You want to compare a sample of n = 80 to a population where F1F1F1S1F1F1F10 = 6 and F1F1F1S1F1F1F10 = 4. If x̄ = 8, what is the value of the standardized effect size?

A) 4 B) -4 C) .67 D) 5.96 A) 4 B) -4 C) .67 D) 5.96

You collect a sample of n = 16 and want to know if the sample is significantly smaller than the population. If F1F1F1S1F1F1F10 is unknown and F1F1F1S1F1F1F10 = .05, what is the appropriate critical value?

A) -1.645 B) -1.960 C) -1.753 D) -1.746 A) -1.645 B) -1.960 C) -1.753 D) -1.746

You want to compare a sample of n = 25 to a population where F1F1F1S1F1F1F10 = 5 and F1F1F1S1F1F1F10 = 12. If x̄ = 15, what is the value of the test statistic?

A) 3 B) -3 C) 15 D) -15 A) 3 B) -3 C) 15 D) -15

You want to demonstrate that a sample of n = 36 has a greater mean than a population where F1F1F1S1F1F1F10 = 4 and F1F1F1S1F1F1F10 = 8. If x̄ = 10, what is the critical value?

A) 3.00 B) 1.96 C) 1.645 D) 2.02 A) 3.00 B) 1.96 C) 1.645 D) 2.02

You want to demonstrate that a sample of n = 25 has a different mean than a population where F1F1F1S1F1F1F10 = 2 and F1F1F1S1F1F1F10 = 7. If x̄ = 8, what is the correct decision?

A) Fail to reject the null. B) Reject the null. C) Fail to reject the alternative. D) none of these A) Fail to reject the null. B) Reject the null. C) Fail to reject the alternative. D) none of these

Exam 8: Tests for Significance: Z-Tests and One-Sample T-Tests

You want to compare a sample of n = 80 to a population where  = 6 and  = 4. If x̄ = 8, what is the value of the standardized effect size?

(Multiple Choice)

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Question 21

You draw a sample of n = 17 from a population where  = 4. If x̄ = 3 and s = 4, t = -.82.

(True/False)

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Question 22

Describe the different types of effect sizes and explain how to interpret them.

(Essay)

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Question 23

You test the hypothesis that employees at Branch A have significantly higher sales than the branch average for the overall company. You find that z = 3.36, p < .05. Which of the following is a valid statement about these findings?

(Multiple Choice)

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Question 24

You collect a sample of n = 16 and want to know if the sample is significantly smaller than the population. If  is unknown and  = .05, what is the appropriate critical value?

(Multiple Choice)

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Question 25

If you retain the null, what should you do next?

(Multiple Choice)

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Question 26

For a two-tailed z-test when n = 10 and  = .05, the correct critical value is 1.645.

(True/False)

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Question 27

You want to compare a sample of n = 25 to a population where  = 5 and  = 12. If x̄ = 15, what is the value of the test statistic?

(Multiple Choice)

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Question 28

If you find a significant different in a one-sample test, you should determine both a confidence interval and an effect size.

(True/False)

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Question 29

You draw a sample of n = 64 from a population where  = 36 and  = 4. If s = 5 and x̄ = 36, z = .06.

(True/False)

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Question 30

To compare a sample of n = 16 to a population where  = 10 and ² = 16, you will conduct a one-sample t-test.

(True/False)

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Question 31

When calculating an effect size, what is preferred?

(Multiple Choice)

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Question 32

Define "effect size" and explain when one should be calculated and why.

(Essay)

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Question 33

You want to demonstrate that a sample of n = 36 has a greater mean than a population where  = 4 and  = 8. If x̄ = 10, what is the critical value?

(Multiple Choice)

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Question 34

You want to demonstrate that a sample of n = 25 has a different mean than a population where  = 2 and  = 7. If x̄ = 8, what is the correct decision?

(Multiple Choice)

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Question 35

If you conduct a right-tailed one-sample t-test and find that t = -1.83 for a sample of n = 12, which of the following is the correct formal test of the hypothesis?

(Multiple Choice)

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Question 36

If you run a right-tailed z-test when n = 176 and find that z = 1.78, then p < .05.

(True/False)

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Question 37

If you conduct a z-test and find that z = 1.25 for a sample of n = 16, which of the following is the correct formal test of the hypothesis?

(Multiple Choice)

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Question 38

For a one-tailed t-test when n = 6 and  = .05, the correct critical value is 2.015.

(True/False)

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Question 39

If you want to test the hypothesis, "Do customers at our London branch purchase more than our company-wide averages?", assuming  = .05, what is the appropriate critical value?

(Multiple Choice)

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Question 40

Showing 21 - 40 of 56

You want to compare a sample of n = 80 to a population where  = 6 and  = 4. If x̄ = 8, what is the value of the standardized effect size?

You draw a sample of n = 17 from a population where  = 4. If x̄ = 3 and s = 4, t = -.82.

Describe the different types of effect sizes and explain how to interpret them.

