Lecture 6.docx - Lecture 6 Probability and normal...

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Lecture 6 – Probability and normal distribution A Z score is a description of a point of data in terms of the number of standard deviations above or below the mean Z=+1 score is 1 SD above the mean Z = -2 score is 2 SD below the mean Probability of A = # outcomes classified as A/ total # of possible outcomes p (A) = # of As/ total # Probability can only take values between 0-1 0: outcome is impossible (0% chance) 1: outcome is certain (100% chance) Probability is central to inferential stats, it establishes a connection between samples and populations When population characteristics are unknown, the sample characteristics are used to form conclusions about populations Population –probability--> sample Population <--inferential statistics—sample (Independent) random sampling: process used to draw samples (required for definition of probability to be accurate) Random samples have 2 requirements: 1. Each member of the population has an equal probability of being in the sample 2.
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