In: Statistics and Probability
A researcher would like to test whether or not people who have
stocked up on a year’s supply of toilet paper are experiencing less
stress during a statewide stay-at-home order. A statewide poll
indicates that the average stress level for the general state
population is 60.5 (with a standard deviation of 11.6) and is
normally distributed. Using a random sample of 36 toilet paper
hoarders that have a mean stress level of 54.7 (and a standard
deviation of 10.3), test the researcher’s hypothesis using an alpha
of .03
State the hypotheses for this study, Establish the rejection
criteria for this study, Compute the test statistic, Does
toilet-paper hoarding significantly relieve stress during a
pandemic? Yes/no – explain how you reached your conclusion. -
Regardless of your answer to the previous question, then compute
the effect size for this study.
The null and alternative hypothesis
We shall use z test for mean ( as sample size > 30 and population standard deviation is known ), this is a left tailed test (as the alternative hypothesis is
For , the critical value of z is
zc = - 1.89 ( from z table : area from - infinity to -1.89 is 0.03 )
Reject H0 if z < -1.89
Test statistic is
= -3.00
Since calculated z < -1.89
We reject the null hypothesis
YES , there is sufficient evidence to conclude that hoarders have mean stress level less than that of general population .
Cohen's d effect size is given by
effect size =
= ( 54.7-60.5)/11.6
= 0.5 ( we ignore the sign in effect size)
Note : The effect size is medium
Note : Cohen's d
small effect :0.2
medium effect : 0.5
large effect : 0.8
Note : Though sample standard deviation is given , we have not used it , as it is not apprpriate for z test .