# Hypothesis Proportions – Statistic Quiz

### Hypothesis Proportions – Statistic Quiz

The key terms in these Statistics chapters include Chi-Square Test, Population, Distribution, Goodness of Fit & The Null Hypothesis, Proportions.

What values are specified by the null hypothesis for the chi-square test for goodness of fit?

Proportions for the entire population

What conclusion is appropriate if a chi-square test produces a chi-square statistic near zero?

There a good fit between the sample data and the null hypothesis

The chi-square test for goodness of fit evaluates

the shape or proportions for a population distribution

The term observed frequency refers to

the frequencies found in the sample data

What is indicated by a large value for the chi-square statistic?

The sample data (observed values) do not match the null hypothesis

Under what circumstances will the chi-square test for goodness of fit produces a large value for chi-square?

When the sample proportions are much different than the hypothesized population proportions

What happens to the critical value for a chi-square test if the size of the sample is increased?

The critical value depends on the number of categories, not the sample size

What happens to the shape of the chi-square distribution as the df value increases?

The mode (highest point) of the distribution moves to the right

What conclusion is appropriate if a chi-square test produces a chi-square statistic near zero?

There a good fit between the sample data and the null hypothesis

The chi-square test for goodness of fit evaluates

the shape or proportions for a population distribution

A large value for the chi-square statistic indicates

the sample data (observed values) do not fit the null hypothesis

The term expected frequencies refers to

the frequencies computed from the null hypothesis

How do you compute df for the chi-square test for goodness of fit?

##### Goodness of fit

What values are specified by the null hypothesis for the chi-square test for goodness of fit?

Proportions for the entire population

What happens to the critical value for a chi-square test if the size of the sample is increased?

The critical value depends on the number of categories, not the sample size

What happens to the shape of the chi-square distribution as the df value increases?

The mode (highest point) of the distribution moves to the right

What conclusion is appropriate if a chi-square test produces a chi-square statistic near zero?

There a good fit between the sample data and the null hypothesis

The chi-square test for goodness of fit evaluates

the shape or proportions for a population distribution

The term observed frequency refers to

the frequencies found in the sample data

What is indicated by a large value for the chi-square statistic?

The sample data (observed values) do not match the null hypothesis

Under what circumstances will the chi-square test for goodness of fit produces a large value for chi-square?

When the sample proportions are much different than the hypothesized population proportions

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