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ELEMENTARY STATISTICS Section 2-4 Measures of Center MARIO F. TRIOLA EIGHTH EDITION 1 Objectives Day 1 • Given a data set, determine the mean, median, and mode. 2 Measures of Center a value at the center or middle of a data set 3 Definitions Mean (Arithmetic Mean) AVERAGE the number obtained by adding the values and dividing the total by the number of values 4 Notation denotes the addition of a set of values x is the variable usually used to represent the individual data values n represents the number of data values in a sample N represents the number of data values in a population 5 Notation x is pronounced ‘x-bar’ and denotes the mean of a set of sample values x x = n 6 Notation x is pronounced ‘x-bar’ and denotes the mean of a set of sample values x x = n µ is pronounced ‘mu’ and denotes the mean of all values in a population µ = x N Calculators can calculate the mean of data 7 Definitions Median the middle value when the original data values are arranged in order of increasing (or decreasing) magnitude 8 Definitions Median the middle value when the original data values are arranged in order of increasing (or decreasing) magnitude often denoted by x~ (pronounced ‘x-tilde’) 9 Definitions Median the middle value when the original data values are arranged in order of increasing (or decreasing) magnitude often denoted by x~ (pronounced ‘x-tilde’) is not affected by an extreme value 10 6.72 3.46 3.60 6.44 3.46 3.60 6.44 6.72 (even number of values) no exact middle -- shared by two numbers 3.60 + 6.44 2 MEDIAN is 5.02 11 6.72 3.46 3.60 6.44 3.46 3.60 6.44 6.72 (even number of values) no exact middle -- shared by two numbers 3.60 + 6.44 MEDIAN is 5.02 2 6.72 3.46 3.60 6.44 26.70 3.46 3.60 6.44 6.72 26.70 (in order - exact middle odd number of values) MEDIAN is 6.44 12 Definitions Mode the score that occurs most frequently Bimodal Multimodal No Mode denoted by M the only measure of central tendency that can be used with nominal data 13 Examples a. 5 5 5 3 1 5 1 4 3 5 Mode is 5 b. 1 2 2 2 3 4 5 6 6 6 7 9 Bimodal - c. 1 2 3 6 7 8 9 10 No Mode 2 and 6 14 Definitions Midrange the value midway between the highest and lowest values in the original data set 15 Definitions Midrange the value midway between the highest and lowest values in the original data set Midrange = highest score + lowest score 2 16 Round-off Rule for Measures of Center Carry one more decimal place than is present in the original set of values 17 Mean from a Frequency Table use class midpoint of classes for variable x 18 Mean from a Frequency Table use class midpoint of classes for variable x (f • x) x = f Formula 2-2 19 Mean from a Frequency Table use class midpoint of classes for variable x (f • x) x = f Formula 2-2 x = class midpoint f = frequency f=n 20 Example Qwerty Keyboard Word Ratings Word Ratings Interval Midpoints Frequency x f 0-2 1 20 20 3-5 6-8 4 7 14 15 56 105 9-11 12-14 10 13 2 1 20 13 f x 52 x f ( x f ) 214 214 4.11 4.1 points 52 21 • Pages 65-66 3,5,9,11 22 Homework Solutions pg 65 #3 • Mean x x n 972 x 12 x 81.0 seconds • Median 35 46 55 65 74 83 88 93 99 107 108 119 Occurs between the 6th and 7th data values Mode- none83 88 x 85.5 seconds 2 23 Homework Solutions pg 65 #5 • Mean x 7.15 minutes • Median x 7.20 • Mode 7.70 Jefferson Valley Providence 24 Homework Solutions pg 65 #9 midpts freq x*f 40-49 50-59 60-69 70-79 80-89 90-99 14870 x 74.35 74.4 minutes 200 100-109 f 200 x f 14870 25 Homework Solutions pg 65 #11 • Mean Midpts x Freq f x*f 2339 x 46.78 46.8 mph 50 26 Objectives Day 2 • Given a data set where the scores vary in importance, compute a weighted mean. • Determine how extreme values affect measures of center. • Understand the relationship between the shape of a distribution and the relative location of the mean and median. 27 Weighted Mean – used when scores vary in importance Formula w x x w where x represents the scores and w the corresponding weights w1 x1 w2 x2 ... wn xn x w1 w2 ... wn 28 Example Weighted Mean Note A straight percentage grade based on all tests being 100 points • The final grade computation for a freshman statistics course is based 329 on weighted components. .8225 82% Tests 20% each 400 Final 40% If the Test scores are 83%, 73%, 82% , and a final exam score of 91% … What is the final grade? xw 20 83 20 73 20 82 40 91 xw 20 20 20 40 8400 84 100 29 Weighted Mean common error The weights do not need to sum to 100 30 Example Weighted Mean • Two algebra classes had the following average test scores. Period 2 had a mean score of 40 with 24 students and period 8 had a mean score of 34 with 16 students. What is the mean of the two classes combined? xw 24 40 16 34 xw 24 16 1504 37.6 points 40 31 Example Weighted Mean What is your GPA? • Your first semester grades at college are as follows: Subject Grade Credits 3A 4 43 3 3 3 1 2 3 4 GPA Biology Calculus College GPA Writing B 4 3 4 3 1 3 47 B 3.3573 14 Archery C 1 Chemistry A 3 32 Best Measure of Center Advantages - Disadvantages Table 2-13 33 Extreme Values and Measures of Center Consider the following data set of salaries at a small Now change the $125,000 to $250,000 shipping company. 30,000 30,000 30,000 30,000 30,000 40,000 45,000 125,000 What is the mean? The median? The mode? x 360000 $45, 000 8 x $30, 000 mode $30, 000 What is the mean? The median? The mode? x 485, 000 $60, 625 8 x $30, 000 mode $30, 000 34 Definitions Symmetric Data is symmetric if the left half of its histogram is roughly a mirror of its right half. Skewed Data is skewed if it is not symmetric and if it extends more to one side than the other. 35 Skewness Figure 2-13 (b) Mode = Mean = Median SYMMETRIC 36 Skewness Figure 2-13 (b) Mode = Mean = Median SYMMETRIC Mean Mode Median Figure 2-13 (a) SKEWED LEFT (negatively) 37 Skewness Figure 2-13 (b) Mode = Mean = Median SYMMETRIC Mean Mode Median Figure 2-13 (a) SKEWED LEFT (negatively) Mean Mode Median SKEWED RIGHT (positively) Figure 2-13 (c) 38 Review of Concepts • The mean of a data set is the balance point of the values. Think of the mean as a give and take • The median is the middle value of an ordered data set. • The mode is the data value that occurs most frequently. There may be no mode, one mode, or more than one mode. • If a distribution has few values or it is skewed, then the measures of center may not actually be near the center of the distribution. You must make appropriate decisions as to use which measure of center is most appropriate. 39 Page 68 #20, 21, 24 Page 107 # 2, 3 Handout data analysis of mean 40