5 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 adultst. Assume that REM sleep time is normally distributed for both children and adults. A random sample of n = 11 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 o₁ = 0.6 hour. Another random sample of n₂ = 11 adults showed that they had an average REM sleep time of x2 = 2.50 hours per night. Previous studies show that 0 ₂ = 0.5 hour. Do these data indicate that, on average, children tend to have more REM sleep than adults? Use a 10% level of significance. Solve the problem using both the traditional method and the P-value method. (Test the difference μ1-2. Round the test statistic and critical value to two decimal places. Round the P-value to four decimal places.) test statistic critical value P-value Conclusion Fail to reject the null hypothesis, there is insufficient evidence that the mean REM sleep time for children is more than for adults. 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

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Chapter11: Data Analysis And Probability
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Problem 8CR
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Do both short problems

5
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 adultst. Assume
that REM sleep time is normally distributed for both children and adults. A random sample
of m= 11 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 o₁ = 0.6 hour. Another random sample of m2 = 11 adults
showed that they had an average REM sleep time of x2 = 2.50 hours per night. Previous studies show that
0 2 = 0.5 hour. Do these data indicate that, on average, children tend to have more REM sleep than adults?
Use a 10% level of significance. Solve the problem using both the traditional method and the P-value
method. (Test the difference μ1-2. Round the test statistic and critical value to two decimal places.
Round the P-value to four decimal places.)
test statistic
critical value
P-value
Conclusion
Fail to reject the null hypothesis, there is insufficient evidence that the mean REM sleep time for children
is more than for adults. 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
1
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.
Compare your conclusion with the conclusion obtained by using the P-value method. Are they the same?
These two methods differ slightly. The conclusions obtained by using both methods are the same.
O
We reject the null hypothesis using the traditional method, but fail to reject using the P-value method.
We reject the null hypothesis using the P-value method, but fail to reject using the traditional method.
Transcribed Image Text:5 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 adultst. Assume that REM sleep time is normally distributed for both children and adults. A random sample of m= 11 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 o₁ = 0.6 hour. Another random sample of m2 = 11 adults showed that they had an average REM sleep time of x2 = 2.50 hours per night. Previous studies show that 0 2 = 0.5 hour. Do these data indicate that, on average, children tend to have more REM sleep than adults? Use a 10% level of significance. Solve the problem using both the traditional method and the P-value method. (Test the difference μ1-2. Round the test statistic and critical value to two decimal places. Round the P-value to four decimal places.) test statistic critical value P-value Conclusion Fail to reject the null hypothesis, there is insufficient evidence that the mean REM sleep time for children is more than for adults. 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 1 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. Compare your conclusion with the conclusion obtained by using the P-value method. Are they the same? These two methods differ slightly. The conclusions obtained by using both methods are the same. O We reject the null hypothesis using the traditional method, but fail to reject using the P-value method. We reject the null hypothesis using the P-value method, but fail to reject using the traditional method.
4
A random sample of m= 10 regions in New England gave the following violent crime rates (per million
population).
X₁: New England Crime Rate
3.3 3.9 4.2 4.1 3.3 4.1 1.8 4.8 2.9 3.1
Another random sample of m2 = 12 regions in the Rocky Mountain states gave the following violent crime
rates (per million population).
X2: Rocky Mountain Crime Rate
3.5 4.1 4.7 5.5 3.3 4.8 3.5 2.4 3.1 3.5 5.2 2.8
USE SALT
Assume that the crime rate distribution is approximately normal in both regions. Do the data indicate that
the violent crime rate in the Rocky Mountain region is higher than in New England? Use x = 0.01. Solve
the problem using both the traditional method and the P-value method. (Test the difference μ 1 - μ2.
Round the test statistic and critical value to three decimal places.)
test statistic
critical value
Find (or estimate) the P-value.
P-value > 0.250 0.125 < P-value < 0.250
0.005< P-value < 0.025 P-value < 0.005
0.050 < P-value < 0.125 0.025 < P-value < 0.050
Conclusion
Fail to reject the null hypothesis, there is sufficient evidence that violent crime in the Rocky Mountain
region is higher than in New England. Reject the null hypothesis, there is sufficient evidence that
violent crime in the Rocky Mountain region is higher than in New England. Fail to reject the null
hypothesis, there is insufficient evidence that violent crime in the Rocky Mountain region is higher than in
New England. Reject the null hypothesis, there is insufficient evidence that violent crime in the Rocky
Mountain region is higher than in New England.
Compare your conclusion with the conclusion obtained by using the P-value method. Are they the same?
The conclusions obtained by using both methods are the same. We reject the null hypothesis using
the traditional method, but fail to reject using the P-value method. These two methods differ slightly.
We reject the null hypothesis using the P-value method, but fail to reject using the traditional method.
Transcribed Image Text:4 A random sample of m= 10 regions in New England gave the following violent crime rates (per million population). X₁: New England Crime Rate 3.3 3.9 4.2 4.1 3.3 4.1 1.8 4.8 2.9 3.1 Another random sample of m2 = 12 regions in the Rocky Mountain states gave the following violent crime rates (per million population). X2: Rocky Mountain Crime Rate 3.5 4.1 4.7 5.5 3.3 4.8 3.5 2.4 3.1 3.5 5.2 2.8 USE SALT Assume that the crime rate distribution is approximately normal in both regions. Do the data indicate that the violent crime rate in the Rocky Mountain region is higher than in New England? Use x = 0.01. Solve the problem using both the traditional method and the P-value method. (Test the difference μ 1 - μ2. Round the test statistic and critical value to three decimal places.) test statistic critical value Find (or estimate) the P-value. P-value > 0.250 0.125 < P-value < 0.250 0.005< P-value < 0.025 P-value < 0.005 0.050 < P-value < 0.125 0.025 < P-value < 0.050 Conclusion Fail to reject the null hypothesis, there is sufficient evidence that violent crime in the Rocky Mountain region is higher than in New England. Reject the null hypothesis, there is sufficient evidence that violent crime in the Rocky Mountain region is higher than in New England. Fail to reject the null hypothesis, there is insufficient evidence that violent crime in the Rocky Mountain region is higher than in New England. Reject the null hypothesis, there is insufficient evidence that violent crime in the Rocky Mountain region is higher than in New England. Compare your conclusion with the conclusion obtained by using the P-value method. Are they the same? The conclusions obtained by using both methods are the same. We reject the null hypothesis using the traditional method, but fail to reject using the P-value method. These two methods differ slightly. We reject the null hypothesis using the P-value method, but fail to reject using the traditional method.
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