Question

According to Nielsen Media Research, the average number of hours of TV viewing by adults (18 and over) per week in the United States is 36.07 hours. Suppose the standard deviation is 9.5 hours and a random sample of 46 adults is taken.

Appendix A Statistical Tables

a. What is the probability that the sample average is more than 35 hours?
b. What is the probability that the sample average is less than 36.6 hours?
c. What is the probability that the sample average is less than 29 hours? If the sample average actually is less than 40 hours, what would it mean in terms of the Nielsen Media Research figures?
d. Suppose the population standard deviation is unknown. If 66% of all sample means are greater than 48 hours and the population mean is still 36.07 hours, what is the value of the population standard deviation?

Answer 1

We have the population mean, ? = 36.07

Population SD, ? = 9.5

Sample size, n = 46

This is done using the standard normal distribution

Z- Score, Z = (X-?)/?

Where X is the sample mean

a) X>35

Z = (35-36.07)/9.5 = -0.112

P(Z>-0.112) = 1-P(Z<-0.112) = 1-0.4562= 0.5438

b) X<36.6

Z = (36.6-36.07)/9.5 = 0.0557 = 0.056

P(Z<0.056) = 0.5458

c) X<29

Z = (29-36.07)/9.5 = -0.74

P(Z<-0.74) = 0.2296

Z<40

Z = (40-36.07)/9.5 =0.413

P(Z<0.413) = 0.6612

It means that 66.12% of the adults who watch the TV program are below 40

d) P(Z>Z1) = 0.66

P(Z<Z1) = 0.34

Z1 = (X-36.07)/?

We have Z1=0.415

X=48

(48-36.07)/? = 0.415

(48-36.07)/0.415 = ?

? = 28.74

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