Researchers would like the probability of which of the following research decision outcomes to be the greatest?
Statistical Power (1.00 minus Beta)
The probability that the test statistic will fall inside the region of rejection due to chance alone is equal to which of the following probabilities?
Alpha
Each of the following are true with respect to Hypothesis testing except for:
there are no exceptions, because all of the statements above are true.
In order to reduce the likelihood of committing a Type II error, the researcher could
increase the sample size
Which of the following statements is false?
Ho (null hypothesis) refers to a specified value of a sample statistic. Refer to Section 9.1, "Hypothesis-Testing Methodology," (p. 328).
If an individual rejects a true null hypothesis, then she/he has:
made a Type I error.
A Type II error is committed when:
you fail to reject a null hypothesis that is really false.
If a researcher wishes to determine whether there is evidence that the mean family income in the U.S. is greater than $30,000, then:
a one-tailed test should be utilized, in which the region of rejection is in the right (upper tail).
In a hypothesis test, the probability of obtaining a value of the test statistic equal to or even more extreme than the value observed - given the null hypothesis is true - is referred to as:
the p-value.
What is the critical value for a two-tailed hypothesis test on a population mean when alpha is 5%, and the population standard deviation is known?
1.96
If the p-value is greater than alpha in a two-tailed test:
the null hypothesis should not be rejected.
If the p-value is less than alpha in a one-tailed test:
the null hypothesis should be rejected.
If a one-tailed test for a proportion is being performed and the upper critical value is +2.33 and the test statistic is equal to +1.37, then:
the null hypothesis should not be rejected.
The region of rejection for a one-tailed test is:
found in the tail that supports the alternative hypothesis.
Which of the following measures how close the observed sample statistic has come to the hypothesized population parameter?
test statistic
If you were running a small sample (e.g., n=24) two-tailed test, then the critical t-value would be ________ if alpha was chosen as 5%.
2.069
If a p-value for a hypothesis test on a mean was given as 0.0330, and the level of significance used was 5%, then the conclusion would be to
reject the null hypothesis
The power of a statistical test is the probability of rejecting the null hypothesis when it is _______. When you increase alpha, the power of the test will _______.
false / increase
Which of the following would be an appropriate alternative hypothesis for a one-tail test?
The population proportion is less than 0.65.
The quantity (1 - alpha) is called:
the confidence coefficient.
It is possible to directly compare the results of a confidence interval estimate to the results obtained by testing a null hypothesis if:
a two-tailed test is used.
One should reach the same conclusions in the conduct of a hypothesis test, regardless of whether one is using the critical-value approach, or the p-Value approach to hypothesis testing.
T
The risk of committing a Type I error is higher when the level of significance selected is 0.01, compared to a level of significance of 0.05.
FALSE
When the sample size is increased, the statistical power of the hypothesis test (1.00 minus Beta) also increases.
TRUE
If the null hypothesis is rejected, then one can conclude that the alternative hypothesis is supported by the observed findings.
TRUE
Alpha is the probability of committing a Type I error.
TRUE
Alpha is the probability of committing a Type I error.
TRUE
The power of a test is the probability of rejecting the Null Hypothesis when the Null Hypothesis is really true.
FALSE
The larger the difference between the actual value of the population mean and the value hypothesized, the larger beta will be.
FALSE
For a given level of significance, if the sample size is increased, the power of the test will decrease.
FALSE
For a given level of significance, if the sample size is increased, the probability of committing a Type II error will increase.
False
The value that separates a rejection region from a nonrejection region is called the p-value.
FALSE
The Z test statistic is a numerical quantity computed from the data of a sample and the hypothesized population parameter, and is used in reaching a decision on whether or not to reject the null hypothesis.
TRUE
In testing a hypothesis, the collection and examination of the data should precede the formulation of statements for the null and alternative hypotheses.
TRUE