Exam 1: Preliminaries: Introduction to Statistical Investigations

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The plots below were created using a data set containing information about movies re-leased in 1995 and 2005. Note: M = million. -Which year had a higher mean movie revenue?

(Multiple Choice)

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Question 41

The following plots display data exam scores for two different statistics classes. -Which class had a larger standard deviation of exam scores?

(Multiple Choice)

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Question 42

Which of the following variables are likely to be symmetric? Select all that apply.

(Multiple Choice)

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Question 43

A student participates in a Coke versus Pepsi taste test. She correctly identifies the correct soda 4 times out of 6 tries. She claims that this proves that she can reliably tell the difference between the two soft drinks. You have studied statistics and you want to determine the probability of anyone getting at least 4 right out of 6 tries just by chance alone. Which of the following would provide an accurate estimate of that probability?

(Multiple Choice)

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Question 44

The following plots display data exam scores for two different statistics classes. -Does there appear to be any outliers in the two classes?

(Multiple Choice)

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Question 45

The plots below were created using a data set containing information about movies re-leased in 1995 and 2005. Note: M = million. -Which year had larger variability in movie budgets?

(Multiple Choice)

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Question 46

Showing 41 - 46 of 46

The plots below were created using a data set containing information about movies re-leased in 1995 and 2005. Note: M = million. -Which year had a higher mean movie revenue?

The following plots display data exam scores for two different statistics classes. -Which class had a larger standard deviation of exam scores?

Which of the following variables are likely to be symmetric? Select all that apply.

The following plots display data exam scores for two different statistics classes. -Does there appear to be any outliers in the two classes?

The plots below were created using a data set containing information about movies re-leased in 1995 and 2005. Note: M = million. -Which year had larger variability in movie budgets?

Significance: How Strong Is the Evidence

Generalization: How Broadly Do the Results Apply

Estimation: How Large Is the Effect

Causation: Can We Say What Caused the Effect

Comparing Two Proportions

Comparing Two Means

Paired Data: One Quantitative Variable

Comparing More Than Two Proportions

Comparing More Than Two Means

Two Quantitative Variables

Modeling Randomness

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