### 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**