Use LEFT and RIGHT arrow keys to navigate between flashcards;
Use UP and DOWN arrow keys to flip the card;
H to show hint;
A reads text to speech;
10 Cards in this Set
- Front
- Back
|
Assumptions
|
-sample is randomly selected -sample size must be greater than or equal to 30 or the population must be normally or approximately normally distributed if the sample size is less than 30 |
|
|
Chi-Square Distribution
|
-all values are greater than or equal to 0 -family of curves based on the degrees of freedom -area under curve equals 1 -positively skewed |
|
|
Confidence Interval
|
-a specific interval estimate of a parameter determined by using data obtained from a sample and by using the specific confidence level of the estimate
|
|
|
Confidence Level
|
-the probability that the interval estimate will contain the parameter, assuming that a large number of samples are selected and that the estimation process on the same parameter is repeated
|
|
|
Consistent Estimator
|
-as the sample size increases, the estimate approaches the parameter
|
|
|
Degrees of Freedom
|
-number of values that are free to vary after a sample statistic has been computed, and they tell the researcher what specific curve to use |
|
|
Estimation
|
-the process of estimating the value of a parameter from information obtained from a sample |
|
|
Estimator
|
-sample measures used to estimate population measures |
|
|
Interval Estimate
|
-an interval or range of values used to estimate the parameter -estimate may or may not contain the value of the parameter being estimated |
|
|
Margin of Error
|
-maximum likely difference between the pointestimate of a parameter and the actual valueof the parameter
|
