sstats
Determine whether the statement is true or false. If it is false, rewrite it as a true statement. As the size of a sample increases, the mean of the distribution of sample means increases.
False. As the size of a sample increases, the mean of the distribution of sample means does not change.
A large P-value in a test will favor a rejection of the null hypothesis
False. A small P-value in a test will favor a rejection of the null hypothesis.
Describe type I and type II errors for a hypothesis test of the indicated claim. -A furniture store claims that no more than 70% of its new customers will return to buy their next piece of furniture. -Describe the type I error.
-A type I error will occur when the actual proportion of new customers who return to buy their next piece of furniture is no more than 0.70, but you reject H0:p≤0.70.
Determine whether the statement is true or false. If it is false, rewrite it as a true statement. -A large P-value in a test will favor a rejection of the null hypothesis.
-False. A small P-value in a test will favor a rejection of the null hypothesis.
If you decide to reject the null hypothesis, then you can support the alternative hypothesis.
True
Determine whether the statement is true or false. If it is false, rewrite it as a true statement. -In a hypothesis test, you assume the alternative hypothesis is true.
-False. In a hypothesis test, you assume the null hypothesis is true.
two-tailed, left-tailed,right-tailed
-If the alternative hypothesis contains the not-equal-to inequality symbol, then it is a two-tailed test. -If the alternative hypothesis contains the less-than inequality symbol, then it is a left-tailed test. -If the alternative hypothesis contains the greater-than inequality symbol, then it is a right-tailed test.
Explain the difference between the z-test for μ using rejection region(s) and the z-test for μ using a P-value.
-In the z-test using rejection region(s), the test statistic is compared with critical values. The z-test using a P-value compares the P-value with the level of significance α. This is the correct answer.
Determine whether the statement shown below is true or false. If it is false, rewrite is as a true statement. -If you want to support a claim, write it as your null hypothesis.
-The statement is false. If you want to support a claim, write it as your alternative hypothesis.
Identify the type I error for a hypothesis test of the indicated claim. -The percentage of adults who retire at age 65 is greater than 62%.
Reject the null hypothesis that the percentage of adults who retire at age 65 is less than or equal to 62% when it is actually true.
In hypothesis testing, does choosing between the critical value method or the P-value method affect your conclusion? Explain.
-No, because both involve comparing the test statistic's probability with the level of significance.
Determine whether the statement is true or false. If it is false, rewrite it as a true statement. A sampling distribution is normal only if the population is normal.
The statement is false. A sampling distribution is normal if either n≥30 or the population is normal.
Determine whether the statement is true or false. If it is false, rewrite it as a true statement. As the size of a sample increases, the standard deviation of the distribution of sample means increases.
This statement is false. A true statement is, "As the size of a sample increases, the standard deviation of the distribution of sample means decreases."
Determine whether the statement is true or false. If it is false, rewrite it as a true statement. If the size of a sample is at least 30, then you can use z-scores to determine the probability that a sample mean falls in a given interval of the sampling distribution.
This statement is true.
Determine whether the statement is true or false. If it is false, rewrite it as a true statement. -If you decide to reject the null hypothesis, then you can support the alternative hypothesis.
-This statement is true.
What are the two decisions that you can make from performing a hypothesis test?
-fail to reject the null hypothesis -reject the null hypothesis
What are the two types of hypotheses used in a hypothesis test? How are they related?
-null and alternative -They are complements.