test 3
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19 terms
Terms | Definitions |
|---|---|
 t test | testing procedure where the population variance is unknown. |
| single sample | testing procedure where a sample mean is being compared to a known population mean and population variance is unknown |
| biased estimate | estimate of population parameter that is likely to overestimate or underestimate the true value of the population parameter. |
| unbiased estimate of the population variance | estimate of the population variance, based on sample scores, which have been corrected so that it is equally likely to over or under estimate the true population variance. |
| degrees of freedom | number of scores free to vary when estimating a population parameter |
| t table | table of cutoff scores on the t distribution for various degrees of freedom, significance levels, and one and two-tailed tests. |
| t distribution | curve that is the comparison distribution used in a t test |
| t score | on a t distribution, number of standard deviations from the mean |
| repeated - measures design | each person is tested more than once |
| dependent means | testing procedure which their is two scores for each person and the population variance is not known |
| difference scores | difference between a person's score on one testing and the same person's score on another testing |
| robustness | extent to which a particular hypothesis - testing procedure is reasonably accurate |
| independent mean | testing procedure where there are two separate groups of people tested and in which the population variance is not known. |
| distribution of differences between means | distribution of differences between means of pairs of means. |
| pooled estimate of the population variance | in a t test for independent means, weighted average of the estimates of the population variance from two samples. |
| weighted average | average in which the scores being averaged do not have equal influence on the total. |
| variance of the distribution | one of the numbers figured as part of a t test for independent means |
| standard deviation of the distribution | in a t test for independent means, square root of the variance of the distribution of differences between means. |
| harmonic mean | special average influenced disproportionately by smaller numbers. |
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