front 1 P HAT | back 1 p |
front 2 X BAR | back 2 Mean symbol |
front 3 s | back 3 standard deviation symbol |
front 4 sampling districution | back 4 the distribution of values for a statistic for all possible samples of a given size from a given population. |
front 5 A good statistic has: | back 5 1. Low bias 2. Low variability |
front 6 Biased | back 6 Consistently overestimates or consistently underestimates the true population parameter. (often skewed) |
front 7 Unbiased | back 7 Mean of the sampling distribution is equal to the population parameter. |
front 8 Parameter | back 8 a number that describes some characteristic of the population. |
front 9 Statistic | back 9 a number that describes some characteristic of the sample. |
front 10 X BAR (the sample mean) ESTIMATES ----> | back 10 Mean symbol (the population mean) |
front 11 P HAT (the sample proportion) ESTIMATES -----> | back 11 p (the population proportion) |
front 12 s (the sample SD) ESTIMATES -----> | back 12 SD symbol (the population SD) |
front 13 sampling variability | back 13 different random samples of the same size from the same population produce different values for a statistic |
front 14 sampling distribution | back 14 Distribution of values taken by the statistic in all possible samples (ideal pattern) |
front 15 variability of a statistic | back 15 described by the spread. |