Question

In: Statistics and Probability

Last rating period, the percentages of viewers watching several channels between 11 p.m. and 11:30 p.m....


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
16% 19% 24% 16% 25%


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
335 495 444 378 348


(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.)

χ2χ2          

(Click to select)Do not rejectReject H0. Conclude viewing shares of the current rating period (Click to select)differdo not differ from those of the last.

Solutions

Expert Solution

a)

each expected value ≥ 5

b)

Chi square test for Goodness of fit  
  
expected frequncy,E = expected proportions*total frequency  
total frequency=   2000

category observed frequencey, O expected proportion expected frequency,E (O-E)²/E
WDUX 335 0.1600 320 0.703
WWTY 495 0.1900 380 34.803
WACO 444 0.2400 480 2.700
WTJM 378 0.1600 320 10.513
others 348 0.2500 500 46.208

chi square test statistic,X² = Σ(O-E)²/E =   94.926
level of significance, α=   0.1              
Degree of freedom=k-1=   5   -   1   =   4
                  
P value =   0.0000   [ excel function: =chisq.dist.rt(test-stat,df) ]          
Decision: P value < α, Reject Ho                  

conclusion: Reject H0. Conclude viewing shares of the current rating period


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