True or False: Sampling deviation refers to the fact that different random samples of the same size from the same population produce different values for a statistic.

When we simulate a sampling distribution using assumed values for the parameters, like in the chips example, the resulting distribution is sometimes called a _____________ distribution .

Students will often refer to the “sample” distribution when they mean “sampling” distribution. Remind them that a “sample” distribution represents ___ sample, whereas a “sampling” distribution represents many, many samples. In the text, we avoid the term sample distribution, opting instead for distribution of sample data.

True or False: A statistic used to estimate a parameter is an unbiased estimator if the mean of its sampling distribution is equal to the value of the parameter being estimated.

Select the requirements for an ideal estimator:

_______________ means that the statistic has low or no bias.

____________ means that the statistic has low variability.