Sampling Distributions and the Central Limit Theorem

1. Is the theoretical distributions of sample probabilistic that would be obtained from a large number of random samples of equal size from a population?

• Means

• Standar error

• Sampling distributions

• The central limit theorem

2. It is the standard deviation symbol

• σ

• X

• N

1. The standard deviation of the sampling distribution is called __________

• Means

• Standard error

• The central limit theorem

• Population

1. Is the formula of standard error ?

• True

• False

The standard error can include the variation higher that the calculated mean of the population

• True

• False

If the sum of identically distributed independent random variables has a finite variance, then it will (approximately) be normally distributed

• a) Sampling distributions

• b) Means

• c) Standar error

• d) The central limit theorem

• True

• False

The more data points involved in the calculations of the mean, the smaller the standard error tends to be.

• True

• False

The normal distribution has the same mean as the original distribution and a variance that is equal to the original variance divided by n.

• True

• False

When the standard error is small, the data is said to be more representative of the true mean. In cases where the standard error is large, the data may have some notable irregularities.

• True

• False