Abstract:
Audrey Page Brooke Sacksteder Kelsi Buckley Title: The Effects of Black Beans as a Flour Replacer in Brownies Abstract: One serving of beans can provide 30% of an average adult s daily recommendation for
More informationPinto and Great Northern Bean Prices: Historical Trends and Seasonal Patterns
EXTENSION EC825 Pinto and Great Northern Bean Prices: Historical Trends and Seasonal Patterns Jessica J. Johnson Extension Educator-Agricultural Economics Cover photo by David Ostdiek 2 The Board of Regents
More informationFOOD SAFETY RISK ASSESSMENT FOR CCS CANTEENS AND KITCHENS. General purpose Catering kitchen, Hot & Cold Drinks. Created on 22/11/2010
C C S construction catering services tel 0207 682 2682 email info@constructioncateringservices.com 44 Staverton Rd London NW2 5HL Tel / Fax +44 207 682 2682 info@constructioncateringservices.com www.constructioncateringservices.com
More informationExperiment 2: ANALYSIS FOR PERCENT WATER IN POPCORN
Experiment 2: ANALYSIS FOR PERCENT WATER IN POPCORN Purpose: The purpose is to determine and compare the mass percent of water and percent of duds in two brands of popcorn. Introduction: When popcorn kernels
More informationFINISHED FOOD SPECIFICATION SHEET
Effective 2017-10-20 Program: 21.0 Specification Program Market: USA Item Name: Finished Foods: Chocolate Chip Frozen Cookie Dough Made With Whole Grain Chocolate Chip Cookies Made With Whole Grain Brand
More informationNotes on the Philadelphia Fed s Real-Time Data Set for Macroeconomists (RTDSM) Indexes of Aggregate Weekly Hours. Last Updated: December 22, 2016
1 Notes on the Philadelphia Fed s Real-Time Data Set for Macroeconomists (RTDSM) Indexes of Aggregate Weekly Hours Last Updated: December 22, 2016 I. General Comments This file provides documentation for
More informationLabor Requirements and Costs for Harvesting Tomatoes. Zhengfei Guan, 1 Feng Wu, and Steven Sargent University of Florida
Labor Requirements and Costs for ing Tomatoes Zhengfei Guan, 1 Feng Wu, and Steven Sargent University of Florida Introduction Florida accounted for 30% to 40% of all commercially produced fresh-market
More informationGRADE: 11. Time: 60 min. WORKSHEET 2
GRADE: 11 Time: 60 min. WORKSHEET 2 Coffee is a nearly traditional drink that nearly all families drink in the breakfast or after the meal. It varies from place to place and culture to culture. For example,
More informationWhich of your fingernails comes closest to 1 cm in width? What is the length between your thumb tip and extended index finger tip? If no, why not?
wrong 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 right 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 score 100 98.5 97.0 95.5 93.9 92.4 90.9 89.4 87.9 86.4 84.8 83.3 81.8 80.3 78.8 77.3 75.8 74.2
More informationDe La Salle University Dasmariñas
A COMPARATIVE STUDY OF THE LEVEL OF CUSTOMER SATISFACTION OF J.CO DONUTS IN SM DASMARIÑAS & KRISPY KREME THE DISTRICT IMUS An Undergraduate Thesis Presented to The Faculty of Hospitality Management De
More informationPitfalls for the Construction of a Welfare Indicator: An Experimental Analysis of the Better Life Index
Clemens Hetschko, Louisa von Reumont & Ronnie Schöb Pitfalls for the Construction of a Welfare Indicator: An Experimental Analysis of the Better Life Index University Alliance of Sustainability Spring
More informationFactors influencing growth performance and estimation of genetic parameters in crossbred pigs
IOSR Journal of Agriculture and Veterinary Science (IOSR-JAVS e-issn: -, p-issn: -.Volume, Issue (Nov. - Dec., PP - Factors influencing growth performance and estimation of genetic parameters in crossbred
More informationCaffeine in Energy Drinks
Page 1 of 7 (Too Much??) Learning Objectives: Caffeine in Energy Drinks Preparation of energy drink sample for testing Separation of caffeine from other components in energy drinks using HPLC (high performance
More informationEXECUTIVE SUMMARY. 1. When do Asian clams reproduce in Lake George? 2. How fast do Asian clams grow in Lake George?
Reproduction and Growth of Asian Clams in Lake George Report to the Lake George Association 3-21-16 Sandra Nierzwicki-Bauer, Jeremy Farrell Darrin Fresh Water Institute EXECUTIVE SUMMARY Asian clams have
More informationBiocides IT training Vienna - 4 December 2017 IUCLID 6
Biocides IT training Vienna - 4 December 2017 IUCLID 6 Biocides IUCLID training 2 (18) Creation and update of a Biocidal Product Authorisation dossier and use of the report generator Background information
More informationTHE INTERNATIONAL OLIVE COUNCIL
1991R2568 EN 01.10.2008 022.001 75 ANNEX XII THE INTERNATIONAL OLIVE COUNCIL S METHOD FOR THE ORGANOLEPTIC ASSESSMENT OF VIRGIN OLIVE OIL 1. PURPOSE AND SCOPE This method is based on Decision No DEC-21/95-V/2007
More informationENGI E1006 Percolation Handout
ENGI E1006 Percolation Handout NOTE: This is not your assignment. These are notes from lecture about your assignment. Be sure to actually read the assignment as posted on Courseworks and follow the instructions
More informationGCSE 4091/01 DESIGN AND TECHNOLOGY UNIT 1 FOCUS AREA: Food Technology
Surname Centre Number Candidate Number Other Names 0 GCSE 4091/01 DESIGN AND TECHNOLOGY UNIT 1 FOCUS AREA: Food Technology A.M. TUESDAY, 19 May 2015 2 hours S15-4091-01 For s use Question Maximum Mark
More information2 nd Midterm Exam-Solution
2 nd Midterm Exam- اس تعن ابهلل وكن عىل يقني بأ ن لك ما ورد يف هذه الورقة تعرفه جيدا وقد تدربت عليه مبا فيه الكفاية Question #1: Answer the following with True or False: 1. The non-parametric input modeling
More informationALBINISM AND ABNORMAL DEVELOPMENT OF AVOCADO SEEDLINGS 1
California Avocado Society 1956 Yearbook 40: 156-164 ALBINISM AND ABNORMAL DEVELOPMENT OF AVOCADO SEEDLINGS 1 J. M. Wallace and R. J. Drake J. M. Wallace Is Pathologist and R. J. Drake is Principle Laboratory
More information