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This guide delves into the essential concepts of descriptive statistics, focusing on key elements such as measures of central tendency (mean, median, mode) and variation (range, variance, standard deviation). It explores different types of number distributions, including normal, negatively skewed, and positively skewed curves. Learn to interpret z-scores, percentiles, frequency graphs, bar graphs, histograms, and frequency polygons. This comprehensive overview is designed to help you understand the visual representation of data and the significance of statistical measures in data analysis.
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Descriptive Statistics • Number pictures of data • Number distributions • Measures of central tendency • Measures of variation • Z scores • Percent and percentile
Number Pictures • Frequency graph • Bar graph or histogram • Frequency polygon • Frequency curve
Number Distributions • Normal curve • Negative skewed curve • Positive skewed curve
Normal Distribution -3 -2 -1 0 +1 +2 +3 Z
34.13% 34.13% 13.59% 13.59% 2.27% 2.27% 0 -3 -2 -1 +1 +2 +3 Z Normal Distribution
34.13% 34.13% 13.59% 13.59% 2.27% 2.27% 100 52 68 84 116 132 148 IQ TEST DISTRIBUTION Stanford-Binet
Mode Mean Median Negatively SkewedDistribution
Positively SkewedDistribution Mode Median Mean
Central Tendency • Mode • Median • Mean
Variation • Range • Variance • Standard deviation
Z Scores • Single score description • Relation of raw score to mean accounting for variation • Z = sum of • Standard score • Deviation score in standard deviation units
Percent • Proportion of a whole • Quantity - # units in proportion to 100 • %= (F)n / (t)n * 100
Percentile • A number’s position in a group of numbers • Percentage of numbers below the number • Median = 50th percentile