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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...

I am trying to solve this using R Studio. I would like help with the R code. Please help with the last two parts about the Tukey's test.


Screen Shot 2018-12-02 at 8.59.39 AM.png

Screen Shot 2018-12-02 at 8.59.39 AM.png

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

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