Perform a chi-square independence test using the critical value approach, provided the conditions for using the test aremet. Be sure to state the hypotheses and the significance level, to obtain the expected frequencies, to obtain the criticalvalue, to compute the value of the test statistic, and to state your conclusion.
-Research is conducted regarding the average age at retirement for four career groups. To test whether there is a relationship between age of retirement and career in these groups, 700 employees, recently retired, are randomly selected. The resulting data are displayed in the contingency table below. At the 5% significance level, do the data provide sufficient evidence to conclude that an association exists between age of retirement and career?

Question

Perform a chi-square independence test using the critical value approach, provided the conditions for using the test aremet. Be sure to state the hypotheses and the significance level, to obtain the expected frequencies, to obtain the criticalvalue, to compute the value of the test statistic, and to state your conclusion.
-Research is conducted regarding the average age at retirement for four career groups. To test whether there is a relationship between age of retirement and career in these groups, 700 employees, recently retired, are randomly selected. The resulting data are displayed in the contingency table below.  At the 5% significance level, do the data provide sufficient evidence to conclude that an association exists between age of retirement and career?

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The Answer of Perform a chi-square independence test using the critical value approach, provided the conditions for using the test aremet. Be sure to state the hypotheses and the significance level, to obtain the expected frequencies, to obtain the criticalvalue, to compute the value of the test statistic, and to state your conclusion.
-Research is conducted regarding the average age at retirement for four career groups. To test whether there is a relationship between age of retirement and career in these groups, 700 employees, recently retired, are randomly selected. The resulting data are displayed in the contingency table below.  At the 5% significance level, do the data provide sufficient evidence to conclude that an association exists between age of retirement and career?

Perform a Chi-Square Independence Test Using the Critical Value Approach