According to the Centers for Disease Control and Prevention (February 18, 2016),
ID: 3073902 • Letter: A
Question
According to the Centers for Disease Control and Prevention (February 18, 2016), 1 in 3 American adults don’t get enough sleep. A researcher wants to determine if Americans are sleeping less than the recommended 7 hours of sleep on weekdays. He takes a random sample of 150 Americans and computes the average sleep time of 6.7 hours on weekdays. Assume that the population is normally distributed with a known standard deviation of 2.1 hours. Test the researcher’s claim at = 0.01. (You may find it useful to reference the appropriate table:z table or t table)
a. Select the relevant null and the alternative hypotheses.
H0: = 7; HA: 7
H0: 7; HA: 7
H0: 7; HA: < 7
b. Calculate the value of the test statistic. (Negative value should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.)
Test statistic = ?
c. Find the p-value.
p-value < 0.01
0.01 p-value < 0.025
0.025 p-value < 0.05
0.05 p-value < 0.10
p-value 0.10
d. What is the conclusion at = 0.01?
Reject H0 since the p-value is greater than .
Reject H0 since the p-value is smaller than .
Do not reject H0 since the p-value is greater than .
Do not reject H0 since the p-value is smaller than .
e. Make an inference.
There is insufficient evidence to suggest that Americans sleep less than the recommended 7 hours of sleep.
There is sufficient evidence to suggest that Americans sleep less than the recommended 7 hours of sleep.
Explanation / Answer
Solution:-
a)
State the hypotheses. The first step is to state the null hypothesis and an alternative hypothesis.
Null hypothesis: u > 7.0
Alternative hypothesis: u < 7.0
Note that these hypotheses constitute a one-tailed test.
Formulate an analysis plan. For this analysis, the significance level is 0.01. The test method is a one-sample t-test.
Analyze sample data. Using sample data, we compute the standard error (SE), degrees of freedom (DF), and the t statistic test statistic (t).
SE = s / sqrt(n)
S.E = 0.17146
DF = n - 1
D.F = 149
b)
t = (x - u) / SE
t = - 1.75
where s is the standard deviation of the sample, x is the sample mean, u is the hypothesized population mean, and n is the sample size.
The observed sample mean produced a t statistic test statistic of - 1.75.
c) 0.025 p-value < 0.05
Thus the P-value in this analysis is 0.041.
Interpret results. Since the P-value (0.041) is greater than the significance level (0.01), we cannot reject the null hypothesis.
d) Reject H0 since the p-value is greater than .
e) There is insufficient evidence to suggest that Americans sleep less than the recommended 7 hours of sleep.
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