Find the solution of the following

Explain how the chi-square independence test and the chi-square goodness of-fit test are similar. How are they different? Sample size Requires that each expected frequency is at least 5: Both Used to test if two variables are independent Chi-square Independence test Test if a frequency distribution fits an expected distribution;For each of the following examples, state whether the chi-square goodness-of-fit test or the chi-square test for independence is appropriate, and state the degrees of freedom (al) for the test. Part (a] A student tests whether the professor's speaking style (monotone. dynamic) and student interest (low, high) are independent. State whether the chi-square goodness-of-fi test or the chi-square test for independence is appropriate. chi-square goodness-of-fit O chi-square test for Independence State the degrees of freedom for the test Part (b) An Instructor tests whether class attendance (low, high) and grade point average (low, average, high) are independent. State whether the chi-square goodness-of-fit test or the chi-square test for independence is appropriate. O chi-square goodness-of-fit O chi-square test for independence State the degrees of froodom for the test. Part je]Define: proportional model, chi-square goodness of fit test, degrees of freedom, critical value, poisson distribution v . Describe what you can test with a X goodness of fit test Write a paired null and alternate hypothesis for a X goodness of fit test Describe what the chi-square test statistic measures V Describe how you use degrees of freedom in a chi-square test Differentiate between when it is appropriate to use a chi-square distribution, a binomial distribution, or a poisson distribution in a chi-square test v . Identify the assumptions of a chi-square test v Using excel be able to: . Calculate expected frequencies for a chi-square test under a null hypothesis using a proportional model and a poisson distribution Calculate a chi-square test statistic Determine a P-value from a chi-square test statistic