Terms : Hide Images
| 9391585737 | parameter | a number that describes some characteristics of the population | 0 | |
| 9391585738 | statistic | a number that describes some characteristic of a sample | 1 | |
| 9391585739 | sampling variability | value of a statistic varies in repeated random sampling | 2 | |
| 9391585740 | sampling distribution | the distribution of values taken by the statistic in all possible samples of the same size from the same population | 3 | |
| 9391585741 | unbiased estimator | the mean of its sampling distribution is equal to the true value of the parameter being estimated | 4 | |
| 9391585742 | variability of a statistic | the spread of its sampling distribution. Larger samples have less variability. | 5 | |
| 9391585743 | sample proportion | X/n |  | 6 |
| 9391585744 | Mean of sampling distribution of p-hat | p |  | 7 |
| 9391585745 | the standard deviation of sampling distribution of p-hat | 10% Condition must be met |  | 8 |
| 9391585746 | the standard deviation of sampling distribution of x bar | 10% Condition must be met |  | 9 |
| 9391585758 | the mean of sampling distribution of x bar |  | 10 | |
| 9391585747 | the mean and standard deviation of sample mean and proportion | same no matter what shape the population distribution has | 11 | |
| 9391585748 | Central Limit Theorem (CLT) | In SRS of every size n from any population with mean and finite standard deviation, when n is large, the sampling distribution of the sample mean is approximately Normal | 12 | |
| 9391585749 | sampling distribution of a sample proportion and sample mean | shape, center, spread | 13 | |
| 9391585750 | population distribution | gives values of the variable for all the individuals in the population | 14 | |
| 9391585751 | distribution of sample data | gives the values of the variable for all the individuals in the sample | 15 | |
| 9391585759 | sample mean |  | 16 | |
| 9391585752 | normal approximation for sample proportion | pn>10 (1-p)n>10 Large Counts Condition must be satisfied | 17 | |
| 9391585760 | Large Counts Condition |  | 18 | |
| 9391585753 | 10% Condition | n must be greater than or equal to 1/10 of N | 19 | |
| 9391585754 | sampling distribution of p-hat | describes how the sample proportion varies in all possible samples from the proportion | 20 | |
| 9391585761 | normal approximation for p-hat | | 21 | |
| 9391585755 | sampling distribution of x bar | describes how the statistic x bar varies in all possible samples of the same size from the population | 22 | |
| 9391585756 | Normal condition for sample means | 1) population distribution is Normal 2) n is greater than or equal to 30 | 23 |
