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The Mean and Standard Deviation

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This chapter covers the essential concepts of mean and standard deviation, crucial for analyzing data effectively. It outlines key learning objectives: calculating the mean, standard deviation, considering possible transformations, and using appropriate units. The process of variance calculation is explained step-by-step, leveraging examples to illustrate how to handle skewed distributions. Transformations like natural logarithm and square root are discussed to achieve a more symmetric distribution. The summary emphasizes how these statistical measures influence data interpretation and analysis.

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The Mean and Standard Deviation

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  1. The Mean and Standard Deviation Chapter 2

  2. Learning Objectives 1. calculate the mean of a variable 2. calculate the standard deviation of variable 3. think about possible transformations 4. remember to use the correct units

  3. Example: NimChimpsky

  4. The Mean

  5. The Variance and Standard Deviation 1 Subtract the mean of the variable from each value. 2 Multiply this value by itself; in other words, square it. 3 Add these values together. 4 Divide by the number of cases minus one. 

  6. Younger 4 3 4 5 3 7 4 6 6 5 Older 5 1 9 6 4 4 10 7 4 10 (xi - mean) = (xi - mean)2 = (4-4.7) = -0.7 0.49 (3-4.7) = -1.7 2.89 (4-4.7) = - 0.7 0.49 (5-4.7) = 0.3 0.09 (3-4.7) = - 1.7 2.89 (7-4.7) = 2.3 5.29 (4-4.7) = -0.7 0.49 (6-4.7) = 1.3 1.69 (6-4.7) = 1.3 1.69 (5-4.7) = 0.3 0.09 Sum (Σ) 0 16.10 minutes squared

  7. Standard deviation units are the same as the original variable.

  8. Transforming data • Often distributions have long tails in the positive direction (called positive skew) • The ln and square root transformations often used to make the distribution more symmetric. • Sometimes a starting value is used. • Chile data set.

  9. Summary • Mean is one measure of the center of the data. It is influenced by outliers. • Variance and standard deviation are measures of the spread of a distribution. • Some distributions are skewed. For positively skewed data the natural logarithm and the square root are often used.

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