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AP STATS
Interpretation Guide
Term | Definition |
---|---|
Standard Deviation | The context typically varies by SD from the mean of the mean. |
Percentile | percentile % of context are less than or equal to value. |
Z-score | Specific value with context is z-score standard deviation above/below the mean. |
Describe a distribution | Be sure to address shape, center, variability, and outliers (in context). |
Correlation | The linear association between x-context and y-context is weak/moderate/strong. |
Residual | The actual y-context was residual above/below the predicted value when x-context= #. |
Y-intercept | The predicted y-context when x=0 context is y-intercept. |
Slope | The predicted y-context increases/decreases by slope for each additional x-context. |
Standard Deviation of Residuals | The actual y-context is typically about s away from the value of the predicted by the LSRL. |
Coefficient of Determination | About r2% of the variation in y-context can be explained by the linear relationship with x-context. |
Describe the Relationship | Be sure to address strength, direction, form and unusual features (in context). |
Probability P(A) | After many many context, the proportion of times that context A will occur is about P(A). |
Conditional Probability P(A/B) | Given context B, there is a P(A/B) probability of context A. |
Expected Value (Mean) | If the random process of context is repeated for a very large # of times, the average number of x-context we can expect is expected value. |
Binomial Mean | After many, many trials the average # of success context out of n is mean. |
Binomial Standard Deviation | The number of success context out of n typically varies by standard deviation. |
Standard Deviation of Sample Proportions | The sample proportion of success context typically vaires by standard deviation of p from the true proportion of p. |
Standard Deviation of Sample Means | The sample mean amount of x-context typically varies by standard deviation x from the true mean of mean x. |
Confidence Interval (A,B) | We are % confident that the interval from A to B capture the trie parameter of context. |
P-value | Assuming Ho in context there is a p-value probability of getting the observed result or less/greater/more extreme, purely by chance |
Conclusion for a significance test | Because p-value p-value greater than/ less than alpha we reject/ fail to reject Ho. We do/do not have convincing evidence for Ha in context. |
Type 1 Error |