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Measures of Dispersion MATH 102 Contemporary Math S. Rook.

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Presentation on theme: "Measures of Dispersion MATH 102 Contemporary Math S. Rook."— Presentation transcript:

1 Measures of Dispersion MATH 102 Contemporary Math S. Rook

2 Overview Section 15.3 in the textbook: – Range & standard deviation

3 Range & Standard Deviation

4 Measures of Dispersion Last lesson we discussed describing data using measures of central tendency Sometimes the amount of spread is also useful to describe data especially when we desire consistency – e.g. See battery example in the textbook on page 740 We will discuss two measures of dispersion: – Range – Standard deviation

5 Range The range of a list of data is the difference between the maximum and minimum values – Is an effective way to describe data when the data values are close together e.g. What is the range of 1, 3, 4, 6, 7, 9? – Is an ineffective way to describe data when one or more data values are spread out from the rest e.g. What is the range of 1, 3, 4, 6, 7, 9, 100?

6 Standard Deviation The standard deviation of a list of data is the average difference each data item lies from the mean – Very useful to develop a measure of consistency e.g. If we know that the mean of a data set is 50 and its standard deviation is 4, we know that about 68% (over half) of the data values are between 46 and 54

7 Calculating Standard Deviation by Hand Feasible to calculate the standard deviation of a small list of data (e.g. 4, 6, 8, 10, 12) by hand: – Calculate the mean of the data – Find the difference between each data value and the mean This is the deviation from the mean – Square the deviations and then sum them all – Divide the sum by n – 1 (one less than the number of data items) for a sample or n for a population This is known as the [sample or population] variance – Take the square root of the quotient This is the [sample or population] standard deviation

8 Computing Standard Deviation by Calculator Compute the [population/sample] standard deviation using the same steps for the mean & median or five-number summary – Use the value next to: σ (sigma) for the population standard deviation s for the sample standard deviation – Make sure you know which standard deviation to use from the context of the problem! They are different!

9 Range & Standard Deviation (Example) Ex 1: Find the range, mean, and sample standard deviation of the data by using a calculator: a) 8, 4, 7, 6, 5, 5, 4, 9 b) 22, 18, 15, 21, 21, 15, 19, 13

10 Range & Standard Deviation (Example) Ex 2: The following table lists the state income tax for a person earning $50,000 per year for several states. Find the range, mean, and sample standard deviation: StateIncome Tax (%) AZ3.36 CO4.63 HI8.25 KS6.45 MA5.3 NY6.85 PA3.07 VA5.75

11 Range & Standard Deviation (Example) Ex 3: The following table gives the weight (in pounds) of the players on an athletic team. Find the range, mean, and population standard deviation: PlayerWeightPlayerWeight Ajavon160Maiga-Ba160 Byears206Shields155 Dixon148Snow158 Holmes155Thompson178 Johnson152Walker253 Kelly190White135 Lyttle175Williams184 Mabika165

12 Summary After studying these slides, you should know how to do the following: – Calculate the range and [population or sample] standard deviation of a small data set BY HAND – Calculate the range and [population or sample] standard deviation of a data set with a calculator Additional Practice: – See problems in Section 15.3 Next Lesson: – Normal Distribution (Section 15.4)


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