Use the following R code to access

data from the Getting To know You Survey

NOU = read CSV ( http : / users stat . umm edu / parky / Getting YOUFall2018 csy " )

Our goal is to use the above dataset to investigate whether there

there is any difference in mean hours spent studying

each day among the following 3 groups of students based on when they shower : morning , evening , or depends

To reach our goal , we will go through the following steps

( a ) Draw the side-by - side boxpl

at of average number of hours spent studying per day by shower group using

the following R comman

boxplot ( studying " shower , data = Not )

Show your boxplot in your write up

( b ) What info

Imation do you gather with the side- by - side boxplots in ( a )

( c ) Based on the side - by -side boxplot graph in ( a ) , does it appear that the test assumptions have been met ?

Explain your reasoning

( a ) State the null and alternative hypothesis

( e ) Complete the sections with questions marks in the ANOVA table . Do not use R to do this

ATOW ( NOW )

[ 17 491

Source of Variation of Sum Sq Mean Sq F value p - value

Shower

? | 47.6

Residuals

? | 26728

( f ) Confirm your table in part ( e ) with the R output . You may use the following R command

gov ( studying

shower , data = Not )

summary ( aovi )

( 8 ) Based on the p - value from the ANOVA table , wh

what do you conclude about the test at a = 0.05 ? Interpret

your conclusion

( h ) Based on the p - value from the A NOVA table , what do you conclude about the test at a = 0.01 ? Interpret

your conclusion

( 1 ) What further analysis should we do if we know the mean study time is different for at least two groups ?

Why

AT 3011

Homework 9 ( Due : Sun . Dec . 2 2018 )

Fall 2018

( 3 ) Use R to construct Tukey H .S . D . multiple comparison confidence intervals for the mean study times for

the three different groups . Use an overall confidence level of 1 - a = 095 . Show your R output

( K ) Interpret the results from Tukey's test . Indicating which groups are different , if any