AP Statistics: Chapter 9 Review

The goal of a significance test is to assess the evidence provided by data about some ___ concerning a ___.

\ne is used for a One-tailed hypothesis test

The Null hypothesis is always assumed True

Type II error

A Type II error is to reject ___ when ___ is true

___ p-values give evidence against H₀

A type I error is ___ worse!

Type 1 error

Significant means...

The most commonly used α level is

The confidence level + α =

What is the p-value for the Minitab output table?

The confidence level and the p-value ___ lead you to the same decision

The ___ hypothesis set the direction that counts as evidence ___ H₀

p-values range from ___ to ___

The Null hypothesis is often the statement of change

Which is NOT a condition for Inference?

t-score is the test statistic for a z test

The probability of a Type II error is 1 - β

The claim we weigh evidence against is the ___ hypothesis

When no alpha level is given, we always assume the level is .01

Confidence intervals provide more information that sig. tests b/c they give a yes/no decision

The smaller α is the less power of the test.

How can we increase the power of the test?

Type I error is the reject ___ when ___ is true

The 2 conclusions of a significane test are accept or reject the H₀

Small p-value = result is within chance or normal sampling error

Which of the following test statistic is used for a z test?

If we increase α, we decrease βmaking a Type 1 error more likely.

If the sample size is less than ___ we must assess for normality such as no strong skewness or no outliers.

Statistical Power is 1 - β

Confidence intervals and significance tests are based on the sampling distributions of statistics.