Question 7

4pts

When looking at poll results in the newspaper, one outcome is fairly close to the other.What statistical strategy would help determine if these values are essentially equal?

Group of answer choices

Use a confidence interval of pass polls on this same issue

Use a confidence interval for each result to see if they overlap

Hypothesis testing with a null hypothesis that one poll result is less than the other

Regression with poll results as an independent variable

Regression with poll results as the dependent variable

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Question 8

4pts

Which statistical process would be most helpful in determining critical variables in a student's success in statistic class?

Group of answer choices

Hypothesis testing with a null hypothesis that student success is less than or equal to the current average in the course

Hypothesis testing with a null hypothesis that student success is more than the current average

Regression with success in statistics class as an independent variable

Regression with success in statistics class as the dependent variable

Use a confidence interval with the success in statistics class as the mean

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Question 9

4pts

A real estate company is asking the likelihood that a house in a specific neighborhood will sell within 14 days on the market.Which statistical process would be helpful in making a more informed estimate?

Group of answer choices

Determine the cumulative probability through 14 days of other houses sold in that neighborhood

Determine the cumulative probability through 15 days of other houses sold in that neighborhood

A regression with days until being sold as an independent variable

Determine the relative probability through 14 days of other houses sold in the city with that neighborhood

Determine the relative probability through 14 days of other houses sold in that neighborhood

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Question 10

4pts

A probability distribution would be most appropriate for a company to show:

Group of answer choices

The average number of products that are defective in each batch

The revenues produced each week

The number of products that are defective in each batch

The length of time employees worked each day

The average number of employees out on vacation each day