In: Statistics and Probability
A past study claimed that adults in America spent an average of 18 hours a week on leisure activities. A researcher wanted to test this claim. She took a sample of 10 adults and asked them about the time they spend per week on leisure activities. Their responses (in hours) are as follows.
14.2 | 15.8 | 22.8 | 23.1 | 20.7 | 37.6 | 13 | 13.9 | 20.5 | 20.0 |
Assume that the times spent on leisure activities by all adults
are normally distributed. Using the 5% significance level, can you
conclude that the average amount of time spent by American adults
on leisure activities has changed? (Hint: First calculate
the sample mean and the sample standard deviation for these data.
Then make the test of hypothesis about μ.)
Round the sample standard deviation to three decimal
places.
x¯=
s=
The claim is
.
necessary calculation table:-
hours(x) | x2 |
14.2 | 201.64 |
15.8 | 249.64 |
22.8 | 519.84 |
23.1 | 533.61 |
20.7 | 428.49 |
37.6 | 1413.76 |
13 | 169 |
13.9 | 193.21 |
20.5 | 420.25 |
20 | 400 |
sum=201.6 | sum=4529.44 |
sample size (n) = 10
a).sample mean be:-
b).sample sd be:-
c).hypothesis:-
test statistic is:-
df = (n-1 )= (10-1) = 9
p value = 0.3669
[ in any blank cell of excel type =T.DIST.2T(0.95,9)]
decision:-
p value = 0.3669 >0.05
so we fail to reject the null hypothesis.
conclusion:-
there is not sufficient evidence conclude that the average amount of time spent by American adults on leisure activities has changed at 0.05 level of significance.