Weighted mean example
[DOC File]Algebra: Average Word Problems
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Weighted Mean: When the values of data set are varying in their degree of importance, we may want to weight them accordingly. Weighted mean: Example 6: Find the mean of 3 tests with scores of 85, 90, 75 where the first test counts for 20%, second test counts for 30%, and the third test counts for the 50%. 3-3 Measures of variation
[DOC File]California State University, Northridge
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The weighted mean formula is commonly used to find the mean for a frequency distribution. In this case, the weighting factors are the frequencies. Median of frequency table. Example. Find the mean, median and modal salary for a small company that pays annual salaries to its employees as shown in the frequency distribution in the margin. Solution
Weighted Mean - Definition, Uses, and Practical Example
Weighted Mean:. Note: when data values vary in importance, the analyst must choose the weight that best reflects the importance of each data value in the determination of the mean. Example 5: The following are 5 purchases of a raw material over the past 3 months. Purchase Cost per Pound ($) Number of Pounds 1 3.00 1200 2 3.40 500 3 2.80 2750 4
[DOC File]Calculating Area Weighted Means - Cornell University
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To find the weighted term, multiply each term by its weighting factor, which is the number of times each term occurs. The formula for weighted average is: Example: A class of 25 students took a science test. 10 students had an average (arithmetic mean) score of 80. The other students had an average score of …
[DOC File]3 - THU
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To calculate the area-weighted means, you need two polygon based maps, one containing the values to be averaged (in the example below, “ann_grid_deposition” containing various N deposition estimates on a grid) and another that works as the zonal polygon (in the example below, “nebasin_deposition” containing watershed boundaries):
[DOC File]Chapter 13
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Sum the weights, too. Then divide the first sum by the sum of weights and you’ll have the weighted mean: You can compute weighted mean for populations and samples. We will go over this with an example in class. The difference between these 2 formulas is simply the source of information and the symbol for the weighted mean ( ) or X bar ...
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