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Standard Deviation
The context typically varies by SD from the mean of mean.
Percentile
percentile % of context are less than or equal to value.
z-score
Specific value with context is z-score standard deviations above/below the mean.
Correlation (r)
The linear association between x-context and y-context is weak/moderate/strong (strength) and positive/negative (direction).
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 (s)
The actual y-context is typically about s away from the value predicted by the LSRL.
Coefficient of Determination (r²)
About r²% of the variation in y-context can be explained by the linear relationship with x-context.
Conditional Probability P(A|B)
Given context B, there is a P(A|B) probability of context A.
Expected Value (Mean, M)
If the random process of context is repeated for a very large number of times, the average number of x-context we can expect is expected value.
Binomial Mean (mew x):
After many, many trials the average # of success context out of in is mew x.
Binomial Standard Deviation (ox)
The number of success context out of n typically varies by ox from the mean of mew x.
Standard Deviation of Sample Proportions (op^):
The sample proportion of success context typically varies by op^ from the true proportion of p.
Standard Deviation of Sample Means (ox-bar):
The sample mean amount of x-context typically varies by ox-bar from the true mean of ux.
Confidence level
If we take many, many samples of the same size and calculate a confidence interval for each, about confidence level% of them will capture the true parameter in context
p-value
Assuming Ho in context (Ho), there is a p-value probability of getting the observed result less/greater/more extreme, purely by chance.
Power
If Ha context is true at a specific value there is a power probability the significance test will correctly reject Ha.
Standard Error of the Slope (SEb)
The slope of the sample LSRL for x-context and y-context typically varies from the slope of the population LSRL by about SEb.