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11 Terms

1
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 When asked to describe a univariate distribution always remember to describe:

context, shape, outliers, center, spread

2
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 Interpret standard deviation:

 the typical distance of a value from the mean (IN CONTEXT)

3
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Interpret z-score:

the # of standard deviations a value is above/below the mean (IN CONTEXT)

4
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How we describe bivariate data:

context, direction, outliers, form, strength

5
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 Interpret y-intercept of LSRL

the PREDICTED value of the response variable when the value of the explanatory variable is 0 (IN CONTEXT)

6
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Interpret slope of LSRL:

the PREDICTED change in value of the response variable when the value of the explanatory variable increases by one (IN CONTEXT)

7
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Residual

y - y(hat) (actual minus predicted)

8
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Interpret r2

the proportion of variation in y that can be explained by the regression model of y on x (IN CONTEXT)

9
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 Interpret s:

the standard deviation of the residuals which is the typical distance between the actual y-values and the predicted y-values (IN CONTEXT)

10
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SRS -Simple Random Sample -

Gives every possible sample of the desired size (n) an equal chance to be chosen

11
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Four principles of a well designed experiment: 

Comparison, Random Assignment, Replication, Control