AP Statistics Unit 1
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| 30842222 | variable | holds information about the same characteristic for many subjects | |
| 30842223 | categorical variable | where the data collected places the individuals in various categories or groups | |
| 30842224 | quantitative variable | where the data collected is numerical and it makes sense to use it for numerical operations | |
| 30842225 | frequency table | lists the categories for a categorical variable and displays the counts for each category | |
| 30842226 | relative frequency table | lists the categories for a categorical variable and displays the percenatges for each category | |
| 30842227 | distribution | describes how a quantitative variable behaves. Generally include shape, center, spread, & unusual features. | |
| 30842228 | bar chart | a display for categorical data that uses bar height to represent counts or percentages for each category | |
| 30842229 | Simpson's Paradox | When averages are taken across different groups, they can appear to contradict the overall averages | |
| 30842230 | histogram | a display for quantitative data that uses adjacent bars to represent counts or percentages of values falling in each interval | |
| 30842231 | stem & leaf or stemplot | a display for quantitative data that uses place values to reprensent the distributions | |
| 30842232 | dotplot | a display for either kind of data that uses a dot to represent each individual in the data set | |
| 30842233 | measures of center | mean for distributions that are symmetric, median for all other distribution shapes | |
| 30842234 | measures of spread | standard deviation for distributions that are symmetric, IQR for all other distribution shapes | |
| 30842235 | uniform distribution | a distribution whose shape is evenly distributed throughout the values it takes | |
| 30842236 | symmetric distribution | a distribution whose shape is unimodal and each side is roughly a mirror image of the other | |
| 30842237 | left skewed distribution | a distribution that has a concentration of data on the upper end and the tail on the left | |
| 30842238 | right skewed distribution | a distribution with a concentration of data on the lower end and the tail on the right | |
| 30842239 | outliers | values that fall outside the overall pattern of the data | |
| 30842240 | mean | the average of the data values | |
| 30842241 | median | the value in the center of an ordered data set | |
| 30842242 | range | the maximum data value minus the minimum data value | |
| 30842243 | first quartile | the value where 25 % of the data fall below it in an ordered list | |
| 30842244 | third quartile | the value where 75% of the data falls below it in an ordered list | |
| 30842245 | Interquartile Range (IQR) | the third quartile minus the first quartile | |
| 30842246 | percentile | the place in the data where a certain percentage of the data falls below that value | |
| 30842247 | 5 number summary | includes the minimum, first quartile, median, third quartile, & the maximum | |
| 30842248 | modified boxplot | a display for quantitative data that graphs the five-number summary on an axis and shows outliers of they exist | |
| 30842249 | variance | the standard deviation squared, it is a measure of spread | |
| 30842396 | advantage of stemplot | retains the actual data values from the data set | |
| 30842397 | advantage of histogram | easy to see shape of distribution & good for large data sets | |
| 30842398 | resistant | values that are not strongly affected by extreme values, the median is more resistant that the mean. The standard deviation is most strongly affected by extreme values |