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| 5132785413 | Variables | Characteristic of an individual | 0 | |
| 5132785414 | Categorical Variable | Places individual into a category | 1 | |
| 5132785415 | Quantitative Variable | Takes numerical values for which it makes sense to find an average | 2 | |
| 5132785416 | Frequency Table | Table of counts | 3 | |
| 5132785417 | Relative Frequency Table | Displays percents | 4 | |
| 5132785418 | Bar Graph | - Label axes - Title graph - Scale axes appropriately - Each bar should correspond to the appropriate count - Leave room between bars | 5 | |
| 5132785420 | Pie Chart | - Include all the categories that make up the whole - Counts will be percentages | 6 | |
| 5132785423 | Shape | Symmetric, skewed | 7 | |
| 5132785424 | Measures of Center | Mean, Median | 8 | |
| 5132785425 | Mean | - Most common measure of center - Arithmetic average | 9 | |
| 5132785426 | Median | - Midpoint of a distribution | 10 | |
| 5132785427 | Spread | Range, IQR | 11 | |
| 5132785428 | IQR | The middle 50% | 12 | |
| 5132785429 | IQR Equation | Q3 - Q1 | 13 | |
| 5132785430 | Outlier Equation | Less than Q1 - 1.5IQR Higher than Q3 + 1.5IQR | 14 | |
| 5132785431 | Dotplot | - Only need to properly label horizontal axis - Title - Each dot represents a count of 1 - Works well with a small data set | 15 | |
| 5132785432 | Stemplot | - Separate each piece of data into a "stem" and a "lead" - Write the stems vertically in increasing order from top to bottom - Write the leaves in increasing order out from the stem - Be very neat and leave the same amount of space between leaves - Title the graph - Include a key identifying what the stem and leaves represent - Works well with a small data set | 16 | |
| 5132785433 | Histogram | - Most common graph of a quantitative variable - The x-axis is continuous, no gaps between bars - Title the graph - Divide the range of data into classes of equal width - Label and scale the axes | 17 | |
| 5132785434 | Five-Number Summary | Minimum, Q1, Median, Q3, Maximum | 18 | |
| 5132785435 | Boxplot | - Drawn from Q1 to Q3 - Line in the middle marks the median - Lines extend from the box to the smallest and largest observations that aren't outliers | 19 | |
| 5132785436 | Standard Deviation | - Find the distance of each observation from the mean - Square each of these distances - Average the distances by dividing their sum by n-1 - Take the square roon | 20 | |
| 5132785437 | Round-off Error | The error from rounding decimals | 21 | |
| 5132785438 | When describing the overall pattern of a distribution, you must address... | - Center - Shape - Spread - Outliers | 22 | |
| 5132785439 | Dotplot |  | 23 | |
| 5132785440 | Histogram |  | 24 | |
| 5132785441 | Bar Graph |  | 25 | |
| 5132785442 | Frequency Table |  | 26 | |
| 5132785443 | Relative Frequency Table |  | 27 | |
| 5132785444 | Symmetric |  | 28 | |
| 5132785445 | Skewed Right |  | 29 | |
| 5132785446 | Skewed Left |  | 30 | |
| 5132785447 | Pie Chart |  | 31 | |
| 5132785448 | Segmented Bar Graph |  | 32 | |
| 5132785449 | Two-Way Table |  | 33 | |
| 5132785450 | Back-to-Back Stemplot |  | 34 | |
| 5132785451 | Boxplot |  | 35 | |
| 5132785452 | Is the mean sensitive to outliers? | The mean is sensitive to outliers. | 36 | |
| 5132785453 | If a distribution is skewed, use this measure of center | Median | 37 | |
| 5132785454 | Is the median sensitive to outliers? | The median is not sensitive to outliers. | 38 | |
| 5132785455 | If a distribution is exactly symmetric, the median and mean will be | Exactly the same | 39 | |
| 5132785456 | If the distribution is skewed left, the mean will | Fall to the left | 40 | |
| 5132785457 | If the distribution is skewed right, the mean will | Fall to the right | 41 |
