Central Tendency Lecture Notes PDF

Summary

These lecture notes cover statistical concepts, including central tendency measures like mean, median, and mode, and the weighted mean. They also discuss distributions and skewness. The document does not appear to be a past paper.

Full Transcript

CENTRAL TENDENCY Descriptive Statistics Overview  Central Tendency  Mean  Weighted Mean  Median  Mode What Is Central Tendency? 3  Score that best captures the entire group of scores  Mean  Median  Mode M...

CENTRAL TENDENCY Descriptive Statistics Overview  Central Tendency  Mean  Weighted Mean  Median  Mode What Is Central Tendency? 3  Score that best captures the entire group of scores  Mean  Median  Mode Mean 4  Arithmetic average  Add scores & divide by # of scores X  More Terms X   Population mean m (“mu”) Sample mean M or X n  Population N  Sample n  When writing in APA style N total sample, n for portion of sample Mean: an exercise 5 Here is a data set: 2 3 3 5 6 7 9 X What is the mean? X n Answer 6 Here is a data set: 2 3 3 5 6 7 9 X What is the mean? X n 2+3+3+5+6+7+9 35 ------------------------------- = ------ = 5 7 7 Weighted Mean  Overall mean of 2 or more separate groups X 1  X 2   WeightedX  n1  n2 X  Sample 1: M = 5, n = 4 X  n Sample 2: M = 3, n = 6  Σx1=  Σx2 = Weighted Mean: Answers  Overall mean of 2 or more separate groups X 1  X 2   WeightedX  n1  n2 X  Sample 1: M = 5, n = 4 X  n Sample 2: M = 3, n = 6  Σx1= 5 x 4 = 20 X 20  18  38 3.8  Σx2 =3 x 6 = 18 46 10 Weighted Mean Example  Hypothetical evaluations:  Instructor effectiveness 1-5 (high scores more effective)  Intro to Bio M = 3.25, n = 11  Intro to Bio M = 4.12, n = 25  What would the weighted mean be? Weighted Mean Example  Hypothetical evaluations:  Instructor effectiveness 1-5 (high scores more effective)  Intro to Bio M = 3.25, n = 11  Intro to Bio M = 4.12, n = 25  What would the weighted mean be?  [(3.25 x 11) + (4.12 x 25)]/(11 + 25)  (35.75 + 103)/36  138.75/36  3.85 Median 11  Score at the 50th percentile (Mdn)  List scores in order from low to high  When n is odd Ex: 2, 2, 4, 5, 6  Median is middle Mdn = 4 number Ex: 2, 2, 3, 3, 5, 5,  When n is even 6, 8  Median is halfway Middle scores: 3 between middle 2 &5 numbers Halfway: (3 + 5)/2 Mdn = 4 Mode 12  Most frequently occurring score  Any scale of measurement  Used for nominal scales  Problems:  Could be many modes  Does not take into consideration all of the data Mode  What is the mode of these data:  2 3 5 5 6 7 9  What is the mode of these data:  2 3 5 5 5 6 7 7 7 9 Mode  What is the mode of these data:  2 3 5 5 6 7 9 5  What is the mode of these data:  2 3 5 5 5 6 7 7 7 9 5 and 7 (these data are bimodal) Distributions 15 Unimodal Bimodal Measures of Central Tendency Measures of Central Tendency 17  Symmetrical (normal curve): M = Mdn = Mode  Positively skewed: M > Mdn  Mode  Negatively skewed: M < Mdn  Mode Which measure to use? 18 5 Score f f*score 4 3 5 1 f 2 4 2 1 3 4 0 1 2 3 4 5 2 2 1 1 What is n? What is Σx? What is M? What is Mdn? What is Answers: Which measure to use? 19 5 Score f f*score 4 3 5 1 5 f 2 4 2 8 1 3 4 12 0 1 2 3 4 5 2 2 1 1 4 1 What is n? (1+2+4+2+1) What is Σx? = 10 Mean usually used for What is M? Sum of f*score interval or ratio data What is = 1, 302, 2, 3, 3, 3, 3, 4, when distribution is Mdn? 4, 5 symmetrical & 30/10 =3 What is 3 unimodal. Which measure to use? 20 5 Score f f*score 4 55 1 55 3 f 2 4 2 8 1 3 4 12 0 1 2 3 4 55 2 2 1 1 4 1 What is n? What is Σx? What is M? What is Mdn? What is Which measure to use? 21 5 Score f f*score 4 55 1 55 3 f 2 4 2 8 1 3 4 12 0 1 2 3 4 55 2 2 1 1 4 1 What is n? (1+2+4+2+1) What is Σx? = 10 Median is preferred if What is M? Sum of f*score there are a few What is = 80 extreme scores or the Mdn? 80/10 = 8 distribution is very What is 3 skewed. Which measure to use?  Also use median if:  There are undetermined or unknown values  Open ended distributions 1, 2, 3, 4 or more  Ordinal data Which measure to use?  Mode is most appropriate for:  Nominal scales  Discrete variables  As an add on, gives a sense of distribution shape Example  Construct a frequency table and a graph.  Add columns for relative frequencies, cumulative frequencies, & cumulative percents.  Determine SX, n, M, Mdn, Mode.  Determine the shape of the distribution.  If you could only report one measure of central tendency then which would you choose and why. (interval data) 14 14 13 15 10 9 15 13 10 12 13 14 13 12 8 15 17 14 9 15 16 Answers Scores f f*score rf cf C% s 17 1 17.05 21 100% 16 1 16.05 20 95% 15 4 60.19 19 90% 14 4 56.19 15 71% 13 4 52.19 11 52% 12 2 24.10 7 33% 11 0 0.00 5 24% 10 2 20.10 5 24% 9 2 18.10 3 14% 8 1 8.05 1 5% Frequency of Scores 5 4 3 f 2 1 0 8 9 10 11 12 13 14 15 16 17 Scores Answers  n = 21  SX = 271  M = 12.90  Mdn = 13  Mo = 13, 14, 15  There are three modes and there is a slight negative skew. It is not quite a normal distribution, but because the mean, median, and mode are very similar it suggests the skew is not dramatic.  I would report mean, because the distribution is not skewed dramatically.

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