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SOC 390 - Exam 2 Study Guide 100%
Verified.
Inferential statistics - Answer✔statistical techniques used when purpose of research is to make
inferences and conclusions from a smaller set of data to a larger population
What affects the accuracy of an estimate? - Answer✔- method of sample selection
- size of sample
- the variability of scores in the population
Sampling distribution - Answer✔a frequency distribution of values of a statistic (e.g. means)
resulting form ALL possible samples of size N from the population
Central Limit Theorem (CLT) (characteristic of the sampling distribution of means) - Answer✔If
you have a population of scores that is normally distributed with population mean and
population standard deviation, then for any sample size N, the sampling distribution of means
for samples drawn from this population with replacement can be described as follows
- only way to do this is with nondirectional
sampling distribution of the mean - Answer✔- The mean of the sampling distribution of means
is the "mean of means"
the standard error of the mean - Answer✔the standdard deviation of the sampling distribution
of means
How do you form a sampling distribution of means? - Answer✔- we plot the mean from each
sample in one distribution
- we form a distribution made up of MEANS from lots and lots of individual samples of size N
- the sampling distribution of the mean is a relative frequency (probability) distribution
null hypothesis - Answer✔- represents current thinking and will be believed to be true unless
we demonstrate that it is implausible
- a statement of equality
1
SOC 390 - Exam 2 Study Guide 100%
Verified.
Inferential statistics - Answer✔statistical techniques used when purpose of research is to make
inferences and conclusions from a smaller set of data to a larger population
What affects the accuracy of an estimate? - Answer✔- method of sample selection
- size of sample
- the variability of scores in the population
Sampling distribution - Answer✔a frequency distribution of values of a statistic (e.g. means)
resulting form ALL possible samples of size N from the population
Central Limit Theorem (CLT) (characteristic of the sampling distribution of means) - Answer✔If
you have a population of scores that is normally distributed with population mean and
population standard deviation, then for any sample size N, the sampling distribution of means
for samples drawn from this population with replacement can be described as follows
- only way to do this is with nondirectional
sampling distribution of the mean - Answer✔- The mean of the sampling distribution of means
is the "mean of means"
the standard error of the mean - Answer✔the standdard deviation of the sampling distribution
of means
How do you form a sampling distribution of means? - Answer✔- we plot the mean from each
sample in one distribution
- we form a distribution made up of MEANS from lots and lots of individual samples of size N
- the sampling distribution of the mean is a relative frequency (probability) distribution
null hypothesis - Answer✔- represents current thinking and will be believed to be true unless
we demonstrate that it is implausible
- a statement of equality
1
