Determining the sampling distribution

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Based on the included information, how would I arrive at the last question?

(a) A random sample of size 144 is taken from the local population of grade-school children. Each child estimates the number of hours per week spent watching TV. At this point, what can be said about the sampling distribution?

  • Based on this we could produce a normal curve sampling, which should allow for enough information to make assumptions on the entire population of the grade school children.

(b) Assume that a standard deviation, of 8 hours describes the TV estimates for the local population of schoolchildren. At this point, what can be said about the sampling distribution?

  • This means that the largest number of reported data will fall within 8 data points of mean, whether above or below.

(c) Assume that a mean, of 21 hours describes the TV estimates for the local population of schoolchildren. Now what can be said about the sampling distribution?

  • That means that most of the sampled data reports are either going to fall within the lower 13 hours or the higher amount of 29 hours.

(d) Roughly speaking, the sample means in the sampling distribution should deviate, on average, about ___ hours from the mean of the sampling distribution and from the mean of the population.

Reference no: EM131932240

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