Behavioral Stats Chapter 7

The sample variances an unbiased estimator of the population variance when

dividing SS by df and when dividing SS by n -1

What is typically conducted using a sample strategy in which the same participant can never be selected twice in the same sample

experimental research

What is most often applied by researchers and behavioral sciences

experimental sampling

regardless of the shape of the distribution population, what approximates a positively skewed distribution

sampling distribution of sample variances

10 to the sixth power equals

1 million

True or False: A sampling distribution is NOT a distribution of scores in a population

True

True or False: A sampling distribution is a distribution of a sample means or sample variances that can be obtained in samples of given size from the same population

True

True or False: Researchers typically DO NOT sample with replacement while the development of statistical theory was based on use of sampling with replacement

True

True or False: The standard error of the mean is the standard deviation in the sampling distribution of sample means

True

True or False: a sample mean is not always equal to the population mean

True

True or False: a z- transformation can be computed to located sample means the sampling distribution

True

True or False: the sample mean is an unbiased estimator and follows the central limit theorem and has minimum variance

True

True or False: the sample variance is an unbiased estimator of the population variance when dividing SS by df

True

A Sampling distribution of sample mean or variance is

a distribution of all sample means or sample variances that could be obtained in samples of given size from the same population

What is a distribution of all sample means for sample variances that could be obtained in samples of a given size from the same population

a sampling distribution

a sampling distribution of all the sample means or variances isa distribution of

all the sample means or sample variances that could be obtained in samples of a given size from the same population

What explains the sampling distribution of possible sample means is approximately normally distributed regardless of the shape of the distribution in the population

central limit theorem

what is the one disadvantage of dividing SS by df to obtain an estimate of the population variance

is that it does not have minimum variance

The shape of the sampling distribution of the mean is approximately

normal

the means of the sampling distribution sample means is equal to the

population mean

the shape of the sampling distribution of variances is approximately

positively skewed

the total number of samples possible can be calculated by taking the size of the population raised to the degree of the

sample size

The values along the x-axis for sampling distribution of sample variances are

sample variances

if sample size increases, what decreases

standard error of the mean

What was developed using a sampling strategy which the order of selecting participants matter, the same participant could be selected twice in the same sample, and the participants are replaced after being sampled.

statistical theory

Experimental research is typically conducted using a sampling strategy in which

the same participant can never be selected twice in the same sample

What is another way of saying that if we select a sample at random, then on average we can expect the sample of mean to equal the population mean

unbiased estimator

If a researcher randomly selects a sample of participants and reports of their average score is a certain number, it means that we can expect the population mean to equal that same number because the sample mean is an

unbiased estimator of the population mean

whenever sampling distributions of the mean or variance are calculated using n -1, they both are

unbiased estimators