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A Movie Critic Wanted to Determine Whether or Not Moviegoers

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A movie critic wanted to determine whether or not moviegoers of different age groups evaluated a movie differently. With this objective, he commissioned a survey that asked people their ratings of the most recently watched movies. The rating categories were: 1 = terrible, 2 = fair, 3 = good, and 4 = excellent. Each respondent was also asked to categorize his or her age as either: 1 = teenager, 2 = young adult (20-34), 3 = middle age (35-50), and 4 = senior (over 50). The results are shown below. A movie critic wanted to determine whether or not moviegoers of different age groups evaluated a movie differently. With this objective, he commissioned a survey that asked people their ratings of the most recently watched movies. The rating categories were: 1 = terrible, 2 = fair, 3 = good, and 4 = excellent. Each respondent was also asked to categorize his or her age as either: 1 = teenager, 2 = young adult (20-34), 3 = middle age (35-50), and 4 = senior (over 50). The results are shown below.   Do these data provide sufficient evidence to infer at the 5% significance level that there were differences in ratings among the different age categories? Test statistic: H = ______________ What is the critical value for the test statistic? Reject   if the test statistic > ______________. Conclude: ______________ There ______________ sufficient evidence to infer at the 5% significance level that there were differences in ratings among the different age categories. What statement can be made about the p-value for this test? ______________ Do these data provide sufficient evidence to infer at the 5% significance level that there were differences in ratings among the different age categories?
Test statistic:
H = ______________
What is the critical value for the test statistic?
Reject A movie critic wanted to determine whether or not moviegoers of different age groups evaluated a movie differently. With this objective, he commissioned a survey that asked people their ratings of the most recently watched movies. The rating categories were: 1 = terrible, 2 = fair, 3 = good, and 4 = excellent. Each respondent was also asked to categorize his or her age as either: 1 = teenager, 2 = young adult (20-34), 3 = middle age (35-50), and 4 = senior (over 50). The results are shown below.   Do these data provide sufficient evidence to infer at the 5% significance level that there were differences in ratings among the different age categories? Test statistic: H = ______________ What is the critical value for the test statistic? Reject   if the test statistic > ______________. Conclude: ______________ There ______________ sufficient evidence to infer at the 5% significance level that there were differences in ratings among the different age categories. What statement can be made about the p-value for this test? ______________ if the test statistic > ______________.
Conclude: ______________
There ______________ sufficient evidence to infer at the 5% significance level that there were differences in ratings among the different age categories.
What statement can be made about the p-value for this test?
______________


Definitions:

Social Class

Categorization of individuals or groups based on economic, cultural, or social status affecting their opportunities and lifestyle.

Occupation

A person's regular employment or profession which occupies their time and may define a part of their social identity.

Marital Status

A legally defined status that indicates whether an individual is unmarried, married, divorced, widowed, or separated.

Education

The systematic process of facilitating learning, or the acquisition of knowledge, skills, values, beliefs, and habits.

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