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Measures of Central Tendency Section 2.3. Central Values There are 4 values that are considered measures of the center. 1.Mean 2.Median 3.Mode 4.Midrange.

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Presentation on theme: "Measures of Central Tendency Section 2.3. Central Values There are 4 values that are considered measures of the center. 1.Mean 2.Median 3.Mode 4.Midrange."— Presentation transcript:

1 Measures of Central Tendency Section 2.3

2 Central Values There are 4 values that are considered measures of the center. 1.Mean 2.Median 3.Mode 4.Midrange

3 Arrays Mean – the arithmetic average with which you are the most familiar. Mean:

4 Sample and Population Symbols As we progress in this course there will be different symbols that represent the same thing. The only difference is that one comes from a sample and one comes from a population.

5 Symbols for Mean Sample Mean: Population Mean:

6 Rounding Rule Round answers to one decimal place more than the number of decimal places in the original data. Example: 2, 3, 4, 5, 6, 8 A Sample answer would be 4.1

7 Example Find the mean of the array. 4, 3, 8, 9, 1, 7, 12

8 Example 2 – Use Calculator Find the mean of the array. 2.0, 4.9, 6.5, 2.1, 5.1, 3.2, 16.6 Use your lists on the calculator and follow the steps.

9 Stat, Edit – input list

10 Stat, Calc, One-Var Stats, L1

11 Or…..(I like this way better!) 2 nd Stat Math 3: Mean (L#)

12 Rounding The mean (x-bar) is 5.77. We used 2 decimal places because our original data had 1 decimal place.

13 Median Median – the middle number in an ordered set of numbers. Divides the data into two equal parts. Odd # in set: falls exactly on the middle number. Even # in set: falls in between the two middle values in the set; find the average of the two middle values.

14 Example Find the median. A.2, 3, 4, 7, 8 - the median is 4. B. 6, 7, 8, 9, 9, 10 median = (8+9)/2 = 8.5.

15 Ex 2 – Use Calculator Input data into L1.

16 Run “Stat, Calc, One-Variable Stats, L1” Cursor all the way down to find “med”

17 Or……. 2 nd Stat Math 4: Median(L#)

18 Mode The number that occurs most often. Suggestion: Sort the numbers in L1 to make it easier to see the grouping of the numbers. You can have a single number for the mode, no mode, or more than one number.

19 Example Find the mode. 1, 2, 1, 2, 2, 2, 1, 3, 3 Put numbers in L1 and sort to see the groupings easier.

20 The mode is 2.

21 Ex 2 Find the mode. A.0, 1, 2, 3, 4 - no mode B.4, 4, 6, 7, 8, 9, 6, 9 - 4,6, and 9

22 Midrange The number exactly midway between the lowest value and highest value of the data set. It is found by averaging the low and high numbers.

23 Example Find the midrange of the set. 3, 3, 5, 6, 8

24 Measures of Dispersion…..Arrays Section 2.4

25 Dispersion The measure of the spread or variability No Variability – No Dispersion

26 Measures of Variation There are 3 values used to measure the amount of dispersion or variation. (The spread of the group) 1.Range 2.Variance 3.Standard Deviation

27 Why is it Important? You want to choose the best brand of paint for your house. You are interested in how long the paint lasts before it fades and you must repaint. The choices are narrowed down to 2 different paints. The results are shown below. Which paint would you choose?

28 The chart indicates the number of months a paint lasts before fading. Paint APaint B 1035 6045 5030 35 40 2025 210

29 Does the Average Help? Paint A: Avg = 210/6 = 35 months Paint B: Avg = 210/6 = 35 months They both last 35 months before fading. No help in deciding which to buy.

30 Consider the Spread Paint A: Spread = 60 – 10 = 50 months Paint B: Spread = 45 – 25 = 20 months Paint B has a smaller variance which means that it performs more consistently. Choose paint B.

31 Range The range is the difference between the lowest value in the set and the highest value in the set. Range = High # - Low #

32 Example Find the range of the data set. 40, 30, 15, 2, 100, 37, 24, 99 Range = 100 – 2 = 98

33 Deviation from the Mean A deviation from the mean, x – x bar, is the difference between the value of x and the mean x bar. We base our formulas for variance and standard deviation on the amount that they deviate from the mean. We’ll use a shortcut formula – not in book.

34 Variance (Array) Variance Formula

35 Standard Deviation The standard deviation is the square root of the variance.

36 Example – By Hand Find the variance. 6, 3, 8, 5, 3

37

38 Find the standard deviation The standard deviation is the square root of the variance.

39 Same Example – Use Calculator Put numbers in L1.

40 Run “Stat, Calc, One-Variable Stats, L1” and read the numbers. Remember you have to square the standard deviation to get variance.

41 Or…. 2 nd Stat Math 7:stdDev(L1) Enter

42 Variance – By Hand Square the ENTIRE number for the standard deviation not the rounded version you gave for your answer.

43 Variance on Calculator 2 nd Stat Math 8: Variance (L1)

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