In a one-tailed hypothesis test in which the null hypothesis is $\mu$1 >$\mu$2, sample sizes were 12 for sample 1 and 16 for sample 2.Which of the following statements is true?

A) If the two populations are normal, with equal standard deviations, we can pool sample standard deviations to estimate the common population standard deviation. B) We could use the t distribution with df = 28 to conduct the test. C) The sample mean difference can only be approximated. D) The p-value for the sample mean difference would necessarily be less than$\alpha$. A) If the two populations are normal, with equal standard deviations, we can pool sample standard deviations to estimate the common population standard deviation. B) We could use the t distribution with df = 28 to conduct the test. C) The sample mean difference can only be approximated. D) The p-value for the sample mean difference would necessarily be less than$\alpha$. A

For a hypothesis test in which the null hypothesis is $\mu$1 - $\mu$2 > 0, which of the following statements must be true?

A) To reject the null hypothesis, $\mu$1 cannot be less than $\mu$2. B) Failing to reject the null hypothesis will mean that $\mu$1 and $\mu$2 are equal. C) The sample means will be different. D) The null hypothesis can only be rejected if the sample means are not equal. A) To reject the null hypothesis, $\mu$1 cannot be less than $\mu$2. B) Failing to reject the null hypothesis will mean that $\mu$1 and $\mu$2 are equal. C) The sample means will be different. D) The null hypothesis can only be rejected if the sample means are not equal.

Exam 10: Hypothesis Tests for Proportions, Mean Differences and Proportion Differences

If we are interested in making the case that the proportion in Population 1 is larger than the proportion in Population 2, and we plan to use the contrary position as the null hypothesis, then the

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Question 1

Correct Answer:

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You are using independent samples to test whether two population means are equal, with $\mu$ ₁ = $\mu$ ₂ as the null hypothesis.If the p-value for the test leads you to reject the null hypothesis at the 5% significance level, it will also lead you to reject the null hypothesis at the 1% significance level.

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Question 2

Correct Answer:

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In a one-tailed hypothesis test in which the null hypothesis is $\mu$ ₁ > $\mu$ ₂, sample sizes were 12 for sample 1 and 16 for sample 2.Which of the following statements is true?

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Question 3

Correct Answer:

Verified

You are testing the difference between two population means.The sample sizes are small.Under the assumption that the standard deviations of the two populations are equal and using a pooled estimator for the standard deviation, which of the following statements is true?

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Question 4

In a one-tailed hypothesis test in which the null hypothesis is $\mu$ ₁ > $\mu$ ₂, suppose sample results lead you to reject the null hypothesis at the 1% significance level.Which of the following statements must be true?

(Multiple Choice)

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Question 5

For a one-tailed hypothesis test in which the null hypothesis is $\pi$ > 7and sample size is 150, which of the following statements is true?

(Multiple Choice)

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Question 6

You are using a sample of size 100 to conduct a hypothesis test in which you want to determine whether a certain population proportion $\pi$ has increased since last year.If the null hypothesis is $\pi$ < .33 and the test statistic turns out to be 2.13, you should conclude, at the .05 significance level, that the population proportion has, in fact, increased.

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Question 7

You are using independent samples of size 10 to test whether two population means are equal, with $\mu$ ₁ = $\mu$ ₂ as the null hypothesis.If the populations are normal and have equal standard deviations, it would be appropriate to use a pooled sample standard deviation in your test.

(True/False)

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Question 8

One of the differences between conducting a two-tailed hypothesis test for the difference between two population means versus a one-tailed test is that the value of the test statistic becomes larger.

(True/False)

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Question 9

You are using a sample of size 120 to conduct a hypothesis test in which you want to determine whether a certain population proportion $\pi$ has changed since last year.If the null hypothesis is $\pi$ = .25 and the test statistic turns out to be 1.83, you should conclude, at the .05 significance level, that the population proportion has, in fact, changed.

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Question 10

In a matched sample design, one uses the average for each pair of data values when building a confidence interval.

(True/False)

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Question 11

In large sample cases, using a significance level of 5% in a one-tailed test in which the null hypothesis is $\pi$ ₁ < $\pi$ ₂, the decision rule is:

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Question 12

You are testing the difference between two population means.The pooled standard deviation is only appropriate if the two populations

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Question 13

For large sample cases, in a two-tailed test of the difference between two population means (significance level = 5%), the decision rule is:

(Multiple Choice)

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Question 14

You are using a sample of size 200 to conduct a hypothesis test in which you want to determine whether a certain population proportion $\pi$ has decreased since last year.If the null hypothesis is $\pi$ > .5 and the test statistic turns out to be -1.74, you should conclude, at the .05 significance level, that the population proportion has, in fact, decreased.

