Explain the meaning of the phrase " the sampling distribution of the sample statistic A"
Explain the meaning of the phrase " the sampling distribution of the sample statistic A"
amanf
2021-02-25
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Nathalie Redfern
Answered 2021-02-26
Author has 99 answers
It is given that A is calculated using a specified formula of the sample measurements.
The meaning of the given phrase "the samping distribution of the sample statistic A" is the probability distribution of the random variable A.
The meaning of the given phrase "the samping distribution of the sample statistic A" is the probability distribution of the random variable A.
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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 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 2021-03-09
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 2022-04-09
A population of values has a normal distribution with μ=121.3 and σ=5.8. You intend to draw a random sample of size n=149.
Find the probability that a single randomly selected value is between 119.8 and 121.2.
P(119.8 < X < 121.2)
Find the probability that a sample of size n=149 is randomly selected with a mean between 119.8 and 121.2.
P(119.8 < M < 121.2)
Enter your answers as numbers accurate to 4 decimal places. Answers obtained using exact z-scores or z-scores rounded to 3 decimal places are accepted.
asked 2021-02-11
To explain: The ways in which relative frequencies can be used to help us in estimating probabilities occurring in sampling distributions.
asked 2021-06-13
Describe how to use random numbers to simulate the following PERFORMANCES:
(a) A basketball player has the ABILITY to make 40% of his shots and he takes 25 shots in a game.
(b) A basketball player has the ABILITY to make 75.2% of her free-throws and she takes 8 free throws in a game.
(a) A basketball player has the ABILITY to make 40% of his shots and he takes 25 shots in a game.
(b) A basketball player has the ABILITY to make 75.2% of her free-throws and she takes 8 free throws in a game.
