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