(True/False)

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Question 15

For a hypothesis test involving the difference between two proportions, the pooled sample proportion is a weighted average of the two individual sample proportions.

(True/False)

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Question 16

You are using independent samples of size 12 each to test whether two population means are equal, with $\mu$ ₁ = $\mu$ ₂ as the null hypothesis.If the p-value for the test turns out to be .0113, you should conclude, at the .01 significance level, that the population means are not the equal.

(True/False)

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Question 17

For a hypothesis test in which the null hypothesis is $\mu$ ₁ - $\mu$ ₂ > 0, which of the following statements must be true?

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Question 18

The positive critical value for a two-tailed hypothesis test of the difference between two population means is larger than for a one-tailed hypothesis test given the same level of significance.

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Question 19

In a hypothesis test in which the null hypothesis states that the difference between two population proportions is 0, that is, when $\pi$ ₁ = $\pi$ ₂, which of the following occurs?

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Question 20

Showing 1 - 20 of 39

If we are interested in making the case that the proportion in Population 1 is larger than the proportion in Population 2, and we plan to use the contrary position as the null hypothesis, then the

In a one-tailed hypothesis test in which the null hypothesis is $\mu$ ₁ > $\mu$ ₂, sample sizes were 12 for sample 1 and 16 for sample 2.Which of the following statements is true?

You are testing the difference between two population means.The sample sizes are small.Under the assumption that the standard deviations of the two populations are equal and using a pooled estimator for the standard deviation, which of the following statements is true?

In a one-tailed hypothesis test in which the null hypothesis is $\mu$ ₁ > $\mu$ ₂, suppose sample results lead you to reject the null hypothesis at the 1% significance level.Which of the following statements must be true?

For a one-tailed hypothesis test in which the null hypothesis is $\pi$ > 7and sample size is 150, which of the following statements is true?

You are using independent samples of size 10 to test whether two population means are equal, with $\mu$ ₁ = $\mu$ ₂ as the null hypothesis.If the populations are normal and have equal standard deviations, it would be appropriate to use a pooled sample standard deviation in your test.

One of the differences between conducting a two-tailed hypothesis test for the difference between two population means versus a one-tailed test is that the value of the test statistic becomes larger.

In a matched sample design, one uses the average for each pair of data values when building a confidence interval.

In large sample cases, using a significance level of 5% in a one-tailed test in which the null hypothesis is $\pi$ ₁ < $\pi$ ₂, the decision rule is:

You are testing the difference between two population means.The pooled standard deviation is only appropriate if the two populations

For large sample cases, in a two-tailed test of the difference between two population means (significance level = 5%), the decision rule is:

For a hypothesis test involving the difference between two proportions, the pooled sample proportion is a weighted average of the two individual sample proportions.

You are using independent samples of size 12 each to test whether two population means are equal, with $\mu$ ₁ = $\mu$ ₂ as the null hypothesis.If the p-value for the test turns out to be .0113, you should conclude, at the .01 significance level, that the population means are not the equal.

For a hypothesis test in which the null hypothesis is $\mu$ ₁ - $\mu$ ₂ > 0, which of the following statements must be true?

The positive critical value for a two-tailed hypothesis test of the difference between two population means is larger than for a one-tailed hypothesis test given the same level of significance.

In a hypothesis test in which the null hypothesis states that the difference between two population proportions is 0, that is, when $\pi$ ₁ = $\pi$ ₂, which of the following occurs?

An Introduction to Statistics

Descriptive Statistics I: Elementary Data Presentation and Description

Descriptive Statistics II: Additional Descriptive Measures and Data Displays

Probability

Discrete Probability Distributions

Continuous Probability Distributions

Statistical Inference: Estimating a Population Mean

Interval Estimates for Proportions, Mean Differences and Proportion Differences

Statistical Hypothesis Testing: Hypothesis Tests for a Population Mean

Basic Regression Analysis

Multiple Regression

F Tests and Analysis of Variance

Experimental Designonline Only

Chi-Square Tests

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Exam 10: Hypothesis Tests for Proportions, Mean Differences and Proportion Differences

If we are interested in making the case that the proportion in Population 1 is larger than the proportion in Population 2, and we plan to use the contrary position as the null hypothesis, then the

In a one-tailed hypothesis test in which the null hypothesis is μ\muμ 1 > μ\muμ 2, sample sizes were 12 for sample 1 and 16 for sample 2.Which of the following statements is true?

