Hours 4.8 6.4 7.1 6.2 7.1 4.4 7.6 5.5 8.5 4.6 3.4 4.6 5.1 9.1 9.7 6.3 8.6 4.9 4.
ID: 3061267 • Letter: H
Question
Hours 4.8 6.4 7.1 6.2 7.1 4.4 7.6 5.5 8.5 4.6 3.4 4.6 5.1 9.1 9.7 6.3 8.6 4.9 4.5 6.8 4.8 7.2 4.2 7.3 5.5 5.6 7.1 6.2 5.9 7.4 6.9 9.5 7.1 6.9 5.0 Sleep (Raw Data, Software Required): Assume the general population gets an average of 7 hours of sleep per night. You randomly select 35 college students and survey them on the number of hours of sleep they get per night. The data is found in the table below. You claim that college students get less sleep than the general population. That is, you claim the mean number of hours of sleep for all college students is less than 7 hours. Test this claim at the 0.05 significance level DATA ( n = 35 Sleep per Night College Students (a) What type of test is this? O This is a left-tailed test. O This is a right-tailed test. O This is a two-tailed test. Hours 4.8 6.4 7.1 6.2 7.1 4.4 7.6 (b) What is the test statistic? Round your answer to 2 decimal places (c) Use software to get the P-value of the test statistic. Round to 4 decimal places P-value- (d) What is the conclusion regarding the null hypothesis? reject Ho O fail to reject Ho 8.5 4.6 4.6 (e) Choose the appropriate concluding statement. O The data supports the claim that college students get less sleep than the general population O There is not enough data to support the claim that college students get less sleep than the 9.1 9.7 6.3 8.6 4.9 general population O We reject the claim that college students get less sleep than the general population O We have proven that college students get less sleep than the general population 6.8 4.8 7.2 4.2 7.3 5.6 7.1 6.2 5.9 7.4 6.9 9.5 7.1 6.9 5.0Explanation / Answer
SolutionA:
H0:mu=7
H1::mu<7
left tailed test
Solutionb:
t=-2.48
Solutionc:
p-value = 0.0091
Solutiond:
p<alpha
Reject H0
Solutione:
OptionA:
Data supports the claim that college students gets less sleep than the general population.
USED R SOFTWARE:
CODE IS
we have loaded to dataframe sleep
print(sleep$Hours)
output:
[1] 4.8 6.4 7.1 6.2 7.1 4.4 7.6 5.5 8.5 4.6 3.4 4.6 5.1 9.1 9.7 6.3
[17] 8.6 4.9 4.5 6.8 4.8 7.2 4.2 7.3 5.5 5.6 7.1 6.2 5.9 7.4 6.9 9.5
[33] 7.1 6.9 5.0
Rcde for one tail t test is
t.test(sleep$Hours,mu=7,alternative = "less")
output:
One Sample t-test
data: sleep$Hours
t = -2.4807, df = 34, p-value = 0.00911
alternative hypothesis: true mean is less than 7
95 percent confidence interval:
-Inf 6.78896
sample estimates:
mean of x
6.337143
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