Unit 6A Characterizing Data Ms. Young.

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Presentation transcript:

Unit 6A Characterizing Data Ms. Young

Definition The distribution of a variable (or data set) describes the values taken on by the variable and the frequency (or relative frequency) of these values. Ms. Young

Measures of Center in a Distribution The mean is what we most commonly call the average value. It is defined as follows: The median is the middle value in the sorted data set (or halfway between the two middle values if the number of values is even). The mode is the most common value (or group of values) in a distribution. Ms. Young

Mean vs. Average Ms. Young

Finding the Median for an Odd Number of Values Example: Find the median of the data set below. 6.72 3.46 3.60 6.44 26.70 (data set) 3.46 3.60 6.44 6.72 26.70 (sorted list) (odd number of values) median is 6.44 exact middle Ms. Young

Finding the Median for an Even Number of Values Example: Find the median of the data set below. 6.72 3.46 3.60 6.44 (data set) 3.46 3.60 6.44 6.72 (sorted list) (even number of values) 3.60 + 6.44 2 median is 5.02 Ms. Young

Finding the Mode Example: Find the mode of each data set below. Mode is 5 Bimodal (2 and 6) No Mode a. 5 5 5 3 1 5 1 4 3 5 b. 1 2 2 2 3 4 5 6 6 6 7 9 c. 1 2 3 6 7 8 9 10 Ms. Young

Effects of Outliers An outlier is a data value that is much higher or much lower than almost all other values. Consider the following data set of contract offers: $0 $0 $0 $0 $2,500,000 The mean contract offer is As displayed, outliers can pull the mean upward (or downward). The median and mode of the data are not affected. Ms. Young

Shapes of Distributions Two single-peaked (unimodal) distributions A double-peaked (bimodal) distribution Ms. Young

Symmetry A distribution is symmetric if its left half is a mirror image of its right half. Help students make connections between the overall distribution and the mean, median, mode and outliers of a population or data set. You may want to use concrete examples such as physical heights tend to be symmetrically distributed whereas the annual salaries of a medium-sized company may be right-skewed due to high-paying salaries of management. Ms. Young

Skewness A distribution is left-skewed if its values are more spread out on the left side. A distribution is right-skewed if its values are more spread out on the right side. Help students make connections between the overall distribution and the mean, median, mode and outliers of a population or data set. You may want to use concrete examples such as physical heights tend to be symmetrically distributed whereas the annual salaries of a medium-sized company may be right-skewed due to high-paying salaries of management. Ms. Young

Variation Variation describes how widely data values are spread out about the center of a distribution. From left to right, these three distributions have increasing variation. Ms. Young