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Basic Statistics AP Psychology Outline I. Introduction II. Measures of central tendency a. b. c. Mean Median Mode III. Measures of variance a. b. c. Range Variance Standard Deviation IV. Normal distribution, empirical rule, and skewed distributions Distributions • A distribution is a set of outcomes (e.g. scores) • A distribution can be represented graphically using a histogram and distribution curve: Exercise Roll three dice 100 times and record the outcomes on a histogram Exercise Roll three dice 100 times and record the outcomes on a histogram • What do you notice about the distribution? • How would you describe the distribution to someone else? Exercise Roll three dice 100 times and record the outcomes on a histogram • What do you notice about the distribution? • How would you describe the distribution to someone else? Describing a Distribution A distribution can be described using… Describing a Distribution A distribution can be described using… measures of central tendency (a single score that represents the whole set of scores), and… Describing a Distribution A distribution can be described using… measures of central tendency (a single score that represents the whole set of scores), and… measures of variance (how similar or diverse the scores are) Measures of Central Tendency Measures of Central Tendency describe a set of scores as a single number Measures of Central Tendency Measures of Central Tendency describe a set of scores as a single number • Mean = Average score Measures of Central Tendency Measures of Central Tendency describe a set of scores as a single number • Mean = Average score • Median = 50th percentile (middle score) Measures of Central Tendency Measures of Central Tendency describe a set of scores as a single number • Mean = Average score • Median = 50th percentile (middle score) • Mode = Most common score Mean Mean: Average of the scores Example: 1, 4, 7 Mean = (1+4+7)/3 = 12/3 = 4 Note: The Mean is a good measure of central tendency but can be skewed by outliers Mean Mean: Average of the scores Example: 1, 4, 7 Mean = (1+4+7)/3 = 12/3 = 4 Note: The Mean is a good measure of central tendency but can be skewed by outliers Mean Mean: Average of the scores Example: 1, 4, 7 Mean = (1+4+7)/3 = 12/3 = 4 Note: The Mean is a good measure of central tendency but can be skewed by outliers Median Median: 50th percentile (middle score)... – – – – Half of the scores are above it and half are below it If there is an odd number of scores, take the middle score If there is even number of scores, average the two middle scores You can find the middle score using this formula: (n+1)/2 Example: 1, 4, 7 Median = 2nd score = 4 (n+1)/2 = (3+1)/2 = 2nd score Example: 1, 3, 5, 7 Median = average of 2nd and 3rd scores = 4 Median Median: 50th percentile (middle score)... – – – – Half of the scores are above it and half are below it If there is an odd number of scores, take the middle score If there is even number of scores, average the two middle scores You can find the middle score using this formula: (n+1)/2 Example: 1, 4, 7 Median = 2nd score = 4 (n+1)/2 = (3+1)/2 = 2nd score Example: 1, 3, 5, 7 Median = average of 2nd and 3rd scores = 4 Median Median: 50th percentile (middle score)... – – – – Half of the scores are above it and half are below it If there is an odd number of scores, take the middle score If there is even number of scores, average the two middle scores You can find the middle score using this formula: (n+1)/2 Example: 1, 4, 7 Median = 2nd score = 4 (n+1)/2 = (3+1)/2 = 2nd score Example: 1, 3, 5, 7 Median = average of 2nd and 3rd scores = 4 Median Median: 50th percentile (middle score)... – – – – Half of the scores are above it and half are below it If there is an odd number of scores, take the middle score If there is even number of scores, average the two middle scores You can find the middle score using this formula: (n+1)/2 Example: 1, 4, 7 Median = 2nd score = 4 (n+1)/2 = (3+1)/2 = 2nd score Example: 1, 3, 5, 7 Median = average of 2nd and 3rd scores = 4 Mode Mode: Most common score Example: 1, 3, 3, 4, 5, 7 Mode = 3 (only score that occurs twice) Mode Mode: Most common score Example: 1, 3, 3, 4, 5, 7 Mode = 3 (only score that occurs twice) Questions Four students in a psychology class received scores of 2, 3, 3, and 4 What is the mean? What is the median? What is the mode? Questions Four students in a psychology class received scores of 2, 3, 3, and 4 What is the mean? 3 What is the median? What is the mode? (2+3+3+4)/4 Questions Four students in a psychology class received scores of 2, 3, 3, and 4 What is the mean? 3 What is the median? 3 What is the mode? (2+3+3+4)/4 average of 3 and 3 Questions Four students in a psychology class received scores of 2, 3, 3, and 4 What is the mean? 3 What is the median? 