In: Statistics and Probability
REM (rapid eye movement) sleep is sleep during which most dreams occur. Each night a person has both REM and non-REM sleep. However, it is thought that children have more REM sleep than adults†. Assume that REM sleep time is normally distributed for both children and adults. A random sample of n1 = 9 children (9 years old) showed that they had an average REM sleep time of x1 = 2.9 hours per night. From previous studies, it is known that σ1 = 0.7 hour. Another random sample of n2 = 9 adults showed that they had an average REM sleep time of x2 = 2.20 hours per night. Previous studies show that σ2 = 0.5 hour. Do these data indicate that, on average, children tend to have more REM sleep than adults? Use a 1% level of significance.
(a) What is the level of significance?
State the null and alternate hypotheses.
H0: μ1 = μ2;
H1: μ1 <
μ2H0: μ1 = μ2;
H1: μ1 ≠
μ2 H0:
μ1 = μ2; H1: μ1
> μ2H0: μ1 <
μ2; H1: μ1 =
μ2
(b) What sampling distribution will you use? What assumptions are you making?
The standard normal. We assume that both population
distributions are approximately normal with unknown standard
deviations.The Student's t. We assume that both population
distributions are approximately normal with unknown standard
deviations. The standard normal. We assume
that both population distributions are approximately normal with
known standard deviations.The Student's t. We assume that
both population distributions are approximately normal with known
standard deviations.
What is the value of the sample test statistic? (Test
the difference μ1 − μ2. Round your answer to
two decimal places.)
(c) Find (or estimate) the P-value. (Round your
answer to four decimal places.)
Sketch the sampling distribution and show the area corresponding to the P-value.
(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α?
At the α = 0.01 level, we fail to reject the null
hypothesis and conclude the data are not statistically
significant.At the α = 0.01 level, we fail to reject the null
hypothesis and conclude the data are statistically
significant. At the α = 0.01 level, we
reject the null hypothesis and conclude the data are not
statistically significant.At the α = 0.01 level, we reject the null
hypothesis and conclude the data are statistically
significant.
(e) Interpret your conclusion in the context of the application.
Reject the null hypothesis, there is insufficient
evidence that the mean REM sleep time for children is more than for
adults.Fail to reject the null hypothesis, there is sufficient
evidence that the mean REM sleep time for children is more than for
adults. Reject the null hypothesis, there is
sufficient evidence that the mean REM sleep time for children is
more than for adults.Fail to reject the null hypothesis, there is
insufficient evidence that the mean REM sleep time for children is
more than for adults.
Result:
REM (rapid eye movement) sleep is sleep during which most dreams occur. Each night a person has both REM and non-REM sleep. However, it is thought that children have more REM sleep than adults†. Assume that REM sleep time is normally distributed for both children and adults. A random sample of n1 = 9 children (9 years old) showed that they had an average REM sleep time of x1 = 2.9 hours per night. From previous studies, it is known that σ1 = 0.7 hour. Another random sample of n2 = 9 adults showed that they had an average REM sleep time of x2 = 2.20 hours per night. Previous studies show that σ2 = 0.5 hour. Do these data indicate that, on average, children tend to have more REM sleep than adults? Use a 1% level of significance.
(a) What is the level of significance?
level of significance = 0.01
State the null and alternate hypotheses.
H0: μ1 = μ2; H1: μ1 > μ2
(b) What sampling distribution will you use? What assumptions are you making?
The standard normal. We assume that both population distributions are approximately normal with known standard deviations.
What is the value of the sample test statistic? (Test the difference μ1 − μ2. Round your answer to two decimal places.)
test statistic = 2.44
(c) Find (or estimate) the P-value. (Round your answer to four decimal places.)
Sketch the sampling distribution and show the area corresponding to the P-value.
P value=0.0073
(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α?
At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant.
(e) Interpret your conclusion in the context of the application.
Reject the null hypothesis, there is sufficient evidence that the mean REM sleep time for children is more than for adults.
Z Test for Differences in Two Means |
|
Data |
|
Hypothesized Difference |
0 |
Level of Significance |
0.01 |
Population 1 Sample |
|
Sample Size |
9 |
Sample Mean |
2.9 |
Population Standard Deviation |
0.7 |
Population 2 Sample |
|
Sample Size |
9 |
Sample Mean |
2.2 |
Population Standard Deviation |
0.5 |
Intermediate Calculations |
|
Difference in Sample Means |
0.7 |
Standard Error of the Difference in Means |
0.2867 |
Z Test Statistic |
2.4412 |
Upper-Tail Test |
|
Upper Critical Value |
2.3263 |
p-Value |
0.0073 |
Reject the null hypothesis |