# Question

1. Small p-values of the chi-squared test of independence indicate that the data have small amounts of dependence.

2. Small values of x2 imply that the null hypothesis in a chi-squared test is true.

3. The chi-squared test of independence requires at least 5 to 10 observations in each cell of the contingency table.

4. The chi-squared test of goodness of ft finds the expected cell counts based on the distribution of a random variable.

5. Similar proportions within each column of a mosaic plot suggest a small p-value in the chi-squared test of independence.

2. Small values of x2 imply that the null hypothesis in a chi-squared test is true.

3. The chi-squared test of independence requires at least 5 to 10 observations in each cell of the contingency table.

4. The chi-squared test of goodness of ft finds the expected cell counts based on the distribution of a random variable.

5. Similar proportions within each column of a mosaic plot suggest a small p-value in the chi-squared test of independence.

## Answer to relevant Questions

(a) Does this stacked bar chart suggest that the chi-squared test of independence will be statistically significant? Explain why or why not. (b) What are the degrees of freedom in the chi-squared test of independence for ...These data count the types of meals ordered by customers at two restaurants in a national chain. Consider using these data to test the null hypothesis that store and choice are independent (H0). Find the (a) Degrees of ...We routinely use the normal quantile plot to check for normality. One can also use a chi-squared test. For that, we have to group the data into bins, converting numerical data into categorical data. The following figure ...In what special case does the regression of Y on X match the regression of X on Y, so that if two fitted lines were drawn on the same plot, the lines would coincide? This data table contains the listed prices (in thousands of dollars) and the number of square feet for 28 homes listed by a realtor in the Seattle area. (a) Create a scatterplot for the price of the home on the number of ...Post your question

0