A researcher claims that the ages of people who go to the movies at least once a year are distributed Frequency, f - as shown in the accompanying gure. You randomly select 1000 people who went to the movies at 144 least once in 2020 and record the age of each. The table shows the results. At a = 0.025, test the 112 researcher's claim. Complete parts (a) through (e). 135 228 119 262 Click here t9 ViW the gure showing the distribution of age_s_., click here to view the table of values for the chi-square distribution ' {E :The distribution of ages of all people is l% 211, 11% 1217, 11% 1824, 25% 2539, 13% 4049, and 25% 50 and older. at The distribution of ages of all people gift-Es from the researcher's claim. : The distribution of ages of all people differs from the researcher's claim. : The distribution of ages of all people is 15% 211, 11% 1217, 11% 1824, 25% 2539, 13% 4049, and 25% 50 and older. . : The distribution of ages of moviegoers is 15% 211, 11% 12-17. 11% 18-24, 25% 2539. '13% 4049, and 25% 50 and older. : The distribution of ages of moviegoers differs from the researcher's claim. :The distribution of ages of moviegoers differs from the researcher's ctaim. :The distribution of ages of moviegoers is 15% 211, 11% 1217. 11% 1824, 25% 2539, 13% 4049, and 25% 50 and older. l 2 ll (b) Determine the critical value, X0, and the rejection region. 2 X0 = D (Round to two decimal places as needed.)