Last rating period, the percentages of viewers watching several channels between 11 P.M. and 11:30 P.M. in a major TV market were as follows: |
WDUX (News) |
WWTY (News) |
WACO (Cheers Reruns) |
WTJW (News) |
Others |
17% | 23% | 27% | 20% | 13% |
Suppose that in the current rating period, a survey of 2,000 viewers gives the following frequencies: |
WDUX (News) |
WWTY (News) |
WACO (Cheers Reruns) |
WTJW (News) |
Others |
304 | 479 | 554 | 329 | 334 |
(a) | Show that it is appropriate to carry out a chi-square test using these data. |
Each expected value is ≥ |
(b) |
Test to determine whether the viewing shares in the current rating period differ from those in the last rating period at the .10 level of significance. (Round your answer to 3 decimal places.) |
χ2 |
I know the expected value is 5.
Can you please help me with the x2 answer?
(a) Each expected value is ≥ 5
(b)
Oi | pi | Ei=N*pi | |
304 | 0.17 | 340 | 3.811765 |
479 | 0.23 | 460 | 0.784783 |
554 | 0.27 | 540 | 0.362963 |
329 | 0.2 | 400 | 12.6025 |
334 | 0.13 | 260 | 21.06154 |
Chi square test statistic formula
k=Number of categories
Degree of freedom =k-1= 5-1 = 4
..........................by using chi square critical value table or Excel command =CHIINV(0.1,4)
38.624 > 7.779
Therefore, we reject H0 at
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