x bar or p bar
Confidence Intervals
Hypothesis Tests
Type I and II Errors
Statistics Questions
100

Questions about probabilities or percentages require you to solve for p bar.  Questions about _____ require you to solve for x bar.

means

100

A confidence interval reflects uncertainty due to using a ________ instead of the whole population.

Sample

100

If the p value is LESS than alpha, you should REJECT the __________ hypothesis.

Null

100

A Type I error occurs when we _______ the null hypothesis even though it is actually true.

reject

100

The probability of all possible outcomes in a sample space must sum to ________.

1 or 100%

200

In 2024, the Amazon Alexa app was downloaded 2800 times per day from the Google Play Store. Assume that the number of downloads per day from Google Play are normally distributed with a mean of 2800 and a standard deviation of 860.

What is the probability there are between 1500 and 2500 downloads a day?

Given this information, would you use the t table or the z table to solve this question?

z table

200

As the confidence level increases, the confidence interval becomes _______.

wider

200

H0: μ < 20
Ha: μ > 20

Is this a lower-tail or upper-tail test?

upper

200

A Type II error occurs when we fail to reject the null hypothesis even though it is actually _______.

false

200

A correlation coefficient indicates both the ________ and the direction of a relationship between two variables.

strength

300

Sales at a clothing chain are currently running at an annual rate of $310 per square foot.  You have been asked by management to conduct a study of 27 locations.  Assume the standard deviation in annual sales per square foot for the population of all 575 store locations is $76.

What is the expected value of x bar?

$310

300

A narrower confidence interval means _______ precision.

more or greater

300

True or False: 

Changing the alpha level can change whether you reject the null hypothesis in favor of the alternative, even when the p-value stays the same.  

TRUE

300

A Type I error is also known as a false _____.

positive

300

A confidence interval provides a range of values that is likely to contain the true ________.

population parameter

400

In a sample of 30 respondents to a questionnaire about school quality, 72 percent said they were "very satisfied" with their schools.  

What is the standard error of this sample?

0.082 (hint: this is a p bar question, so use those equations)

400

A confidence interval is the sample mean plus and minus the __________.

margin of error

400

The null hypothesis represents the _____.

status quo/world as it is.

400

A Type II error is also known as a false _____.

negative

400

Expected value weights each possible outcome by its ________.

probability

500

Sales at a sunglasses chain are currently running at an annual rate of $222 per square foot.  Assume the standard deviation in annual sales per square foot for the population of all 7 store locations is $11.

At what amount per square foot would you consider a store to be especially low-performing (an outlier)?

$189 or less (hint: you have to use a stand-in for the z score, and then solve for x). 

500

You could get a smaller standard deviation (and therefore a narrower confidence interval) by increasing the __________.

sample size

500

The alternative hypothesis represents what the researcher is trying to _______.

support or test

500

A medical test is designed to detect a rare disease. The null hypothesis states that a patient does not have the disease. If the test incorrectly identifies a healthy patient as having the disease, this is a _______ error. If the test incorrectly indicates that a sick patient is healthy, this is a _______ error.

Type I; Type II

500

Statistics focuses on using information from a ________ to make conclusions about a larger ________.

sample; population

M
e
n
u