Hypothesis Proportions – Statistic Quiz

Twitter - Quiz Tutors
Facebook - Quiz Tutors

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


Homepage