click below
click below
Normal Size Small Size show me how
stats week 2
| Question | Answer |
|---|---|
| shape | numbers of peaks, symmetry |
| density curve | curve showing the distribution of data, its overall pattern |
| center | mean, mode, median |
| spread | range, standard deviation, quartiles (IQR), outliers |
| probability | total area under distribution curve, is 1 |
| 68 96 99.7 rule | 68% of values are in 1 standard devs of the mean, 95% are in 2 standard devs of the mean, and 99.7% are in 3 standard devs of the mean |
| standardized value (z score) | standardizing data, converting values into a standardized form. used to calculate probabilities |
| backwards normal problems | given probability to find zscore |
| sampling distribution | mean of a mean. mean of several sample sizes. always averages to normal even if something is originally skewed |
| way to reduce bias | use random sampling. |
| reduce variability | use larger sample |
| central limit theorem | measuring multiple sample sizes will closely reflect the average and samples of more variables (i.e. sample of 100 vs sample of 5) will be closest to the average and the standard dev will shrink. |