AP Statistics

Front

Which of the following best describes a Type I error?

Back

The null is true, but we mistakenly reject it.

Front

To test a claim about a mean, when the population standard deviation is unknown we use:

Back

t procedures

Tags

CCSS.HSS.ID.A.4

Front

The null hypothesis is represented by:

Back

Ho

Front

The null hypothesis always contains a(an):

Back

=

Front

When p-value is greater than alpha, we:

Back

Fail to reject Ho

Front

Margin of error equals:

Back

Critical Value ∗ standard Error

Tags

CCSS.HSS.IC.B.4

Front

What is the Power of a test?

Back

The probability that we correctly reject a false null.

Front

Which of the following best describes a type II error?

Back

The null is false, but we fail to reject it.

Front

What does it mean when a test is statistically significant? Options: it has reached alpha level status, the test statistic had a P-value higher than the alpha level, the test statistic had a P-value lower than the alpha level, it is important in practical terms

Back

the test statistic had a P-value lower than the alpha level

Tags

CCSS.6.SP.A.2

Front

How can you reduce both Type I and Type II errors?

Back

Increase the sample size