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 = 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 ?1 = 0.6 hour. Another random sample of n2 = 11 adults showed that they had an average REM sleep time of x2 = 2.20 hours per night. Previous studies show that ?2 = 0.7 hour. Do these data indicate that, on average, children tend to have more REM sleep than adults? Use a 1% level of significance.   State the null and alternate hypotheses. H0: ?1 = ?2; H1: ?1 ≠ ?2 H0: ?1 < ?2; H1: ?1 = ?2     H0: ?1 = ?2; H1: ?1 > ?2 H0: ?1 = ?2; H1: ?1 < ?2 (b) What sampling distribution will you use? What assumptions are you making? 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.   The standard normal. We assume that both population distributions are approximately normal with unknown standard deviations.   What is the value of the sample test statistic? (Test the difference ?1 − ?2. Round your answer to two decimal places.) Find (or estimate) the P-value. (Round your answer to four decimal places.)   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 ?? At the ? = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant.   At the ? = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.       At the ? = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant.   At the ? = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant.   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.      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 sufficient evidence that the mean REM sleep time for children is more than for adults.

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 = 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 ?₁ = 0.6 hour. Another random sample of n₂ = 11 adults showed that they had an average REM sleep time of x₂ = 2.20 hours per night. Previous studies show that ?₂ = 0.7 hour. Do these data indicate that, on average, children tend to have more REM sleep than adults? Use a 1% level of significance.

State the null and alternate hypotheses.

(b) What sampling distribution will you use? What assumptions are you making?

What is the value of the sample test statistic? (Test the difference ?₁ − ?₂. Round your answer to two decimal places.)

Find (or estimate) the P-value. (Round your answer to four decimal places.)

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 ??

Interpret your conclusion in the context of the application.