14 3) Answer True or False: If the p-value is 0.13 and the level of significance, a, is 0.05 in a hypothesis test for a mean, then we accept the alternative hypothesis. b. Suppose a hypothesis test was performed with a level of significance of 0.05. Then if the null hypothesis is actually true, then there is a 5% chance that the researcher will end up rejecting the null hypothesis in ATTOT

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Please answer question 1 a-j
3) Answer True or False:
If the p-value is 0.13 and the level of significance, a, is 0.05 in a
hypothesis test for a mean, then we accept the alternative hypothesis.
b. Suppose a hypothesis test was performed with a level of significance
of 0.05. Then if the null hypothesis is actually true, then there is a 5%
chance that the researcher will end up rejecting the null hypothesis in
error.
c. Suppose a sample size of 87 was used to conduct a right tailed
hypothesis test for a single population mean. The null hypothesis was
Ho: u 45 and the sample mean was 50 and the p-value was 0.03.
Then there is a 3% chance that 87 randomly selected individuals from
a population with a mean of 45 and the same standard deviation would
have a sample mean greater than 50.
Increasing the sample size and decreasing the level of confidence are
two ways of obtaining a narrower margin of error for a confidence
interval.
LLEGE
e. A 95% confidence interval for the mean was computed with a sample
of size 90 to be (16,22). Then the Error is ±6.
f. If the sample size is 81 and the population standard deviation is 27,
then the standard deviation of the sampling distribution for the mean
27
81
is
g. The symbol μy represents the population mean of all possible sample
means from samples of size n.
Q Search
Page <
Transcribed Image Text:3) Answer True or False: If the p-value is 0.13 and the level of significance, a, is 0.05 in a hypothesis test for a mean, then we accept the alternative hypothesis. b. Suppose a hypothesis test was performed with a level of significance of 0.05. Then if the null hypothesis is actually true, then there is a 5% chance that the researcher will end up rejecting the null hypothesis in error. c. Suppose a sample size of 87 was used to conduct a right tailed hypothesis test for a single population mean. The null hypothesis was Ho: u 45 and the sample mean was 50 and the p-value was 0.03. Then there is a 3% chance that 87 randomly selected individuals from a population with a mean of 45 and the same standard deviation would have a sample mean greater than 50. Increasing the sample size and decreasing the level of confidence are two ways of obtaining a narrower margin of error for a confidence interval. LLEGE e. A 95% confidence interval for the mean was computed with a sample of size 90 to be (16,22). Then the Error is ±6. f. If the sample size is 81 and the population standard deviation is 27, then the standard deviation of the sampling distribution for the mean 27 81 is g. The symbol μy represents the population mean of all possible sample means from samples of size n. Q Search Page <
81
g. The symbol ux represents the population mean of all possible sample
means from samples of size n.
2
h. The symbol o represents the population standard deviation of all
possible sample means from samples of size n.
i. The symbol represents the population mean of all possible sample
means of size n.
Q Search
j. With a large sample size such as n = 100, we do not need to assume
the distribution is normal in order to compute a 95% confidence
interval for the mean.
hp
Page <
Transcribed Image Text:81 g. The symbol ux represents the population mean of all possible sample means from samples of size n. 2 h. The symbol o represents the population standard deviation of all possible sample means from samples of size n. i. The symbol represents the population mean of all possible sample means of size n. Q Search j. With a large sample size such as n = 100, we do not need to assume the distribution is normal in order to compute a 95% confidence interval for the mean. hp Page <
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