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IS FINAL FKK

Terms in this set (30)

The sum of the values of β and α
a. always add up to 1.0
b. always add up to 0.5
c. is the probability of Type II error
d. none of these alternatives is correct
d. none of these alternatives is correct
What type of error occurs if you fail to reject H0 when, in fact, it is not true?
a. Type II
b. Type I
c. either Type I or Type II, depending on the level of significance
d. either Type I or Type II, depending on whether the test is one tail or two tail
a. Type II
An assumption made about the value of a population parameter is called a
a. hypothesis
b. conclusion
c. confidence
d. significance
a. hypothesis
The probability of committing a Type I error when the null hy-pothesis is true is
a. the confidence level
b. β
c. greater than 1
d. the Level of Significance
d. the Level of Significance
In hypothesis testing,
a. the smaller the Type I error, the smaller the Type II error will be
b. the smaller the Type I error, the larger the Type II error will be
c. Type II error will not be effected by Type I error
d. the sum of Type I and Type II errors must equal to 1
b. the smaller the Type I error, the larger the Type II error will be
In hypothesis testing, the tentative assumption about the population parameter is
a. the alternative hypothesis
b. the null hypothesis
c. either the null or the alternative
d. None of these alternatives is correct.
b. the null hypothesis
For a lower tail test, the p-value is the probability of obtaining a value for the test statistic
a. at least as small as that provided by the sample
b. at least as large as that provided by the sample
c. at least as small as that provided by the population
d. at least as large as that provided by the population.
a. at least as small as that provided by the sample
The p-value is a probability that measures the support (or lack of support) for the
a. null hypothesis
b. alternative hypothesis
c. either the null or the alternative hypothesis
d. sample statistic
a. null hypothesis
The p-value
a. is the same as the Z statistic
b. measures the number of standard deviations from the mean
c. is a distance
d. is a probability
d. is a probability
For a two-tail test, the p-value is the probability of obtaining a value for the test statistic as
a. likely as that provided by the sample
b. unlikely as that provided by the sample
c. likely as that provided by the population
d. unlikely as that provided by the population
b. unlikely as that provided by the sample
In hypothesis testing if the null hypothesis is rejected,
a. no conclusions can be drawn from the test
b. the alternative hypothesis is true
c. the data must have been accumulated incorrectly
d. the sample size has been too small
b. the alternative hypothesis is true
The level of significance is the
a. maximum allowable probability of Type II error
b. maximum allowable probability of Type I error
c. same as the confidence coefficient
d. same as the p-value
b. maximum allowable probability of Type I error
The power curve provides the probability of
a. correctly accepting the null hypothesis
b. incorrectly accepting the null hypothesis
c. correctly rejecting the alternative hypothesis
d. correctly rejecting the null hypothesis
d. correctly rejecting the null hypothesis
A Type II error is committed when
a. a true alternative hypothesis is mistakenly rejected
b. a true null hypothesis is mistakenly rejected
c. the sample size has been too small
d. not enough information has been available
a. a true alternative hypothesis is mistakenly rejected
The error of rejecting a true null hypothesis is
a. a Type I error
b. a Type II error
c. is the same as
d. committed when not enough information is available
a. a Type I error
The level of significance in hypothesis testing is the probability of
a. accepting a true null hypothesis
b. accepting a false null hypothesis
c. rejecting a true null hypothesis
d. None of these alternatives is correct.
c. rejecting a true null hypothesis
The level of significance
a. can be any positive value
b. can be any value
c. is (1 - confidence level)
d. can be any value between -1.96 to 1.96
c. is (1 - confidence level)
In hypothesis testing if the null hypothesis has been rejected when the alternative hypothesis has been true,
a. a Type I error has been committed
b. a Type II error has been committed
c. either a Type I or Type II error has been committed
d. the correct decision has been made
d. the correct decision has been made
The probability of making a Type I error is denoted by
a. α
b. β
c. 1 - α
d. 1 - β
a. α
The probability of making a Type II error is denoted by
a. α
b. β
c. 1 - α
d. 1 - β
b. β
When the following hypotheses are being tested at a level of significance of

H0: > 100
Ha: < 100

the null hypothesis will be rejected if the p-value is
a. α
b. > α
c. > α/2
d. α/2
a. α
When the p-value is used for hypothesis testing, the null hypothesis is rejected if
a. p-value α
b. α < p-value
c. p-value α
d. p-value = α
a. p-value α
Which of the following does not need to be known in order to compute the p-value?
a. knowledge of whether the test is one-tailed or two-tailed
b. the value of the test statistic
c. the level of significance
d. None of these alternatives is correct.
c. the level of significance
In the hypothesis testing procedure, α is
a. the level of significance
b. the critical value
c. the confidence level
d. 1 - level of significance
a. the level of significance
If a hypothesis test leads to the rejection of the null hypothesis,
a. a Type II error must have been committed
b. a Type II error may have been committed
c. a Type I error must have been committed
d. a Type I error may have been committed
d. a Type I error may have been committed
If a hypothesis is rejected at the 5% level of significance, it
a. will always be rejected at the 1% level
b. will always be accepted at the 1% level
c. will never be tested at the 1% level
d. may be rejected or not rejected at the 1% level
d. may be rejected or not rejected at the 1% level
If a hypothesis is not rejected at the 5% level of significance, it
a. will also not be rejected at the 1% level
b. will always be rejected at the 1% level
c. will sometimes be rejected at the 1% level
d. None of these alternatives is correct.
a. will also not be rejected at the 1% level
The probability of rejecting a false null hypothesis is equal to
a. 1 - α
b. 1 - β
c. α
d. β
b. 1 - β
If the level of significance of a hypothesis test is raised from .01 to .05, the probability of a Type II error
a. will also increase from .01 to .05
b. will not change
c. will decrease
d. will increase
c. will decrease
If a hypothesis is rejected at 95% confidence, it
a. will always be accepted at 90% confidence
b. will always be rejected at 90% confidence
c. will sometimes be rejected at 90% confidence
d. None of these alternatives is correct.
b. will always be rejected at 90% confidence
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