You are testing the difference between two population means.The sample sizes are small.Under the assumption that the standard deviations of the two populations are equal and using a pooled estimator for the standard deviation, which of the following statements is true?

In a one-tailed hypothesis test in which the null hypothesis is μ\muμ 1 > μ\muμ 2, suppose sample results lead you to reject the null hypothesis at the 1% significance level.Which of the following statements must be true?

For a one-tailed hypothesis test in which the null hypothesis is π\piπ > 7and sample size is 150, which of the following statements is true?

You are using independent samples of size 10 to test whether two population means are equal, with μ\muμ 1 = μ\muμ 2 as the null hypothesis.If the populations are normal and have equal standard deviations, it would be appropriate to use a pooled sample standard deviation in your test.

One of the differences between conducting a two-tailed hypothesis test for the difference between two population means versus a one-tailed test is that the value of the test statistic becomes larger.

In a matched sample design, one uses the average for each pair of data values when building a confidence interval.

In large sample cases, using a significance level of 5% in a one-tailed test in which the null hypothesis is π\piπ 1 < π\piπ 2, the decision rule is:

You are testing the difference between two population means.The pooled standard deviation is only appropriate if the two populations

For large sample cases, in a two-tailed test of the difference between two population means (significance level = 5%), the decision rule is:

For a hypothesis test involving the difference between two proportions, the pooled sample proportion is a weighted average of the two individual sample proportions.

You are using independent samples of size 12 each to test whether two population means are equal, with μ\muμ 1 = μ\muμ 2 as the null hypothesis.If the p-value for the test turns out to be .0113, you should conclude, at the .01 significance level, that the population means are not the equal.

For a hypothesis test in which the null hypothesis is μ\muμ 1 - μ\muμ 2 > 0, which of the following statements must be true?

The positive critical value for a two-tailed hypothesis test of the difference between two population means is larger than for a one-tailed hypothesis test given the same level of significance.

In a hypothesis test in which the null hypothesis states that the difference between two population proportions is 0, that is, when π\piπ 1 = π\piπ 2, which of the following occurs?

An Introduction to Statistics

Descriptive Statistics I: Elementary Data Presentation and Description

Descriptive Statistics II: Additional Descriptive Measures and Data Displays

Probability

Discrete Probability Distributions

Continuous Probability Distributions

Statistical Inference: Estimating a Population Mean

Interval Estimates for Proportions, Mean Differences and Proportion Differences

Statistical Hypothesis Testing: Hypothesis Tests for a Population Mean

Basic Regression Analysis

Multiple Regression

F Tests and Analysis of Variance

Experimental Designonline Only

Chi-Square Tests

Filters

In a one-tailed hypothesis test in which the null hypothesis is $\mu$ ₁ > $\mu$ ₂, sample sizes were 12 for sample 1 and 16 for sample 2.Which of the following statements is true?

In a one-tailed hypothesis test in which the null hypothesis is $\mu$ ₁ > $\mu$ ₂, suppose sample results lead you to reject the null hypothesis at the 1% significance level.Which of the following statements must be true?

For a one-tailed hypothesis test in which the null hypothesis is $\pi$ > 7and sample size is 150, which of the following statements is true?

You are using independent samples of size 10 to test whether two population means are equal, with $\mu$ ₁ = $\mu$ ₂ as the null hypothesis.If the populations are normal and have equal standard deviations, it would be appropriate to use a pooled sample standard deviation in your test.

In large sample cases, using a significance level of 5% in a one-tailed test in which the null hypothesis is $\pi$ ₁ < $\pi$ ₂, the decision rule is:

You are using independent samples of size 12 each to test whether two population means are equal, with $\mu$ ₁ = $\mu$ ₂ as the null hypothesis.If the p-value for the test turns out to be .0113, you should conclude, at the .01 significance level, that the population means are not the equal.

For a hypothesis test in which the null hypothesis is $\mu$ ₁ - $\mu$ ₂ > 0, which of the following statements must be true?

In a hypothesis test in which the null hypothesis states that the difference between two population proportions is 0, that is, when $\pi$ ₁ = $\pi$ ₂, which of the following occurs?