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Yes, and more so for larger samples. (It follows from the Central Limit Theorem.)

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Q: Will the sampling distribution of the mean always be approximatelly normally distributed?
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Related questions

Is a normally distributed variable needed to have a normally distributed sampling distribution.?

Yes, it is.


What will the sampling distribution of the mean be if a population is normally distribution?

Also normally distributed.


Concept of Probability sampling and chi square test?

A probability sampling method is any method of sampling that utilizes some form of random selection. See: http://www.socialresearchmethods.net/kb/sampprob.php The simple random sample is an assumption when the chi-square distribution is used as the sampling distribution of the calculated variance (s^2). The second assumption is that the particular variable is normally distributed. It may not be in the sample, but it is assumed that the variable is normally distributed in the population. For a very good discussion of the chi-square test, see: http://en.wikipedia.org/wiki/Pearson%27s_chi-square_test


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The mean of the sampling distribution is the population mean.


True or False A sampling distribution is a probability distribution for a statistic?

The statement is true that a sampling distribution is a probability distribution for a statistic.


What distribution is a sampling distribution referring to?

A sampling distribution refers to the distribution from which data relating to a population follows. Information about the sampling distribution plus other information about the population can be inferred by appropriate analysis of samples taken from a distribution.


What is a sampling distribution?

The sampling distribution for a statistic is the distribution of the statistic across all possible samples of that specific size which can be drawn from the population.


What is the difference between a population distribution and sampling distribution?

Population distribution refers to the patterns that a population creates as they spread within an area. A sampling distribution is a representative, random sample of that population.


When the population standard deviation is known the sampling distribution is a?

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What does the central limit theorem say about the shape of the sampling distribution of?

The Central Limit THeorem say that the sampling distribution of .. is ... It would help if you read your question before posting it.


When the population standard deviation is known the sampling distribution is known as what?

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Why sampling needed?

Sampling is needed in order to determine the properties of a distribution or a population. Sampling allows the scientist to determine the variance in an estimate.