In: Math
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 27%, NBC 24%, and independents 20%. A sample of 300 homes two weeks after a Saturday night schedule revision yielded the following viewing audience data: ABC 92 homes, CBS 64 homes, NBC 86 homes, and independents 58 homes. Test with alpha=.05 to determine whether the viewing audience proportions changed. Round your answers to two decimal places.
what is the Test Statistic?
null hypothesis: Ho:Distribution of viewing audience proportions is same as stated,
Alternate hypothesis: Ha:Distribution of viewing audience proportions has changed from as stated
degree of freedom =categories-1= | 3 |
for 0.05 level and 3 degree of freedom :rejection region = | 7.815 |
applying chi square goodness of fit test: |
relative | observed | Expected | residual | Chi square | |
category | frequency | Oi | Ei=total*p | R2i=(Oi-Ei)/√Ei | R2i=(Oi-Ei)2/Ei |
ABC | 0.290 | 92 | 87.00 | 0.54 | 0.287 |
CBS | 0.270 | 64 | 81.00 | -1.89 | 3.568 |
NBC | 0.240 | 86 | 72.00 | 1.65 | 2.722 |
independent | 0.200 | 58 | 60.00 | -0.26 | 0.067 |
total | 1.000 | 300 | 300 | 6.644 |
Test Statistic X2=6.64
as test statistic is not in rejection region we can not conclude at 0.05 level that Distribution of viewing audience proportions has changed from as stated