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A law enforcement agent believes that at least 88% of the drivers stopped for speeding on Saturday nights are under the influence of alcohol.A sample of 66 drivers who were stopped for speeding on a Saturday night was taken.Eighty percent of the drivers in the sample were under the influence of alcohol. a. State the null and alternative hypotheses. b. Compute the test statistic. c. Using the p-value approach, test the hypotheses at the .05 level of significance.

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a.
H0: p blured image .88
Ha: p ...

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In the hypothesis testing procedure, α is the


A) level of significance.
B) critical value.
C) confidence level.
D) p-value.

E) C) and D)
F) A) and B)

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The power curve provides the probability of


A) correctly accepting the null hypothesis.
B) incorrectly accepting the null hypothesis.
C) incorrectly rejecting the null hypothesis.
D) correctly rejecting the null hypothesis.

E) None of the above
F) A) and B)

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Consider the following hypothesis test: H0: μ = 10 Ha: μ ≠ 10 A sample of 81 provides a sample mean of 9.5 and a sample standard deviation of 1.8. a. Determine the standard error of the mean. b. Compute the value of the test statistic. c. Determine the p-value; and at the 5% level, test the above hypotheses.

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a.
.2
b.
t = -2.5
...

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In a two-tailed hypothesis test situation, the test statistic is determined to be t = -2.032.The sample size is 35.The p-value for this test is


A) -.05.
B) +.05.
C) -.10.
D) +.10.

E) A) and B)
F) None of the above

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A sample of 30 cookies is taken to test the claim that each cookie contains at least 9 chocolate chips.The average number of chocolate chips per cookie in the sample was 7.8 with a standard deviation of 3. a. State the null and alternative hypotheses. b. Using the critical value approach, test the hypotheses at the 5% level of significance. c. Using the p-value approach, test the hypotheses at the 5% level of significance. d. Compute the probability of a Type II error if the true number of chocolate chips per cookie is 8.

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a.
H0: μ blured image 9
Ha: μ < 9
b.
test ...

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As the test statistic becomes larger, the p-value


A) gets smaller.
B) becomes larger.
C) goes beyond 1.
D) becomes negative.

E) A) and C)
F) All of the above

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A sample of 81 account balances of a credit company showed an average balance of $1200 with a standard deviation of $126. a. Formulate the hypotheses that can be used to determine whether the mean of all account balances is significantly different from $1150. b. Compute the test statistic. c. Using the p-value approach, what is your conclusion? Let α = .05.

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a.
H0: μ = $1150
Ha: μ ≠ $1150...

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In order to determine the average price of hotel rooms in Atlanta, a sample of 64 hotels was selected.It was determined that the average price of the rooms in the sample was $108.50 with a standard deviation of $16. a. Formulate the hypotheses to determine whether or not the average room price is significantly different from $112. b. Compute the test statistic. c. Using the p-value approach, test the hypotheses.Let α = .1.

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a.
H0: μ = $112
Ha: ...

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Read the z statistic from the normal distribution table and choose the correct answer.For a one-tailed test (lower tail) using α = .0901, z =


A) -1.86.
B) -1.34.
C) -1.96.
D) -1.645.

E) B) and D)
F) All of the above

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Confirmed cases of West Nile virus in birds for a sample of six counties in the state of Georgia are shown below.Assume the population is normally distributed. Confirmed cases of West Nile virus in birds for a sample of six counties in the state of Georgia are shown below.Assume the population is normally distributed.   ​ We are interested in testing the following hypotheses regarding these data: ​ H<sub>0</sub>: μ   3 H<sub>a</sub>: μ > 3  a. Compute the mean and the standard deviation of the sample. b. Compute the standard error of the mean. c. Determine the test statistic. d. Determine the p-value; and using α = .10, test the hypotheses.What is your conclusion? ​ We are interested in testing the following hypotheses regarding these data: ​ H0: μ Confirmed cases of West Nile virus in birds for a sample of six counties in the state of Georgia are shown below.Assume the population is normally distributed.   ​ We are interested in testing the following hypotheses regarding these data: ​ H<sub>0</sub>: μ   3 H<sub>a</sub>: μ > 3  a. Compute the mean and the standard deviation of the sample. b. Compute the standard error of the mean. c. Determine the test statistic. d. Determine the p-value; and using α = .10, test the hypotheses.What is your conclusion? 3 Ha: μ > 3 a. Compute the mean and the standard deviation of the sample. b. Compute the standard error of the mean. c. Determine the test statistic. d. Determine the p-value; and using α = .10, test the hypotheses.What is your conclusion?

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a.
4 and 1.265 (rounded)
b.
...

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​When the null hypothesis is not rejected, it is​


A) possible a Type I error has occurred.
B) possible a Type II error has occurred.
C) not possible a Type II error has occurred.
D) ​possible either a Type I or a Type II error has occurred.

