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NUMERICAL DESCRIPTIVE STATISTICS Measures of Central Tendency Measures of Central Tendency.

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Presentation on theme: "NUMERICAL DESCRIPTIVE STATISTICS Measures of Central Tendency Measures of Central Tendency."— Presentation transcript:

1 NUMERICAL DESCRIPTIVE STATISTICS Measures of Central Tendency Measures of Central Tendency

2 MEASURES OF CENTRAL TENDENCY The following are typical measures of central tendency for a population –Mean -- the average –Median -- the middle observation after the data has been ordered –Mode -- the observation that occurs most often

3 One measure of central tendency is the mean The population mean is the average (or weighted average) of all observations of the population Population mean for a population of size N:  =  x i /N Population Mean (  )

4 Example N = 2000 students took an introductory statistics last year at CSUF. Using the 4- point scale (A=4, B=3, etc.) the following were the grades 4,2,1,3,3,3,2,… 2. The mean grade of all statistics students was:  = (4+2+1+3+3+3+2+…+2)/2000 = 2.39

5 Calculating  Using Frequency Data Would not add up the 2000 numbers this way if we knew how many A’s, B’s, C’s, D’s, and F’s Example A(4) = 304, B(3) = 530, C(2) = 852, D (1) = 270 F(0) = 44  = (304(4) +530(3) +852(2) +270(1) +44(0))/2000 = 2.39 Note the relative frequencies are found by dividing by N (which is 2000): A(4) =.152, B(3) =.265, C(2) =.426, D (1) =.135 F(0) =.022 We can also calculate  as a weighted average (weighted by relative frequencies) :  =.152(4) +.265(3) +.426(2) +.135(1) +.022(0) = 2.39

6 Sample Data The only way to know  for sure is to have access to all the data in the population We rarely know all the members of the population Thus we try to estimate a parameter such as  by taking a sample of n members from the N members of the population POINT ESTIMATEResult: POINT ESTIMATE of the parameter

7 EXAMPLE Suppose 10 students were surveyed. Their grades were: 4,2,3,3,2,2,1,4,3,2

8 Sample Mean The sample mean is the point estimate for the population mean. DATA: 4,2,3,3,2,2,1,4,3,2

9 Frequency Calculation for the Sample Mean Grade Frequency A -- 4 2 B -- 3 3 C -- 2 4 D -- 1 1

10 Sample Median (Even Number of Data Points) The the average of the two middle observations First put in either ascending or descending order DATA: 4,2,3,3,2,2,1,4,3,2 There is an even number of data points (10) ASCENDING ORDER: 1,2,2,2,2,3,3,3,4,4 2,3 Median = Average of the middle two (2+3)/2 = 2.5

11 Sample Median (Odd Number of Data Points) Suppose there were an odd number of observations -- suppose an 11 person was surveyed and she got an “A” (4) There is an odd number of data points (11) ASCENDING ORDER: 1,2,2,2,2,3,3,3,4,4,4 3 Median is middle observation Median = 3

12 Observation that occurs most often in the sample data Create a frequency distribution Grade Frequency A -- 4 2 B -- 3 3 C -- 2 4 D -- 1 1 Sample Mode 2 Mode = 2 4 Highest Frequency

13 Central Tendency in Excel Suppose data are in cells A2 to A11 Mean --=AVERAGE(A2:A11) Median -- =MEDIAN(A2:A11) Mode --=MODE(A2:A11) Can also use Descriptive Statistics Option from Data Analysis in the Tools Menu

14 =AVERAGE(A2:A11)=MEDIAN(A2:A11) =MODE(A2:A11)

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16 Where data values are stored Enter Name of Output Worksheet Check both: Summary Statistics Confidence Level Check Labels

17 Sample Mean Sample Median Sample Mode Drag to make Column A wider

18 Review Difference Between Population and Sample Data Calculation of the Mean: –Definition –Relative Frequency Approach Median Mode Excel –Functions –Descriptive Statistics


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