Sampling & Sampling Distribution
Inferential statistics is when we use samples to represent
populations
We use estimation procedures to infer parameters from ________.
statistics
Significance refers to
difference between the sample and population values (mean, proportion)
The four types of sampling techniques are
simple random, systematic random, stratified random, cluster
These two sample statistics are unbiased estimators.
means and proportions
The null hypothesis is a statement of
no difference
The _________ links the sample to the population.
sampling distribution
The ______ the sample, the more efficient our estimate will be.
larger
The research hypothesis always ________ the null hypothesis.
contradicts
According to the theorems presented in the text, the mean of a sampling distribution of sample means will be the same as the ____________.
population mean
An alpha level of 0.05 is the same as a confidence level of
95%
We typically set our alpha at
.05
The EPSEM sampling rule ensures that our sample will be ________ of the population of interest.
representative
The alpha level indicates the probability that we are
wrong/incorrect
The z (critical) associated with an alpha of .05 for a two-tailed test is
± 1.96