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Chapter 3.2

Chapter 3.2. Measures of Variance. Steps for Variance and Standard Deviation of Grouped Data. Make a table including columns for class, frequency (f), midpoint ( X m ), frequency times midpoint (f * X m ) , and frequency times midpoint squared (f * )

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Chapter 3.2

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  1. Chapter 3.2 Measures of Variance

  2. Steps for Variance and Standard Deviation of Grouped Data • Make a table including columns for class, frequency (f), midpoint (Xm), frequency times midpoint (f * Xm) , and frequency times midpoint squared (f * ) • Multiply the frequency by the midpoint for each class and fill in the table • Multiply the frequency by the square of the midpoint and fill in the table • Find the sum of the columns (frequency (f),frequency times midpoint (f * Xm) , and frequency times midpoint squared (f * ) • Substitute in to the formula for variance • Take the square root to find standard deviation

  3. Example: • Find the variance and standard deviation for the frequency distribution of the data below. The data represents the number of miles that 20 runners ran during one week.

  4. Uses of Variance and Standard Deviation • Used to determine spread of the data. The larger the variance and standard deviation, the more variable the data is. • Used to determine the consistency of a variable. • Used to determine the number of data values that fall within a specified interval in a distribution. • Used often in inferential statistics.

  5. Chebyshev’s Theorem • The proportion of values from a data set that will fall within k standard deviations of the mean will be at least 1 – (1/k2), where k is a number greater than 1 (k is not necessarily an integer) For example: We can say that 75% of data values will fall within 2 standard deviations of the mean of the data set.

  6. Examples: • Suppose that a variable has a mean of 70 and a standard deviation of 1.5. At least 75% of data values fall between 67 and 73 (2 standard deviations from the mean) • What percent of the data values will fall within 3 standard deviations of the mean?

  7. Price of Homes • The mean price of houses in a certain neighborhood is $50,000, and the standard deviation is $10,000. Find the price range fro which at least 75% of the houses will sell.

  8. Travel Allowances • A survey of local companies found that the mean amount of travel allowance for couriers was $0.25 per mile. The standard deviation was $0.02. Using Chebyshev’s theorem, find the minimum percentage of the data values that will fall between $0.20 and $0.30.

  9. The Empirical (normal) rule • A distribution that is bell-shaped is called normal • Approximately 68% of the data values will fall within 1 standard deviation of the mean • Approximately 95% of the data values will fall within 2 standard deviation of the mean • Approximately 99.7% of the data values will fall within 3 standard deviation of the mean

  10. Work Hours for College Faculty The average full-time faculty member in a post-secondary degree-granting institution works an average of 53 hours per week. • If we assume the standard deviation is 2.8 hours, what percentage of faculty members work more than 58.6 hours a week? • If we assume a normal distribution, what percentage of faculty members work more than 58.6 hours a week?

  11. Try it! • Pg. 145 #1-4

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