1. Using the 2018 GSS data to examine the relationship between sex (sex) and personal income...
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1. Using the 2018 GSS data to examine the relationship between sex (sex) and personal income (conrinc) conrinc is a numerical variable, measured in USD, and sex is a categorical variable 1a Reproduce the summary statistics of conrinc by sex using R/Rcmdr. 1b. Reproduce the boxplot Iconrinc by sex using R/Rcmdr 1c Use t-test to examine whether there is a gender disparity in income 2 1sing the 2018. GSS to examino rolf identifind #1. Using the 2018 GSS data to examine the relationship between sex (sex) and education level (educ). educ is a numerical variable, measured in USD, and sex is a categorical variable. #la. Produce the summary statistics of educ by sex using R/Rcmdr. #Rcmdr: Statistics → Summaries → Numerical Summaries numSummary(gss2018[,"educ"], groups-gss2018$sex) #1b. Produce the boxplot of edu by sex using R/Rcmdr. #Rcmdr: Graphs →→ Boxplot Boxplot(educ sex, data=gss2018) #1c. Use t-test to examine whether there is a gender disparity in income. #note, R/Cmdr's menu does not include this option, you have to adapt this command line. t.test(gss2018$educ[gss2018$sex=="male"], gss2018$educ[gss2018$sex=="female"]) 1. Using the 2018 GSS data to examine the relationship between sex (sex) and personal income (conrinc) conrinc is a numerical variable, measured in USD, and sex is a categorical variable 1a Reproduce the summary statistics of conrinc by sex using R/Rcmdr. 1b. Reproduce the boxplot Iconrinc by sex using R/Rcmdr 1c Use t-test to examine whether there is a gender disparity in income 2 1sing the 2018. GSS to examino rolf identifind #1. Using the 2018 GSS data to examine the relationship between sex (sex) and education level (educ). educ is a numerical variable, measured in USD, and sex is a categorical variable. #la. Produce the summary statistics of educ by sex using R/Rcmdr. #Rcmdr: Statistics → Summaries → Numerical Summaries numSummary(gss2018[,"educ"], groups-gss2018$sex) #1b. Produce the boxplot of edu by sex using R/Rcmdr. #Rcmdr: Graphs →→ Boxplot Boxplot(educ sex, data=gss2018) #1c. Use t-test to examine whether there is a gender disparity in income. #note, R/Cmdr's menu does not include this option, you have to adapt this command line. t.test(gss2018$educ[gss2018$sex=="male"], gss2018$educ[gss2018$sex=="female"])
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1a Reproduce the summary statistics of conrinc by sex using RRcmdr RRcmdr Statistics Summaries Numer... View the full answer
Related Book For
Statistics The Art And Science Of Learning From Data
ISBN: 9780321997838
4th Edition
Authors: Alan Agresti, Christine A. Franklin, Bernhard Klingenberg
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