Exam 7: Statistics and Parameters

Any value which is based on having measured the entire population is called

The normal, expected difference between a statistic and a parameter is called

If every 10th student entering the college library on a Tuesday afternoon were selected for testing, the group thus selected would constitute

Bias is the difference between the sample measure and the population measure.

The Central Limit theorem states the exact probability value of estimating the true mean.

The z test may be used to determine

Statistic is to sample as parameter is to population.

With a known population mean of 100, and a known standard error of the mean of 7.5, what is the probability of selecting at random a sample whose mean is equal to 110 or greater?

Each and every time a sample is selected, sampling error must be assumed.

The standard deviation of the population of individual scores is 15. A random sample of 40 subjects yields a mean of 105. a. Calculate the standard error of the mean. b. Test the hypothesis, via the z test, that this sample could be representative of a population whose mean is known to be 100.

When sample means are consistently lower than the true, population mean, the result is called

When graphing the sampling distribution of means, the ordinate represents