It is used to help determine whether a population has a certain hypothesized distribution, expressed as percents of population members falling into various outcome categories.

Degrees of freedom for chi-squared goodness of fit.

A study that gathers data without trying to influence the responses.

When we reject the Null Hypothesis when in fact the Null Hypothesis is true.

A confidence interval or significance test is called _____ if the confidence level or P-vaule does not change very much when the assumptions of the procedure are violated.

Name the conditions of the chi-squared

(Row Total * Column Total)/Table Total

A phenomenon has outcomes that we cannot predict but that nonetheless have a regular distribution in very many repetitions.

When we accept the Null Hypothesis when in the Alternative Hypothesis is true.

The _____ of error shows how close the estimate tends to be to the unknown parameter in repeated random sampling.

It is a measure of how far the observed counts in a two-way table from the expected counts.

(r - 1) * (c - 1)

A third principle of statistical design of experiments that repeats each treatment on a large enough number of experimental units or subjects to allow the systematic effects of the treatments to be seen.

The probability of a type ___ error is equal to α, the significance level.

95% of all possible samples of a given size from this population will result in an interval that captures the unknown parameter.

This test is applied to a single categorical variable from two different populations.

b +- (t*)SE{b}

The line of y on x is the line that makes the sum of the squares of the vertical distances of the data point from the line as small as possible.

We call the probability of a type ___ error β.

The margin of error gets smaller when the sample size n increases and ...

This test is applied when you have two categorical variables from a single population.

y-hat +- (t*) SE{μ-hat}

An abbreviation of SRS

The probability of correctly rejecting a false hypothesis

One of the conditions for constructing a confidence interval is that the data come from a well-designed sample or randomized experiment.