Suppose that X~N(5000,400). You're considering taking a simple random sample and calculating the average of your...
Suppose that X~N(5000,400). You're considering taking a simple random sample and calculating the average of your sample. The Central Limit Theorem tells us that the distribution of all possible sample averages is Normally distributed with a mean of 5000.
If you took a sample of size n = 10000, what is the standard deviation of that sample?
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Suppose that X~N(5000,400). You're considering taking a simple
random sample and calculating the average of your...
A simple random sample of size n = 80 is obtained from a population with u...
A simple random sample of size n = 80 is obtained from a population with u = 55 and 6 = 3. Does the population need to be normally distributed for the sampling distribution of X to be approximately normally distributed? Why? What is the sampling distribution of ? Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? O A. No because the Central Limit Theorem states that regardless...
A simple random sample of size n 43 is obtained from a population that is skewed...
A simple random sample of size n 43 is obtained from a population that is skewed left with = 54 and 06. Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? What is the sampling distribution of Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? O A. No. The central limit theorem states that only if the...
The central limit theorem says that when a simple random sample of size n is drawn...
The central limit theorem says that when a simple random sample of size n is drawn from any population with mean μ and standard deviation σ, then when n is sufficiently large the distribution of the sample mean is approximately Normal. the standard deviation of the sample mean is σ2nσ2n. the distribution of the sample mean is exactly Normal. the distribution of the population is approximately Normal.
a simple random sample of size n=72 is obtained from a population with u=82 and o=3....
a
simple random sample of size n=72 is obtained from a population
with u=82 and o=3. does the population need to be normallt
distibuted for the sampling distribution of x to be approximately
normaly distibuted? why? what is the sampling distribution of
x?
A simple random sample of stren72 is obtained from a population with 12 and a = 3. Does the population need to be normally distributed for the sampling distribution of to be approximately omally distributed? Why? What...
A simple random sample of size n=74 is obtained from a population with 82 and 8-6...
A simple random sample of size n=74 is obtained from a population with 82 and 8-6 Does the population need to be normally distributed for the sampling distribution of to be approximately normally distributed? Why? What is the sampling distribution of i? Does the population need to be normally distributed for the sampling distribution of to be approximately normally dibuted? Why? O A. No because the Central Limit Theorem states that only if the shape of the underlying population is...
A simple random sample of size n=74 is obtained from a population with u=67 and 5...
A simple random sample of size n=74 is obtained from a population with u=67 and 5 = 6. Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? What is the sampling distribution of x? Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? A. Yes because the Central Limit Theorem states that the sampling variability of nonnormal populations...
A simple random sample of size nequals64 is obtained from a population with muequals43 and sigmaequals8....
A simple random sample of size nequals64 is obtained from a population with muequals43 and sigmaequals8. Does the population need to be normally distributed for the sampling distribution of x overbar to be approximately normally distributed? Why? What is the sampling distribution of x overbar? Does the population need to be normally distributed for the sampling distribution of x overbar to be approximately normally distributed? Why? A. Yes because the Central Limit Theorem states that only for underlying populations that...
suppose x is the mean of a random sample of size n=36 from the chi-squared distribution...
suppose x is the mean of a random sample of size n=36 from the chi-squared distribution with 18 degrees of freedom. use the central limit theorem to approximate the probability P(16 < x < 20) ?
Which choice best describes a simple random sample? O a selection of members of a population...
Which choice best describes a simple random sample? O a selection of members of a population chosen because of their convenient accessibility and proximity O when a population is first sorted into groups that share a similar characteristic and individuals are randomly chosen from each of the groups O a selection of members from a population in such a way that every possible sample of the same size has an equal chance of being chosen O when a population is...
The Central Limit Theorem tells us that the sampling distribution of the sample mean can be...
The Central Limit Theorem tells us that the sampling distribution of the sample mean can be approximated with a normal distribution for “large”n as n gets bigger, the sample data becomes more like the normal distribution if the data comes from an (approximately) normally distributed population, then the sample mean will also be (approximately) normally distributed the minimum variance unbiased estimator is the "best" estimator for a parameter
A simple random sample of size n = 80 is obtained from a population with u = 55 and 6 = 3. Does the population need to be normally distributed for the sampling distribution of X to be approximately normally distributed? Why? What is the sampling distribution of ? Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? O A. No because the Central Limit Theorem states that regardless...
A simple random sample of size n 43 is obtained from a population that is skewed left with = 54 and 06. Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? What is the sampling distribution of Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? O A. No. The central limit theorem states that only if the...
a
simple random sample of size n=72 is obtained from a population
with u=82 and o=3. does the population need to be normallt
distibuted for the sampling distribution of x to be approximately
normaly distibuted? why? what is the sampling distribution of
x?
A simple random sample of stren72 is obtained from a population with 12 and a = 3. Does the population need to be normally distributed for the sampling distribution of to be approximately omally distributed? Why? What...
A simple random sample of size n=74 is obtained from a population with 82 and 8-6 Does the population need to be normally distributed for the sampling distribution of to be approximately normally distributed? Why? What is the sampling distribution of i? Does the population need to be normally distributed for the sampling distribution of to be approximately normally dibuted? Why? O A. No because the Central Limit Theorem states that only if the shape of the underlying population is...
A simple random sample of size n=74 is obtained from a population with u=67 and 5 = 6. Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? What is the sampling distribution of x? Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? A. Yes because the Central Limit Theorem states that the sampling variability of nonnormal populations...
Which choice best describes a simple random sample? O a selection of members of a population chosen because of their convenient accessibility and proximity O when a population is first sorted into groups that share a similar characteristic and individuals are randomly chosen from each of the groups O a selection of members from a population in such a way that every possible sample of the same size has an equal chance of being chosen O when a population is...
The Central Limit Theorem tells us that the sampling distribution of the sample mean can be approximated with a normal distribution for “large”n as n gets bigger, the sample data becomes more like the normal distribution if the data comes from an (approximately) normally distributed population, then the sample mean will also be (approximately) normally distributed the minimum variance unbiased estimator is the "best" estimator for a parameter
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