Use the following information to answer Questions 1 through
3
The manager of OfficeSpace Inc. wishes to determine whether
employees with an office spend more or less “down time” on the
computer than employees working in a cubicle. She tracks the
monitors of 7 cubicle-workers (denoted as X) and 3 office-workers
for 8 hours each. She finds that the cubicle-workers spend an
average of 38 minutes of “down time,” and the office-workers spend
an average of 49 minutes of “down time,” with a pooled sample
standard deviation of 7 minutes. Suppose the manager determines a
level of significance for the test equal to 0.01.
1) Write down the null and alternative hypotheses. Is this a left-, right-, or two-tailed test?
2) Calculate the t-score of the samples.
3) What should the manager conclude from this hypothesis test? Briefly explain how you came to this decision.
1)null hypothesis :Ho: office =cubicle
alternate hypothesis: Ha: officecubicle
this is two tailed hypothesis
2)
for std errror =Sp*sqrt(1/n1+1/n2)=7*sqrt(1/7+1/3)=4.83
hence test statsitic t=(x1bar-x2bar)/std error =(38-49)/4.83=-2.277
3)
at 0.01 level and (n1+n2-2=8) degree of freedom ; rejection region t<-3.355 or t>3.355
as test statstisic does not fall in rejection region we can not reject null hypothesis
we do not have evidence to conlcude that “down time” on the computer differes between employees working in a cubicle and office,
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