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AP STATS

Interpretation Guide

TermDefinition
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
Created by: KGittens
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