Terms : Hide Images
| 8697246237 | parameter (think "parameter" begins with a p) | a number that describes some characteristic of the population (typically mu or p) | 0 | |
| 8697246238 | statistic (think "samle" begins with a s) | a number that describes some characteristic of a sample (typically x bar or p hat) | 1 | |
| 8697246239 | sampling distribution of a statistic | the distribution of values taken by the statistic in all possible samples of the same size from the same population | 2 | |
| 8697246240 | biased | not estimating the true center well | 3 | |
| 8697246241 | unbiased | the mean of its sampling distribution is equal to the true value of the parameter being estimated | 4 | |
| 8697246242 | the smaller the variability | the larger the sample ... | 5 | |
| 8697246243 | variability of a statistic | is described by the spread of its sampling distribution | 6 | |
| 8697246244 | p-hat | a sample proportion (formula: x/n) | 7 | |
| 8697246245 | the formula for the mean of the sampling distribution of p-hat |  | 8 | |
| 8697246246 | the formula for the standard deviation of the sampling distribution of p-hat |  | 9 | |
| 8697246247 | the formula for the standard deviation of the sampling distribution of x-bar |  | 10 | |
| 8697246248 | the formula for the mean of the sampling distribution of x-bar | µ "sub" x = µ | 11 | |
| 8697246249 | Central Limit Theorem (CLT) | Draw an SRS of size n from any population with mean (µ) and finite standard deviation (σ). This says that when n is large (n ≥ 30) the sampling distribution of the sample means (x-bar) is approximately Normal. | 12 |
