Mathematics

Mathematics, 01.08.2019 02:50, hernandez09297

Question 13 of 231.0 points the theorem that states that the sampling distribution of the sample mean is approximately normal when the sample size n is reasonably large is known as the: a. central limit theorem b. point estimate theorem c. central tendency theorem d. simple random sample theorem

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Mathematics, 05.07.2019 20:20, mez64

The central limit theorem is important in statistics because select one: a. for a large n, it says the sampling distribution of the sample mean is approximately normal, regardless of the shape of the population. b. for a large n, it says the population is approximately normal. c. for any sized sample, it says the sampling distribution of the sample mean is approximately normal d. for any population, it says the sampling distribution of the sample mean is approximately normal, regardless of the sample size.

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Mathematics, 16.07.2019 04:10, sunny644

Which of the following statements is not true? a) the standard deviation of the sampling distribution of sample mean = σ/√n b) the larger the sample size, the better will be the normal approximation to the sampling distribution of sample mean. c) the mean of the sampling distribution of sample mean is always the same as that of x, the distribution from which the sample is taken. d) the sampling distribution of the sample mean is always reasonably like the distribution of x, the distribution from which the sample is taken. e) the sampling distribution of sample mean is approximately normal, mound-shaped, and symmetric for n > 30 or n = 30.

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Mathematics, 02.08.2019 05:50, LexyClaire

Assume that fancy shoe warehouse has 500 pairs of women's shoes in stock. the distribution of the women's shoe sizes is approximately normal. the average size of the women's shoes is size 8, with a standard deviation of size 4. suppose that a random sample of 250 pairs of shoes are selected. what can be assumed about the distribution of the sample mean? the distribution of the sample mean is skewed by the mean distribution theorem. the distribution of the sample mean is approximately normal by the mean distribution theorem. there is not enough information to make assumptions regarding the distribution of the sample mean. the distribution of the sample mean is approximately normal by the central limit theorem. the distribution of the sample mean is non-normal by the central limit theorem.

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Mathematics, 25.10.2019 00:43, adi593

Suppose a random sample of nequals431 measurements is selected from a binomial population with probability of success p. for each of the given values of p, give the mean and standard deviation of the sampling distribution of the sample proportion, modifyingabove p with caret. complete parts a through c below. a. give the mean and standard deviation of the sampling distribution of the sample proportion, p. the mean of the sampling distribution of p is the standard deviation of the sampling distribution of p is (round to four decimal places as needed.) b. describe the shape of the sampling distribution of p. 0 a the shape of the sampling distribution of p is approximately normal because the sample size is small. the shape of the sampling distribution of p is approximately normal because the sample size is large the shape of the sampling distribution of p is approximately uniform because the sample size is smal ○ c. o d. the shape of the sampling distribution of p is approximately uniform because the sample size is large. c. calculate the standard normal z-score corresponding to a value of p=0.41. the standard normal z-score corresponding to a value of p: 041 is . round to two decimal places as needed.)

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Question 13 of 231.0 points the theorem that states that the sampling distribution of the sample mea...

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