You test the hypothesis that employees at Branch A have significantly higher sales than the branch average for the overall company. You find that z = 3.36, p < .05. Which of the following is a valid statement about these findings?

You collect a sample of n = 16 and want to know if the sample is significantly smaller than the population. If  is unknown and  = .05, what is the appropriate critical value?

If you retain the null, what should you do next?

For a two-tailed z-test when n = 10 and  = .05, the correct critical value is 1.645.

You want to compare a sample of n = 25 to a population where  = 5 and  = 12. If x̄ = 15, what is the value of the test statistic?

If you find a significant different in a one-sample test, you should determine both a confidence interval and an effect size.

You draw a sample of n = 64 from a population where  = 36 and  = 4. If s = 5 and x̄ = 36, z = .06.

To compare a sample of n = 16 to a population where  = 10 and ² = 16, you will conduct a one-sample t-test.

When calculating an effect size, what is preferred?

Define "effect size" and explain when one should be calculated and why.

You want to demonstrate that a sample of n = 36 has a greater mean than a population where  = 4 and  = 8. If x̄ = 10, what is the critical value?

You want to demonstrate that a sample of n = 25 has a different mean than a population where  = 2 and  = 7. If x̄ = 8, what is the correct decision?

If you conduct a right-tailed one-sample t-test and find that t = -1.83 for a sample of n = 12, which of the following is the correct formal test of the hypothesis?

If you run a right-tailed z-test when n = 176 and find that z = 1.78, then p < .05.

If you conduct a z-test and find that z = 1.25 for a sample of n = 16, which of the following is the correct formal test of the hypothesis?

For a one-tailed t-test when n = 6 and  = .05, the correct critical value is 2.015.

If you want to test the hypothesis, "Do customers at our London branch purchase more than our company-wide averages?", assuming  = .05, what is the appropriate critical value?

The Language of Statistics

Working With Numbers and Data Display

Central Tendency and Variability

Probability Distributions

Sampling Distributions

Estimation and Confidence Intervals

Hypothesis Testing

Tests for Significance: Paired and Independent-Samples T-Test

Analysis of Variance Anova

CHI-Squared Tests of Fit

Correlation R and Regression Y BX A

Matching Statistical Tests to Business Problems

Filters

Exam 8: Tests for Significance: Z-Tests and One-Sample T-Tests

You want to compare a sample of n = 80 to a population where  = 6 and  = 4. If x̄ = 8, what is the value of the standardized effect size?

You draw a sample of n = 17 from a population where  = 4. If x̄ = 3 and s = 4, t = -.82.

Describe the different types of effect sizes and explain how to interpret them.

You test the hypothesis that employees at Branch A have significantly higher sales than the branch average for the overall company. You find that z = 3.36, p < .05. Which of the following is a valid statement about these findings?

You collect a sample of n = 16 and want to know if the sample is significantly smaller than the population. If  is unknown and  = .05, what is the appropriate critical value?

If you retain the null, what should you do next?

For a two-tailed z-test when n = 10 and  = .05, the correct critical value is 1.645.

You want to compare a sample of n = 25 to a population where  = 5 and  = 12. If x̄ = 15, what is the value of the test statistic?

If you find a significant different in a one-sample test, you should determine both a confidence interval and an effect size.

You draw a sample of n = 64 from a population where  = 36 and  = 4. If s = 5 and x̄ = 36, z = .06.

To compare a sample of n = 16 to a population where  = 10 and 2 = 16, you will conduct a one-sample t-test.

When calculating an effect size, what is preferred?

Define "effect size" and explain when one should be calculated and why.

You want to demonstrate that a sample of n = 36 has a greater mean than a population where  = 4 and  = 8. If x̄ = 10, what is the critical value?

You want to demonstrate that a sample of n = 25 has a different mean than a population where  = 2 and  = 7. If x̄ = 8, what is the correct decision?

If you conduct a right-tailed one-sample t-test and find that t = -1.83 for a sample of n = 12, which of the following is the correct formal test of the hypothesis?

If you run a right-tailed z-test when n = 176 and find that z = 1.78, then p < .05.

If you conduct a z-test and find that z = 1.25 for a sample of n = 16, which of the following is the correct formal test of the hypothesis?

For a one-tailed t-test when n = 6 and  = .05, the correct critical value is 2.015.

If you want to test the hypothesis, "Do customers at our London branch purchase more than our company-wide averages?", assuming  = .05, what is the appropriate critical value?

The Language of Statistics

Working With Numbers and Data Display

Central Tendency and Variability

Probability Distributions

Sampling Distributions

Estimation and Confidence Intervals

Hypothesis Testing

Tests for Significance: Paired and Independent-Samples T-Test

Analysis of Variance Anova

CHI-Squared Tests of Fit

Correlation R and Regression Y BX A

Matching Statistical Tests to Business Problems

Filters

To compare a sample of n = 16 to a population where  = 10 and ² = 16, you will conduct a one-sample t-test.