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Statistics - Exam 3

Normal distribution with a mean equal to 0 and a standard deviation equal to 1 standard normal distribution
Value that serves as a best guess at the value of the population parameter point estimator
Range of values used to estimate a population parameter with a specific degree of confidence confidence interval
Probability that the interval actually does contain the population parameter degree of confidence
value measuring some characteristic of a population parameter
complete collection of people, objects, scores, etc. to studied population
any sub collection of data drawn from a population sample
Characteristics of the standard normal distribution: 1) central mean, median and mode 2) symmetric 3) curve never touches x axis 4) areas under curve represent probabilities
Concepts of the Central Limit Theorem: 1) If random variable x is normally distributed, then the sample mean will be as well for ANY sample size 2) If random variable x is NOT normally distributed then sample mean WILL BE normally distributed if the sample size is large enough (n>30)
Why use n-1 degrees of freedom? accounts for error found in small samples
As sample size increases results __________. narrow
As confidence interval increases results ___________. widen
Why are interval estimators better than point estimators? because interval estimators provide an upper and lower boundary increasing the likelihood that the parameter will fall within those bounds
variance of a sample symbol
standard deviation of a sample symbol s
variance of a population symbol σ²
standard deviation of a population symbol σ
mean of a sample symbol x with a line above it
mean of a population symbol µ
proportion of a population symbol P
proportion of a sample symbol p with a hat
Created by: K1N1V