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Basic Statistics For Business And Economics 9th Edition By Douglas – Test Bank
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Basic Statistics For Business And Economics 9th Edition By Douglas – Test Bank

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Basic Statistics For Business And Economics 9th Edition By Douglas – Test Bank

Chapter 11 Two-Sample Tests of Hypothesis

1) If the null hypothesis states that there is no difference between the mean income of males and females, this is a one-tailed test of hypothesis.

Answer: FALSE
Explanation: The test is two-tailed because we did not specify which group would have the larger mean. Also, the test is two-tailed because the null hypothesis is stated as “no difference,” or H0: μ1 = μ2.
Difficulty: 2 Medium
Topic: Two-Sample Tests of Hypothesis: Independent Samples
Learning Objective: 11-01 Test a hypothesis that two independent population means are equal, assuming that the population standard deviations are known and equal.
Bloom’s: Understand
AACSB: Communication
Accessibility: Keyboard Navigation

2) If the null hypothesis states that there is no difference between the mean net income of retail stores in Chicago and New York City, then the test is two-tailed.

Answer: TRUE
Explanation: The test is two-tailed because we did not specify which group would have the larger mean. Also, the test is two-tailed because the null hypothesis is stated as “no difference,” or H0: μ1 = μ2.
Difficulty: 2 Medium
Topic: Two-Sample Tests of Hypothesis: Independent Samples
Learning Objective: 11-01 Test a hypothesis that two independent population means are equal, assuming that the population standard deviations are known and equal.
Bloom’s: Understand
AACSB: Communication
Accessibility: Keyboard Navigation
3) When the standard deviations are equal but unknown, a test for the differences between two population means has n − 1 degrees of freedom.

Answer: FALSE
Explanation: The degrees of freedom in the two sample test of means (when we assume the sampled populations have equal but unknown standard deviations) is found by n1 + n2 − 2.
Difficulty: 1 Easy
Topic: Comparing Population Means with Unknown Population Standard Deviations
Learning Objective: 11-02 Test a hypothesis that two independent population means are equal, with unknown population standard deviations.
Bloom’s: Remember
AACSB: Communication
Accessibility: Keyboard Navigation
4) If we are testing for the difference between two population means and assume that the two populations have equal but unknown standard deviations, the sample standard deviations are pooled to compute the best estimate of the unknown population standard deviation. The result is then squared to arrive at the best estimate of the population variance.

Answer: TRUE
Explanation: We assume the sampled populations have equal but unknown standard deviations. Because of this assumption, we combine or “pool” the sample standard deviations.
Difficulty: 1 Easy
Topic: Comparing Population Means with Unknown Population Standard Deviations
Learning Objective: 11-02 Test a hypothesis that two independent population means are equal, with unknown population standard deviations.
Bloom’s: Remember
AACSB: Communication
Accessibility: Keyboard Navigation
5) If we are testing for the difference between two population means and assume that the two populations have equal and unknown standard deviations, the degrees of freedom are computed as (n1)(n2) − 1.

Answer: FALSE
Explanation: The degrees of freedom in the two sample test of means is found by n1 + n2 − 2. (Notice that they multiplied, rather than added, the sample sizes in the question. That makes it wrong.)
Difficulty: 1 Easy
Topic: Comparing Population Means with Unknown Population Standard Deviations
Learning Objective: 11-02 Test a hypothesis that two independent population means are equal, with unknown population standard deviations.
Bloom’s: Remember
AACSB: Communication
Accessibility: Keyboard Navigation

6) A statistics professor wants to compare grades in two different classes of the same course. This is an example of a paired sample.

Answer: FALSE
Explanation: A paired sample would require that individual observations be dependent (e.g. matched up like the homes in the Nickel Savings and Loan real estate appraisals example in LO11-3).The professor must assume the two classes are independent (i.e. the students are different in each class, and are not matched up) and use the two-sample test of means (as was inappropriately done (intentionally, for comparison purposes) with the same Nickel Savings and Loan data in LO11-4).
Difficulty: 2 Medium
Topic: Comparing Dependent and Independent Samples
Learning Objective: 11-04 Explain the difference between dependent and independent samples.
Bloom’s: Understand
AACSB: Communication
Accessibility: Keyboard Navigation
7) If we are testing for the difference between two population means with unknown population standard deviations, it is assumed that the sample observations from one population are independent of the sample observations from the other population.

Answer: TRUE
Explanation: There are three requirements or assumptions for the Two-Sample Test of —MeansUnknown σ′s:

• The sampled populations are approximately normally distributed.
• The sampled populations are independent.
• The standard deviations of the two populations are equal.
Difficulty: 1 Easy
Topic: Comparing Population Means with Unknown Population Standard Deviations
Learning Objective: 11-02 Test a hypothesis that two independent population means are equal, with unknown population standard deviations.
Bloom’s: Remember
AACSB: Communication
Accessibility: Keyboard Navigation

8) When dependent samples are used to test for differences in the means, we compute paired differences.

Answer: TRUE
Explanation: The sample is made up of the differences between the values for the related pairs of data.
Difficulty: 1 Easy
Topic: Two-Sample Tests of Hypothesis: Dependent Samples
Learning Objective: 11-03 Test a hypothesis about the mean population difference between paired or dependent observations.
Bloom’s: Remember
AACSB: Communication
Accessibility: Keyboard Navigation

9) If two dependent samples of size 20 are used to test the difference between the means, the degrees of freedom for a t-statistic are 19.

Answer: TRUE
Explanation: There are n − 1 degrees of freedom where n is the number of paired observations.
Difficulty: 1 Easy
Topic: Two-Sample Tests of Hypothesis: Dependent Samples
Learning Objective: 11-03 Test a hypothesis about the mean population difference between paired or dependent observations.
Bloom’s: Remember
AACSB: Communication
Accessibility: Keyboard Navigation
10) When dependent samples are used to test for differences in the means, we pool the sample variances.

Answer: FALSE
Explanation: When dependent samples are used to test for differences in means, we compute the variance of the differences between the paired observations. Sample variances are pooled only when the sampled populations are independent (not dependent as stated in the question).
Difficulty: 1 Easy
Topic: Two-Sample Tests of Hypothesis: Dependent Samples
Learning Objective: 11-03 Test a hypothesis about the mean population difference between paired or dependent observations.
Bloom’s: Remember
AACSB: Communication
Accessibility: Keyboard Navigation

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