 2012 Pearson Education, Inc. Slide 12-2-1 Chapter 12 Statistics.

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 2012 Pearson Education, Inc. Slide Chapter 12 Statistics

 2012 Pearson Education, Inc. Slide Chapter 12: Statistics 12.1 Visual Displays of Data 12.2 Measures of Central Tendency 12.3 Measures of Dispersion 12.4 Measures of Position 12.5The Normal Distribution

 2012 Pearson Education, Inc. Slide Section 12-2 Measures of Central Tendency

 2012 Pearson Education, Inc. Slide Mean Median Mode Central Tendency from Stem-and-Leaf Displays Symmetry in Data Sets Measures of Central Tendency

 2012 Pearson Education, Inc. Slide For a given set of numbers, it may be desirable to have a single number to serve as a kind of representative value around which all the numbers in the set tend to cluster, a kind of “middle” number or a measure of central tendency. Three such measures are discussed in this section. Measures of Central Tendency

 2012 Pearson Education, Inc. Slide The mean (more properly called the arithmetic mean) of a set of data items is found by adding up all the items and then dividing the sum by the number of items. (The mean is what most people associate with the word “average.”) The mean of a sample is denoted (read “x bar”), while the mean of a complete population is denoted (the lower case Greek letter mu). Mean

 2012 Pearson Education, Inc. Slide The mean of n data items x 1, x 2,…, x n, is given by the formula We use the symbol for “summation,” (the Greek letter sigma). Mean

 2012 Pearson Education, Inc. Slide Solution Ten students in a math class were polled as to the number of siblings in their individual families and the results were: 3, 2, 2, 1, 3, 6, 3, 3, 4, 2. Find the mean number of siblings for the ten students. The mean number of siblings is 2.9. Example: Mean Number of Siblings

 2012 Pearson Education, Inc. Slide The weighted mean of n numbers x 1, x 2,…, x n, that are weighted by the respective factors f 1, f 2,…, f n is given by the formula Weighted Mean

 2012 Pearson Education, Inc. Slide In a common system for finding a grade-point average, an A grade is assigned 4 points, with 3 points for a B, 2 for C, and 1 for D. Find the grade-point average by multiplying the number of units for a course and the number assigned to each grade, and then adding these products. Finally, divide this sum by the total number of units. This calculation of a grade-point average in an example of a weighted mean. Example: Grade Point Average

 2012 Pearson Education, Inc. Slide Find the grade-point average (weighted mean) for the grades below. CourseGrade PointsUnits (credits) Math4 (A)5 History3 (B)3 Health4 (A)2 Art2 (C)2 Example: Grade Point Average

 2012 Pearson Education, Inc. Slide Solution CourseGrade PtsUnits(Grade pts)(units) Math4 (A)520 History3 (B)39 Health4 (A)28 Art2 (C)24 Grade-point average = Example: Grade Point Average

 2012 Pearson Education, Inc. Slide Another measure of central tendency, which is not so sensitive to extreme values, is the median. This measure divides a group of numbers into two parts, with half the numbers below the median and half above it. Median

 2012 Pearson Education, Inc. Slide To find the median of a group of items: Step 1Rank the items. Step2If the number of items is odd, the median is the middle item in the list. Step 3If the number of items is even, the median is the mean of the two middle numbers. Median

 2012 Pearson Education, Inc. Slide Solution Ten students in a math class were polled as to the number of siblings in their individual families and the results were: 3, 2, 2, 1, 1, 6, 3, 3, 4, 2. Find the median number of siblings for the ten students. In order: 1, 1, 2, 2, 2, 3, 3, 3, 4, 6 Median = (2+3)/2 = 2.5 Example: Median

 2012 Pearson Education, Inc. Slide Position of median = Notice that this formula gives the position, and not the actual value. Position of the Median in a Frequency Distribution

 2012 Pearson Education, Inc. Slide Find the median for the distribution. Value12345 Frequency43268 Position of median = The median is the 12 th item, which is a 4. Solution Example: Median for a Distribution

 2012 Pearson Education, Inc. Slide The mode of a data set is the value that occurs the most often. Sometimes, a distribution is bimodal (literally, “two modes”). In a large distribution, this term is commonly applied even when the two modes do not have exactly the same frequency Mode

 2012 Pearson Education, Inc. Slide Solution Ten students in a math class were polled as to the number of siblings in their individual families and the results were: 3, 2, 2, 1, 3, 6, 3, 3, 4, 2. Find the mode for the number of siblings. 3, 2, 2, 1, 3, 6, 3, 3, 4, 2 The mode for the number of siblings is 3. Example: Mode for a Set

 2012 Pearson Education, Inc. Slide Solution The mode is 5 since it has the highest frequency (8). Find the median for the distribution. Value12345 Frequency43268 Example: Mode for Distribution

 2012 Pearson Education, Inc. Slide We can calculate measures of central tendency from a stem-and-leaf display. The median and mode are easily identified when the “leaves” are ranked (in numerical order) on their “stems.” Central Tendency from Stem-and-Leaf Displays

 2012 Pearson Education, Inc. Slide Below is a stem-and-leaf display of some data. Find the median and mode. Median Mode Example: Stem-and-Leaf

 2012 Pearson Education, Inc. Slide The most useful way to analyze a data set often depends on whether the distribution is symmetric or non-symmetric. In a “symmetric” distribution, as we move out from a central point, the pattern of frequencies is the same (or nearly so) to the left and right. In a “non-symmetric” distribution, the patterns to the left and right are different. Symmetry in Data Sets

 2012 Pearson Education, Inc. Slide Some Symmetric Distributions

 2012 Pearson Education, Inc. Slide A non-symmetric distribution with a tail extending out to the left, shaped like a J, is called skewed to the left. If the tail extends out to the right, the distribution is skewed to the right. Non-symmetric Distributions

 2012 Pearson Education, Inc. Slide Some Non-symmetric Distributions