3 What is the mode? 3 (2+3+3+4)/4 average of 3 and 3 most common score Questions For which of the following distributions of scores would the median most clearly be a more appropriate measure of central tendency than the mean? A. B. C. D. 16, 28, 4, 8, 24 9, 6, 9, 12, 9 5, 19, 4, 5, 2 8, 9, 12, 10, 16 Questions For which of the following distributions of scores would the median most clearly be a more appropriate measure of central tendency than the mean? A. B. C. D. 16, 28, 4, 8, 24 9, 6, 9, 12, 9 5, 19, 4, 5, 2 X 8, 9, 12, 10, 16 (19 is an outlier, and skews the mean) Measures of Variation A measure of variation tells us how similar or diverse the scores are (e.g. how packed together or dispersed the scores are) • Range = Difference between highest and lowest scores • Variance = Average of squared difference from mean • Standard deviation = Square root of variance Measures of Variation A measure of variation tells us how similar or diverse the scores are (e.g. how packed together or dispersed the scores are) • Range = Difference between highest and lowest scores • Variance = Average of squared difference from mean • Standard deviation = Square root of variance Measures of Variation A measure of variation tells us how similar or diverse the scores are (e.g. how packed together or dispersed the scores are) • Range = Difference between highest and lowest scores • Variance = Average of squared difference from mean • Standard deviation = Square root of variance Measures of Variation A measure of variation tells us how similar or diverse the scores are (e.g. how packed together or dispersed the scores are) • Range = Difference between highest and lowest scores • Variance = Average of squared difference from mean • Standard deviation = Square root of variance Range Range: difference between highest and lowest scores Example: 1, 4, 7 Range = 7-1 = 6 Range Range: difference between highest and lowest scores Example: 1, 4, 7 Range = 7-1 = 6 Variance Variance: Average of squared difference from mean Example: 2, 5, 8 (average = 5) Variance = 6 average of (2-5)2, (5-5)2, and (8-5)2 average of 9 , 0 , and 9 Variance Variance: Average of squared difference from mean Example: 2, 5, 8 (average = 5) Variance = 6 average of (2-5)2, (5-5)2, and (8-5)2 average of 9 , 0 , and 9 Standard Deviation Standard Deviation: square root of variance Example: Variance = 9 Standard Deviation = 3 Standard Deviation Standard Deviation: square root of variance Example: Variance = 9 Standard Deviation = 3 Questions Which of the following would be the BEST choice to measure variability? A. B. C. D. Standard deviation Mode Range Mean Questions Which of the following would be the BEST choice to measure variability? A. B. C. D. Standard deviation Mode Range Mean X Questions Four students in a psychology class received scores of 2, 3, 3, and 4 What is the range? What is the variance? Questions Four students in a psychology class received scores of 2, 3, 3, and 4 What is the range? 2 (4-2) What is the variance? Questions Four students in a psychology class received scores of 2, 3, 3, and 4 What is the range? 2 (4-2) What is the variance? 0.5 (average of 1, 0, 0, and 1) Normal Distribution & Empirical Rule Normal Distribution (“Bell Curve”): Commonly occurring distribution Empirical Rule: • 68% of population within 1 standard deviation (+/- 1s) • 95% within 2s • 99.7% within 3s Questions The average IQ is 100, and the standard deviation is 15 Q: Assuming a normal distribution, approximately what percentage of individuals have an IQ of more than 115? A: 16% 50% of individuals score below average, and 34% (half of 68%) of individuals score between 100 & 115 Questions The average IQ is 100, and the standard deviation is 15 Q: Assuming a normal distribution, approximately what percentage of individuals have an IQ of more than 115? A: 16% 50% of individuals score below average, and 34% (half of 68%) of individuals score between 100 & 115 Skewed Distribution Curves Questions If a curve is positively skewed… Is the mean, median or mode furthest to the right? Which is furthest to the left?& 115 Questions If a curve is positively skewed… Is the mean, median or mode furthest to the right? mean, because it is skewed the most by outliers Which is furthest to the left? the mode (the median is always in the middle) Questions If a curve is positively skewed… Is the mean, median or mode furthest to the right? mean, because it is skewed the most by outliers Which is furthest to the left? the mode (the median is always in the middle) Questions If a curve is positively skewed… Is the mean, median or mode furthest to the right? mean, because it is skewed the most by outliers Which is furthest to the left? the mode (the median is always in the middle)