Exam 9: Sampling Distributions

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In general, the binomial probability P(X \le x) is approximated by the area under the normal curve to the left of x + .5.

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Because the value of the ____________________ varies randomly from sample to sample, we can regard it as a new random variable created by sampling.

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Two random samples of sizes 30 and 36 are selected independently from two populations with means 80 and 88, and standard deviations 15 and 20, respectively. a. Find the standard error of the difference betweenand. b. Find the probability that the mean of the first sample is smaller than the mean of the second sample.

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Retirees A sample of 50 retirees is drawn at random from a normal population whose mean age and standard deviation are 75 and 6 years, respectively. -(Retirees Narrative} Find the mean and standard error of the sampling distribution of the sample mean.

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The owner of a meat market has an assistant who has determined that the weights of roasts are normally distributed, with a mean of 3.2 pounds and standard deviation of 0.8 pounds.If a sample of 25 roasts yields a mean of 3.6 pounds, what is the Z-score for this sample mean?

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Suppose that 100 items are drawn from a population of manufactured products and the weight, X, of each item is recorded.Prior experience has shown that the weight has a non-normal probability distribution with μ\mu = 8 ounces and σ\sigma = 3 ounces.Which of the following is true about the sampling of  Suppose that 100 items are drawn from a population of manufactured products and the weight, X, of each item is recorded.Prior experience has shown that the weight has a non-normal probability distribution with  \mu  = 8 ounces and \sigma  = 3 ounces.Which of the following is true about the sampling of   ? ?

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Mean Salary In order to estimate the mean salary for a population of 500 employees, the president of a certain company selected at random a sample of 40 employees. -{Mean Salary Narrative} If the population standard deviation is $800, compute the standard error both with and without using the finite population correction factor.

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Temporary Worker Productivity A temporary worker productivity is normally distributed.One worker produces an average of 84 units per day with a standard deviation of 24.Another worker produces at an average rate of 74 per day with a standard deviation of 25. -{Temporary Worker Productivity Narrative} What is the probability that in any single day worker 1 will outproduce worker 2?

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The expected value of The expected value of   is ____________________. is ____________________.

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Retirees A sample of 50 retirees is drawn at random from a normal population whose mean age and standard deviation are 75 and 6 years, respectively. -{Retirees Narrative} What is the probability that the mean age is at most 73 years?

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A sample of size n is selected at random from an infinite population.As n increases, the standard error of the sample mean increases.

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As n gets larger, the sampling distribution of As n gets larger, the sampling distribution of   becomes increasingly bell shaped.This phenomenon is due to the ____________________. becomes increasingly bell shaped.This phenomenon is due to the ____________________.

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Suppose it is known that 60% of radio listeners at a particular college are smokers.A sample of 500 students from the college is selected at random.Approximate the probability that at least 280 of these students are radio listeners.

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The standard error of the mean:

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A randomly selected value of A randomly selected value of   is likely to be ____________________ to(than) the mean of the population than is a randomly selected value of X. is likely to be ____________________ to(than) the mean of the population than is a randomly selected value of X.

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Which of the following is true about the sampling distribution of the sample mean?

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The expected value of the sampling distribution of  The expected value of the sampling distribution of   is   where \mu <sub>i</sub> is the mean of population i (i = 1, 2). is  The expected value of the sampling distribution of   is   where \mu <sub>i</sub> is the mean of population i (i = 1, 2). where μ\mu i is the mean of population i (i = 1, 2).

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The standard error of the difference between sample means, The standard error of the difference between sample means,   , is calculated by the formula   where   is the variance of population i (i = 1, 2). , is calculated by the formula The standard error of the difference between sample means,   , is calculated by the formula   where   is the variance of population i (i = 1, 2). where The standard error of the difference between sample means,   , is calculated by the formula   where   is the variance of population i (i = 1, 2). is the variance of population i (i = 1, 2).

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If the sample size increases, the standard error of the mean also increases.

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The standard error of the mean for a sample of 100 is 25.In order to cut the standard error of the mean in half (to 12.5) we must:

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