Stat_Chapter 3 Key Words

# B c d e determine the standardized version of x are

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Unformatted text preview: f Variable x (Table 3.16) x -1 3 3 3 5 5 z -2 0 0 0 0 1 Z-score = standard score Procedure for z-score calculation a. b. c. d. e. Determine the standardized version of x are “mew” or = 3 and sigma or = 2. The observed value of z corresponding to an observed value of x of 5 is z = 5-3/2 = 1 Values generated for z in row 2 of Table 3.16; Mean and standard deviation are = 1; = 0; Dotplots show how standardizing shifts a distribution of the new mean to 0 and the new standard deviation to 1. 7 The z-score explains how many standard deviations that the observation is from the mean, that is, how far the observation is from the mean in units of standard deviation. Used for comparison or normalizing a scale Key Terms • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • Adjacent values Box and whisker diagram Boxplot Chebychev’s rule Deciles Descriptive Measures Deviations from the Mean Empirical Rule First Quartile Five-number Summary Indices Interquartile Range Lower Limit Mean Mean of a Variable Measures of Center Measures of Central Tendancy Measures of Spread Measures of Variation Median Mode Parameter Percentiles Population Mean Population Standard Deviation Population Variance Potential Outlier Quartiles Quintiles Range Resistant Measure Sample Mean Sample Size 8 • • • • • • • • • • • • • • • • • Sample Standard Deviation Sample Variance Second Quartile Standard deviation Standard deviation of a variable Standardized variable Standardized version Statistic Subscripts Sum of Squared Deviations Summation Notation Third Quartile Trimmed Means Upper Limit Variance of a Variable Whiskers Z-score...
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## This document was uploaded on 02/06/2014.

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