5. A random sample of 120 people is drawn from a population and asked how much time each week they spend watching television. The population has a mean of 187 minutes with a standard deviation of 32 minutes.
(a) Find the mean and standard error of the sampling distribution of ¯x.
(b) What is the probability that this sample will have a mean that is at least 192 minutes?
(c) What proportion of all samples of size 120 will have a mean that is at least 192 minutes? (d) What is the 90’th percentile
a) Since the sample size is large, by Central Limit Theorem the sampling distribution of mean approaches normal distribution (as n increases)
so mean= 187 and
SD=32/10.95445
{square root of 120 is 10.95445}
b) The probability that the sample mean is at least 192 minutes is given by P[X>=192]
=0.04348216
c) Proportion of samples of size 120 that will have a mean that is at least 192 minutes is 120*0.04348216 = 5.217859
ie, 5 percent
d) 90 th percentile is 201.0387
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