E) B) and D)
F) A) and B)

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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) neither the null nor the alternative.

E) B) and C)
F) None of the above

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For a lower tail test, the test statistic z is determined to be zero.The p-value for this test is


A) zero.
B) -.5.
C) +.5.
D) 1.

E) All of the above
F) A) and C)

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If the null hypothesis is rejected at the 5% level of significance, it _____ at the 1% level.


A) will always be rejected
B) will always not be rejected
C) will never be tested
D) may be rejected or not rejected

E) B) and D)
F) B) and C)

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When the p-value is used for hypothesis testing, the null hypothesis is rejected if


A) p-value 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 = 1 - α/2. D)  p-value = 1 - α. α.
B) α < p-value.
C) p-value = 1 - α/2.
D) p-value = 1 - α.

E) A) and D)
F) A) and C)

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​In hypothesis testing, the critical value is


A) ​a number that establishes the boundary of the rejection region.
B) ​the probability of a Type I error.
C) ​the probability of a Type II error.
D) ​the same as the p-value.

E) B) and C)
F) C) and D)

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The average life expectancy of tires produced by the Whitney Tire Company has been 40,000 miles.Management believes that due to a new production process, the life expectancy of their tires has increased.In order to test the validity of their belief, the correct set of hypotheses is


A) H0: μ < 40,000 Ha: μ The average life expectancy of tires produced by the Whitney Tire Company has been 40,000 miles.Management believes that due to a new production process, the life expectancy of their tires has increased.In order to test the validity of their belief, the correct set of hypotheses is A)  H<sub>0</sub>: μ < 40,000 H<sub>a</sub>: μ   40,000. B)  H<sub>0</sub>: μ   40,000 H<sub>a</sub>: μ > 40,000. C)  H<sub>0</sub>: μ > 40,000 H<sub>a</sub>: μ   40,000. D)  H<sub>0</sub>: μ   40,000 H<sub>a</sub>: μ < 40,000. 40,000.
B) H0: μ The average life expectancy of tires produced by the Whitney Tire Company has been 40,000 miles.Management believes that due to a new production process, the life expectancy of their tires has increased.In order to test the validity of their belief, the correct set of hypotheses is A)  H<sub>0</sub>: μ < 40,000 H<sub>a</sub>: μ   40,000. B)  H<sub>0</sub>: μ   40,000 H<sub>a</sub>: μ > 40,000. C)  H<sub>0</sub>: μ > 40,000 H<sub>a</sub>: μ   40,000. D)  H<sub>0</sub>: μ   40,000 H<sub>a</sub>: μ < 40,000. 40,000 Ha: μ > 40,000.
C) H0: μ > 40,000 Ha: μ The average life expectancy of tires produced by the Whitney Tire Company has been 40,000 miles.Management believes that due to a new production process, the life expectancy of their tires has increased.In order to test the validity of their belief, the correct set of hypotheses is A)  H<sub>0</sub>: μ < 40,000 H<sub>a</sub>: μ   40,000. B)  H<sub>0</sub>: μ   40,000 H<sub>a</sub>: μ > 40,000. C)  H<sub>0</sub>: μ > 40,000 H<sub>a</sub>: μ   40,000. D)  H<sub>0</sub>: μ   40,000 H<sub>a</sub>: μ < 40,000. 40,000.
D) H0: μ The average life expectancy of tires produced by the Whitney Tire Company has been 40,000 miles.Management believes that due to a new production process, the life expectancy of their tires has increased.In order to test the validity of their belief, the correct set of hypotheses is A)  H<sub>0</sub>: μ < 40,000 H<sub>a</sub>: μ   40,000. B)  H<sub>0</sub>: μ   40,000 H<sub>a</sub>: μ > 40,000. C)  H<sub>0</sub>: μ > 40,000 H<sub>a</sub>: μ   40,000. D)  H<sub>0</sub>: μ   40,000 H<sub>a</sub>: μ < 40,000. 40,000 Ha: μ < 40,000.

E) A) and B)
F) A) and D)

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Read the t statistic from the t distribution table and choose the correct answer.For a two-tailed test with a sample size of 20 and using α = .20, t =


A) 1.341.
B) 1.337.
C) .865.
D) .866.

E) None of the above
F) A) and B)

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A grocery store has an average sales of $8000 per day.The store introduced several advertising campaigns in order to increase sales.To determine whether or not the advertising campaigns have been effective in increasing sales, a sample of 100 days of sales was selected.It was found that the average was $8200 per day.From past information, it is known that the standard deviation of the population is $1500.The value of the test statistic is


A) .013.
B) .133.
C) 13.33.
D) 1.33.

E) None of the above
F) B) and D)

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