![]() , wn, then the weighted average of percentages is equal to (a1 * w1 + a2 * w2 + a3 * w3 +. What is the weighted average of percentages? Also, learn the formula to calculate it with some worked-out exampleĤ. Make use of the average percentage calculator provided by the and easily average 3 percentages with detailed solutions. Write the number represented by each decimal number. For example, to calculate the average of 30 of 50 and 20 of 80, we convert them into their decimal forms which are 0.3 and 0.2 respectively. Convert the percentage into decimal numbers. For example: If you have two percentages like 50% and 60%, then calculating the percentage averages is possible by 50% + 60%/2 = 110%/2 = 55%. Here are the steps to calculate the average of the given percentages. To find the percentage averages for the same samples, you have to add the given percentages and divide them by the total number of samples. How do you calculate the average percentage with the same sample size? How do you average multiple percentages?īy using the average percentage formula ie., x 100, you can easily average multiple percentages.Ģ. Therefore, the average percentage of products sold by the company is 67%.ġ. Now, add the total amount of products produced from each categoryįinally, you can get the average percentage value by dividing the above results, and multiplying with 100.Īverage Percentage = x 100 In the next step, multiply the above decimals by total products Īdd these two percentages of products produced from each category ![]() There are many reasons for calculating percentage errors. ![]() We get 75% in decimal is 0.75 and 60% in decimal is 0.60 A percentage error provides an easy-to-understand measure of error margins. Now, convert these two percentages into decimals Given data are 400 products and 500 products Let's find out the average percentage of products sold by the company. Again, a company produces 500 products and 60% of them are sold. Example 1: If a company is producing 400 products and sold 75% of them in the first category. ![]()
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