A television network is deciding whether or not to give its newest television show a spot during prime viewing time at night. If this is to happen, it will have to move one of its most viewed shows to another slot. The network conducts a survey asking its viewers which show they would rather watch. The network receives 827 responses, of which 438 indicate that they would like to see the new show in the lineup. The test statistic for this hypothesis would be:

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Answer:

Test statistic  z= 1.708

Step-by-step explanation:

given that a  television network is deciding whether or not to give its newest television show a spot during prime viewing time at night. If this is to happen, it will have to move one of its most viewed shows to another slot.

Sample size n = 827

Sample proportion p = [tex]\frac{438}{827} \\=0.5297[/tex]

[tex]H_0: p =0.5\\H_a: p >0.5[/tex]

(right tailed test)

This is because they would be interested if more than half viewers are ready for the change

Test statistic = Z = p difference/std error

p difference = 0.0297

Std error =[tex]\sqrt{\frac{pq}{n} } \\=\sqrt{\frac{0.5*0.5}{827} } \\=0.0174[/tex]

Z =1.708

p valu e= 0.9562

Since p >0.05 we fail to reject H0

Test statistic  z= 1.708

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