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3.2 Measures of Variability

3.2 Measures of Variability. Objectives: By the end of this section, I will be able to… Understand and calculate the range of a data set. Explain in my own words what a deviation is. Calculate the variance and the standard deviation for a population or a sample. What is variation ? .

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3.2 Measures of Variability

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  1. 3.2 Measures of Variability Objectives: By the end of this section, I will be able to… • Understand and calculate the range of a data set. • Explain in my own words what a deviation is. • Calculate the variance and the standard deviation for a population or a sample.

  2. What is variation? It is the spread of the numbers around the mean.

  3. Measures of Variation • Variance • Standard Deviation • Range Highest – Lowest

  4. Why is VARIATION important? Because less variation means smaller spread in the data, which means • More precise estimates • Higher confidence in our conclusions about the data

  5. Wall Street Journal competition • Stocks were chosen by • Journal staff randomly throwing darts at a list of the stocks • A team of four financial experts • The DJIA (Dow Jones Industrial Average)

  6. THE RESULTS ARE…

  7. Variations and Graphs

  8. Measuring V-Span 1. Make a V between your index finger and your middle finger when you spread them as far as possible. 2. Measure to the nearest tenth of a centimeter. Your V-Span = 3. Compute the group’s mean V-Span. Mean V-Span = 4. Now fill out the following chart with your data and find the three values of variation

  9. Then use the mean (average V-span) and find the difference between each x value and the mean Square the number you just found… Put in all of your V-spans as x values. Add rows as necessary. Variance = Sum/(n – 1) Standard deviation = Square ROOT of the variance

  10. Calculator Time • Find the variance and standard deviation on your calculator.

  11. NASCAR TIME - link • On a separate sheet of paper, and one per person – NEATLY complete the following. • Find the mean, median, mode, range, variance, and standard deviation of NASCAR points of the top 10 drivers for 2010.

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