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3.) (a) In a large population of college-educated adults, IQ’s have mean 118 and

ID: 3154770 • Letter: 3

Question

3.)

(a) In a large population of college-educated adults, IQ’s have mean 118 and

standard deviation 20. Suppose 100 adults from this population are randomly

selected for a market research campaign. Do you know anything about the

sampling distribution of the sample mean IQ’s coming from repeatedly taking

samples of size 100 from the population of college-educated adults?

(b) The distribution of actual weights of 8 oz. wedges of cheddar cheese

produced by a certain company are Normal with mean 8.1 ounces and standard

deviation of 0.1 ounces. A simple random sample of four of these cheese wedges

is selected, and the sample mean weight of these cheese wedges is to be

computed. Do you know anything about the sampling distribution of the sample

mean weights coming from repeatedly taking samples of size 4 from the

population of weights?

(c) A manufacturing process produces bags of cookies. The distribution of

weights of these bags should have a mean of = 16.0 oz. and a standard deviation

of = 0.4 oz. To monitor the process, forty bags are selected periodically and

their average weight is determined. Do you know anything about the sampling

distribution of the sample means coming from repeatedly taking samples of size

40 from the population of weights from these bags of cookies?

(d) The gasoline prices of a gallon of regular gasoline on a day last week in

Michigan had a mean of $2.00 and a standard deviation of $0.10. A simple

random sample of twenty-five gasoline stations is selected, and the sample mean

price of the gasoline prices from those stations computed. Do you know anything

about the sampling distribution of the sample means coming from repeatedly

taking samples of size 25 from the population of gasoline prices?

Select one of the situations from #3 above in which Central Limit Theorem does

apply. (3 pts)

Draw a picture to represent the distribution of the sample means (should

match the information you gave in #3 above), correctly marking the horizontal

axis with X scores corresponding to three standard deviations below the mean

of the means to three standard deviations above the mean of the means.

B) What X score is 2.5 standard deviations above the mean of the means?

C) Find the probability that an X score is greater than 2.5 standard deviations

above the mean of the means. In other words, find the probability that an

X score is greater than the value you found in part B). Show this probability

graphically.

Explanation / Answer

(a) In a large population of college-educated adults, IQ’s have mean 118 and

standard deviation 20. Suppose 100 adults from this population are randomly

selected for a market research campaign. Do you know anything about the

sampling distribution of the sample mean IQ’s coming from repeatedly taking

samples of size 100 from the population of college-educated adults?

Yes , I know that means sample is 118 and SD of sample is 20/srqt100 = 2

(b) The distribution of actual weights of 8 oz. wedges of cheddar cheese

produced by a certain company are Normal with mean 8.1 ounces and standard

deviation of 0.1 ounces. A simple random sample of four of these cheese wedges

is selected, and the sample mean weight of these cheese wedges is to be

computed. Do you know anything about the sampling distribution of the sample

mean weights coming from repeatedly taking samples of size 4 from the

population of weights?

mean sample is 8.1 and sd sample is 0.1 / srqt4 =0.05

(c) A manufacturing process produces bags of cookies. The distribution of

weights of these bags should have a mean of = 16.0 oz. and a standard deviation

of = 0.4 oz. To monitor the process, forty bags are selected periodically and

their average weight is determined. Do you know anything about the sampling

distribution of the sample means coming from repeatedly taking samples of size

40 from the population of weights from these bags of cookies?

mean sample is 16 and sd sample is 0.4 / srqt 40 = 0.0632

(d) The gasoline prices of a gallon of regular gasoline on a day last week in

Michigan had a mean of $2.00 and a standard deviation of $0.10. A simple

random sample of twenty-five gasoline stations is selected, and the sample mean

price of the gasoline prices from those stations computed. Do you know anything

about the sampling distribution of the sample means coming from repeatedly

taking samples of size 25 from the population of gasoline prices?

mean sample is $2

sd sample is 0.10 / srqt25 = 0.02

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