Terms : Hide Images
| 5958618130 | point estimator | a statistic that provides an estimate of a population parameter | 0 | |
| 5958624345 | point estimate | the value of a statistic from a sample | 1 | |
| 5958633287 | C% confidence interval | gives an interval of plausible values for a parameter point estimate +/- margin of error | 2 | |
| 5958642361 | margin of error | shows how close we believe our guess is, based on the variability of the estimate in repeated SRSs of the same size critical value x standard deviation of statistic | 3 | |
| 5958664356 | confidence level C | In C% of all possible samples, the method would yield an interval that captures the true parameter value. | 4 | |
| 5958677238 | interpretation of confidence interval | We are C% confidence that the interval from ___ to ___ captures the true population [parameter in context]. | 5 | |
| 5958694769 | conditions for estimating population parameters | SRS, Independent, Normal | 6 | |
| 5958701088 | standard error | when the standard deviation of the statistic is estimated from data | 7 | |
| 5958707491 | The four step process | State, Plan, Do, Conclude | 8 | |
| 5958712689 | degrees of freedom | for a t-distribution, this is required in order to find the critical value n-1 | 9 | |
| 5958718854 | z* | critical value for proportions | 10 | |
| 5958723460 | t* | critical value for means, population standard deviation unknown | 11 | |
| 5958746415 | Normal condition for means | CLT, n>= 30 if n<30, then no skewness or outliers if graphed | 12 | |
| 5958753902 | Normal condition for proportions | np>10, n(1-p)>10 | 13 | |
| 5958758725 | Independent condition | sample size is less than 10% of the population | 14 | |
| 5958761673 | random condition (SRS) | the sample must come from a well-designed random sample or randomized experiment | 15 |
