# What kind of test should I run for this question and how do I run the test? During the first 13 weeks of the television season, the Saturday evening 8:00 P.M. to 9:00 P.M. audience proportions were recorded as ABC 29%, CBS 26%, NBC 22%, and independents 23%. A sample of 300 homes two weeks after a Saturday night schedule revision yielded the following viewing audience data: ABC 91 homes, CBS 64 homes, NBC 81 homes, and independents 64 homes. Test with  = .05 to determine whether the viewing audience proportions changed. Use Table 12.4.

Question
Asked Dec 12, 2019
1 views

What kind of test should I run for this question and how do I run the test?

During the first 13 weeks of the television season, the Saturday evening 8:00 P.M. to 9:00 P.M. audience proportions were recorded as ABC 29%, CBS 26%, NBC 22%, and independents 23%. A sample of 300 homes two weeks after a Saturday night schedule revision yielded the following viewing audience data: ABC 91 homes, CBS 64 homes, NBC 81 homes, and independents 64 homes. Test with  = .05 to determine whether the viewing audience proportions changed. Use Table 12.4.

check_circle

Step 1

We will use chi-square goodness of fit statistic to test the hypothesis

Given data and calculation for expected value is shown below

Step 2

Formulation of Hypothesis

Null Hypothesis H0: - Viewing audience proportion remains same

Alternative Hypothesis H1: - Viewing audience proportion changed.

Test statistic is given by

The formula for the chi-square is given below

Step 3

Degree of freedom ...

### Want to see the full answer?

See Solution

#### Want to see this answer and more?

Solutions are written by subject experts who are available 24/7. Questions are typically answered within 1 hour.*

See Solution
*Response times may vary by subject and question.
Tagged in