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35 Cards in this Set

  • Front
  • Back
all measurements or observations of interest
population
part of a population
sample
numerical descriptive measurement of a population
population parameter
numerical descriptive measurement of a sample
statistic
probability distribution for the statistic and the sample being used
sampling distribution
standard deviation of a statistic
standard error
an estimate of a population parameter given by a single number
point estimate
magnitude of the difference btwn. point estimate and true parameter value
error of an estimate
measurement used to determne the reliability of an estimate
confidence level
the values on a curve where the area btwn. the interval is equal to the deseired confidence level
critical values
a variable used instead of Z when the sample size is small
Students T-variable
the value which influences the t-variable by sample size
degrees of freedom
samples taken from two populations so that the way it is taken from on epopulation is unrelated to the selection of the samples from the other
independent samples
samples taken from two populations so that the way it is taken from one population can be naturally paired with a measurement from the other sample
dependent samples
an assumption about one or more population parameters of a probability distribution
statistical hypothesis
the procedure whereby the decision is made to reject or not reject a hypothesis
hypothesis testing
hypothesis which is designed for the purpose of seeing whether or not it can be rejected
null hypothesis
hypothesis constructed in such a way that it is one to be accepted when the null hypothesis must be rejected
alternate hypothesis
error of rejecting the null hyp when it is in fact true
Type I error
error of accepting the null hypothesis when it is in fact false
type II error
probability with which it is "allowable" to risk a type I error
level of significance
probability of rejecting Ho when it is in fact true
power of a test
problems where variables are studied simultaniously to see how they are interrelated
correlation problems
problems where the value of interest is predicted by going back ot the values of other related variables
regression problems
values representing two variables which are corresponding
paired data values
independed value
explanitory value
dependent value
response variable
predicting response values for explanitory values that are btwn. the explanitory range of the data
interpolation
predicting response values for explanitory values that are out of the range of the data
extrapolation
method for measuring the spread of the set of pts. about the least square line that is similar to standard deviation
standard error of an estimate
unitless measurement to describe the strength of the linear association that exists btwn. two variables regardless of which is listed first
Pearson product
how well a random sample of data pairs indicates a high correlation to the population data
significance of r
a measurement of how well the least squares line is as an istrument of regression
coefficient of determination
the actual obsereved data of any sample
observed frequency
probability of the data assuming independence
expected frequency