Yulia
2021-02-25
Answered

Explain the importance of the statement "Sampling distributions play a key role in the process of statistical interference" stated by the researchers Turner and Dabney.

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Nathalie Redfern

Answered 2021-02-26
Author has **99** answers

Sampling distribution:

The probability distribution of the sample statistics when all the possible samples are drawn over the given population is termed as sampling distribution.

Justification: The sampling distribution can be defined as the probability distribution of the sample statistics that is sample mean or the sample variances that can be obtained from the samples of a given size from the population given. Therefore, it is clear that Sampling distributions play a key role in the process of statistical inference.

The probability distribution of the sample statistics when all the possible samples are drawn over the given population is termed as sampling distribution.

Justification: The sampling distribution can be defined as the probability distribution of the sample statistics that is sample mean or the sample variances that can be obtained from the samples of a given size from the population given. Therefore, it is clear that Sampling distributions play a key role in the process of statistical inference.

asked 2021-03-09

Which of the following is true about the sampling distribution of means?

A. Shape of the sampling distribution of means is always the same shape as the population distribution, no matter what the sample size is.

B. Sampling distributions of means are always nearly normal.

C. Sampling distributions of means get closer to normality as the sample size increases.

D. Sampling distribution of the mean is always right skewed since means cannot be smaller than 0.

A. Shape of the sampling distribution of means is always the same shape as the population distribution, no matter what the sample size is.

B. Sampling distributions of means are always nearly normal.

C. Sampling distributions of means get closer to normality as the sample size increases.

D. Sampling distribution of the mean is always right skewed since means cannot be smaller than 0.

asked 2021-02-12

Which of the following is true about sampling distributions?

-Shape of the sampling distribution is always the same shape as the population distribution, no matter what the sample size is.

-Sampling distributions are always nearly normal.

-Sampling distribution of the mean is always right skewed since means cannot be smaller than 0.

-Sampling distributions get closer to normality as the sample size increases.

-Shape of the sampling distribution is always the same shape as the population distribution, no matter what the sample size is.

-Sampling distributions are always nearly normal.

-Sampling distribution of the mean is always right skewed since means cannot be smaller than 0.

-Sampling distributions get closer to normality as the sample size increases.

asked 2021-03-04

Which of the following statements about the sampling distribution of the sample mean is incorrect?

(a) The standard deviation of the sampling distribution will decrease as the sample size increases.

(b) The standard deviation of the sampling distribution is a measure of the variability of the sample mean among repeated samples.

(c) The sample mean is an unbiased estimator of the population mean.

(d) The sampling distribution shows how the sample mean will vary in repeated samples.

(e) The sampling distribution shows how the sample was distributed around the sample mean.

(a) The standard deviation of the sampling distribution will decrease as the sample size increases.

(b) The standard deviation of the sampling distribution is a measure of the variability of the sample mean among repeated samples.

(c) The sample mean is an unbiased estimator of the population mean.

(d) The sampling distribution shows how the sample mean will vary in repeated samples.

(e) The sampling distribution shows how the sample was distributed around the sample mean.

asked 2020-12-07

Which of the following are possible examples of sampling distributions? (Select all that apply.)

mean trout lengths based on samples of size 5

average SAT score of a sample of high school students

average male height based on samples of size 30

heights of college students at a sampled universit

yall mean trout lengths in a sampled lake

mean trout lengths based on samples of size 5

average SAT score of a sample of high school students

average male height based on samples of size 30

heights of college students at a sampled universit

yall mean trout lengths in a sampled lake

asked 2022-04-22

An underground military installation is fortified to the extent that it can withstand up to three

direct hits from air-to-surface missiles and still function. Suppose an enemy aircraft is armed

with missiles, each having a 30 % chance of scoring a direct hit.

i. What is the probability that the installation will be destroyed with the seventh missile fired

is obtained by fewer than nine air strikes?

ii. Find the expected air-to-surface missiles strike.

asked 2021-03-01

Explain whether the central limit theorem can be applied and assert that the sampling distributions of A and Bare approximately normal, if the sample sizes of A and Bare large.

asked 2021-02-09

Obtain the sampling distribution of $\stackrel{\u2015}{p}$