| A | B |
|---|
| Range | Maximum-Minimum |
| Frequency | The amount of times something occurs |
| Mean | The average (Add up all data points and divide by the number of data points) |
| Median | The middle of the data |
| Quartile 1 | The median of the lower half of the data |
| Quartile 3 | The median of the upper half of the data |
| Maximum | The largest data point |
| Minimum | The smallest data point |
| Five Number Summary | Consists of the min., Q1, med., Q3, and the max. All are used to create a box and whisker plot. |
| Outlier | A data point that is very different from the rest. |
| Standard Deviation | the “average” distance a data point is away from the mean. |
| Interquartile range | Quartile 3 - Quartile 1 |
| Relative Frequency | how often something occurs divided by the total. To get a percentage, multiply by 100. |
| Bivariate Data Analysis | relationship between 2 variables |
| Positive Correlation | Both variables increase or decrease at the same time. (Move in the same direction.) |
| Negative Correlation | One variable increases while the other decreases. (Move in opposite directions.) |
| Causal Relationship | One variable affects the other |
| Linear Regression | Best fit line for a linear model |
| Correlation Coefficient (r-value) | How well the best fit line predicts the model. The closer to 1 or -1 the better it is. |
| Residual Graph | Determines if the linear model is the best model for the data. The more scattered the dots, the better. You DO NOT want a pattern (ex. Quadratic looking graph). |
| Residual | Y-value minus Y-predicted (get the predicted from your table on the calculator OR plug in the value of x into the best fit line equation.) |
