what is the rule of thumb for normalizing the sampling distribution of means?
what is the rule of thumb for normalizing the sampling distribution of means?
Homework Answers
ANSWER:
The distribution of sample means will be approximately normal as long as the sample size is large enough.
The general rule of thumb is that samples of size 30 or greater will have a fairly normal distribution regardless of the shape of the distribution of the variable in the population.
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what is the rule of thumb for normalizing the sampling
distribution of means?
we were told that the distribution is normal. if the shape of the distribution was not...
we were told that the distribution is normal. if the shape of the distribution was not stated, we would not have been able to use the normal distribution table to find the probability. what does the central limit theorem tell us to do to be able to normalize distribution? what is the rule of thumb for normalizing the sampling distribution of means?
Which of the following is true about the sampling distribution of means? Shape of the sampling...
Which of the following is true about the sampling distribution of means? Shape of the sampling distribution of means is always the same shape as the population distribution, no matter what the sample size is. Sampling distribution of the mean is always right skewed since means cannot be smaller than 0. Sampling distributions of means are always nearly normal. Sampling distributions of means get closer to normality as the sample size increases.
sampling distribution of means
How is a sampling distribution of means different from a distribution of raw scores?
2. In your own words, what is the difference between a Sampling Distribution of Means and...
2. In your own words, what is the difference between a Sampling Distribution of Means and a Sampling Distribution of the Difference between two means?
If the distribution of the population is bimodal, then the sampling distribution for the sample means...
If the distribution of the population is bimodal, then the sampling distribution for the sample means for this population with sample size 50 will be unimodal. True False
[retro] What does the sampling distribution of the sample means allow us to do?
[retro] What does the sampling distribution of the sample means allow us to do?
Sampling Distributions Given a sampling distribution of means, how are the mean and standard deviation determined...
Sampling Distributions Given a sampling distribution of means, how are the mean and standard deviation determined (calculated)? If an original sampling is not normal, how many must we sample to say it is approximately normal? Given a sampling distribution of proportions, how are the mean and standard deviation determined (calculated)?
When we sketch a sampling distribution of means, we often assume it will be normal in...
When we sketch a sampling distribution of means, we often assume it will be normal in its shape, especially with a large enough sample size used for sampling means, even if the population distribution of scores we drew samples from is not normal in its shape. What allows us to make this assumption?
The sampling distribution of means is: A list of all members of the population you are...
The sampling distribution of means is: A list of all members of the population you are studying. Also called the standard error of the mean. A set of numbers representing all of the possible sample means on a variable you could draw from a given population and a given sample size. A list of all members of the sample that you draw. 1 points Question 2 The standard deviation of the sampling distribution of means is called the: Margin of...
The purpose of the questions is to hammer home that the distribution of sampling means for...
The purpose of the questions is to hammer home that the distribution of sampling means for a large number of samples always makes a normal curve. 2) The second question concerns the following pair of sample mean distributions: Which distribution came from samples with a larger sample size, the one on the left or the one on the right a) b) Why is the sampling distribution on the right a narrower distribution?
2. In your own words, what is the difference between a Sampling Distribution of Means and a Sampling Distribution of the Difference between two means?
The purpose of the questions is to hammer home that the distribution of sampling means for a large number of samples always makes a normal curve. 2) The second question concerns the following pair of sample mean distributions: Which distribution came from samples with a larger sample size, the one on the left or the one on the right a) b) Why is the sampling distribution on the right a narrower distribution?
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