Scaffolding Technology, Educational Blog for Teachers and Learners

1. The p-value of the test is the

A. Smallest significance level at which the null hypothesis cannot be rejected

B. Smallest significance level at which the null hypothesis can be rejected

C. Largest significance level at which the null hypothesis cannot be rejected

D. Largest significance level at which the null hypothesis can be rejected

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2. In order to determine the p-value, which of the following is not needed?

A. Whether the test is one tailed or two tailed

B. The value of test statistics

C. The level of significance

D. The form of the null and alternate hypothesis

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3. We apply a ……………… when there is enough indication to suggest that the value of the test statistic u is significantly less than the hypothetical value.

A. Right-tailed test

B. Left-tailed test

C. Center-tailed test

D. None of the above

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4. Consider a hypothesis H0 where ϕ0 = 5 against H1 where ϕ1 > 5. The test is?

A. Left tailed

B. Center tailed

C. Cross tailed

D. Right tailed

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5. Right-tailed test is also known as

A. Upper-tailed test

B. Lower-tailed test

C. Single-tailed test

D. None of the above

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6. 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

A. The sample size should be decreased

B. The alternative hypothesis must be accepted

C. The null hypothesis should be rejected

D. The null hypothesis should not be rejected

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7. A hypothesis test in which rejection of the null hypothesis occurs for values of the point estimator in either tail of the sampling distribution is called

A. The alternative hypothesis

B. A one-tailed test

C. A two-tailed test

D. The null hypothesis

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8. Consider a hypothesis where H0 where ϕ0 = 23 against H1 where ϕ1 < 23. The test is

A. Cross tailed

B. Center tailed

C. Left tailed

D. Right tailed

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9. We apply a ……………… when there is evidence to suggest that the value of the statistic u is significantly greater than the hypothetical value θ0.

A. Single-tailed test

B. Left- tailed test

C. Right- tailed test

D. None of the above

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10. Left-tailed test is also known as

A. Lower-tailed test

B. Upper-tailed test

C. Decreased test

D. None of the above

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11. If the p-value is greater than alpha in a two-tailed test

A. The null hypothesis should be rejected

B. Alpha should be changed

C. A one-tailed test should be used

D. The null hypothesis should not be rejected

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12. The region of rejection for a one-tailed test is:

A. Found in the tail that supports the alternative hypothesis

B. Always greater than 0.05

C. Found in the tail that supports the null hypothesis

D. Always greater than that for a two-tailed test

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13. It is a statistical test to determine whether two population means are different when the variances are known and the sample size is large

A. Z-test

B. T-test

C. Chi square test

D. None of the above

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14. When the sample size is very …………… any test can be approximated by a Z- test

A. Small

B. Unknown

C. Large

D. None of the above

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15. ………… for population proportion is an exact test

A. K-test

B. Z-test

C. N-test

D. None of the above

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16. Which of the following statement is true?

A. A z-test is a statistical test to determine whether two population means are different when the variances are known and the sample size is large.

B. A z-statistic, or z-score, is a number representing the result from the z-test.

C. Z-tests are closely related to t-tests, but t-tests are best performed when an experiment has a small sample size

D. All of the above

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17. Z-scores can be

A. Positive

B. Negative

C. Can never be negative

D. Either (a) or (b)

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18. Z-test is also known as

A. Standard normal variate test

B. Standard normal deviate test

C. Both (a) and (b)

D. Neither (a) nor (b)

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19. Suppose we reject the null hypothesis at 5% level of significance. For which of the following level of significance do we also reject the null hypothesis?

A. 2.5%

B. 4%

C. 6%

D. 3%

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20. A sample of 50 items is taken from a normal population with mean as 5 and standard deviation as 3. The sample mean comes out to be 4.38. What is the z value?

A. Z = 1.532

B. Z = 2.367

C. Z = 1.689

D. Z = -1.789

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