Terms : Hide Images
| 5794204569 | parameter | Numerical description of a population characteristic | 0 | |
| 5794205760 | statistic | Numerical description of a sample characteristic | 1 | |
| 5794207478 | sampling variability | the value of a statistic varies in repeated random sampling | 2 | |
| 5794208034 | sampling distribution | the distribution of values taken by the statistic in all possible samples of the same size from the same population | 3 | |
| 5794208781 | unbiased estimator | The mean of its sampling distribution is equal to the true value of the parameter being estimated | 4 | |
| 5794218020 | variability of a statistic | Described by the spread of its sampling distribution . This spread is determined by the sampling design and the size of the sample. Larger samples give smaller spread | 5 | |
| 5794223929 | accurate | unbiased | 6 | |
| 5794223930 | precise | low variability | 7 | |
| 5794225456 | high bias, low variability | consistently miss the center in the same direction and data points are clustered tightly together off centered | 8 | |
| 5794227931 | high bias, high variability | consistently miss the center in the same direction, data points are widely scattered off center | 9 | |
| 5794230690 | low bias, low variability | consistently at or around the center and data points are clustered tightly together | 10 | |
| 5794233403 | low bias, high variability | consistently at or around the center and data points are widely scattered around the center | 11 | |
| 5794239801 | p-hat | sample proportion | 12 | |
| 5794251333 | p | population proportion | 13 | |
| 5794252437 | mean of sampling distribution of p-hat | equal to the population proportion p | 14 | |
| 5794254060 | standard deviation of sampling distribution of p-hat | square root of (p(1-p)) divided by n | 15 | |
| 5794256672 | 10% condition | n ≤ (1/10)N, sample is smaller than 10% of population | 16 | |
| 5794260661 | Large Counts Condition | np>=10 and n (1-p)>=10 | 17 | |
| 5831340485 | x-bar | sample mean | 18 | |
| 5831342336 | mu | population mean | 19 | |
| 5831345265 | mean of sampling distribution of x-bar | equal to the population mean, mu | 20 | |
| 5831346284 | standard deviation of sampling distribution of x-bar | sigma divided by the square root of n | 21 | |
| 5831347370 | Central Limit Theorem | if the population distribution is not Normal then THIS states x-bar will be an approximately Normal distribution if the sample size n is greater than or equal to 30. | 22 |
