STAB22H3 Lecture Notes - Lecture 7: Scatter Plot, Normal Distribution, Time Series
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STAB22H3 Full Course Notes
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The normal distribution table is the z-score table. Example : calculate proportion below a certain value calculate z- score & read table, calculate proportion above a certain value calculate z- score & read table. & subtract from one z-score table at the back of the book only gives us proportions for less than a given value. Since, area under the curve is always equal to 1, the proportion for greater than is simply equal to: 1- (proportion for less than the value, scatterplot. When we plot one quantitative variable vs. another quant. Positive association pattern is not very straight-line but instead it curves up. Lurking variables: hidden variables that lurk or stand behind an analysis, may have a influence on the relationship that is being studied. Respponse variable- measures outcome of a s study. Explanatory variable explains the changes in the r. variable. Most common display of data: you can find patterns, trends, relationships, and the extraordinary value.
