A sampling distribution for a sample mean is made up of many ___ calculated from many _ from a population. The distribution is centered at the _ _. The standard deviation of all the Sample Means is called the _ ________.

Recollect central limit theorem that states that the mean of all sample means will follow a normal distribution irrespective of the original distribution of the sample provided the samples are drawn at random and for large sample sizes.

Using that we can say that

A sampling distribution for a sample mean is made up of many __sample means _______ ________calculated from many ____random samples____ ___________ from a population. The distribution is centered at the ______mean of sample mean_____ ___________. The standard deviation of all the Sample Means is called the ____Standard error.___________ __________________.

A sampling distribution for a sample mean is made up of many _________ ________calculated from many ________ ___________ from a population. The distribution is centered at the ___________ ___________. The standard deviation of all the Sample Means is called the _______________ __________________.

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A sampling distribution for a sample mean is made up of many ___ calculated from many _ from a population. The distribution is centered at the _ _. The standard deviation of all the Sample Means is called the _ ________.