Figuring percentages is determining how many of something is per 100. For example, 50 percent is the same as 50 per 100.
Know MoreTo determine the number when giving the percentage, the formula "percent / 100 x the number" is used. For instance, to determine 50 percent of 80, users would divide 50 by 100 and multiply the answer by 80. Written out it is 50 / 100 x 80 = 40, so 50 percent of 80 is 40.
To determine the percentage of something, users should first set up a fraction. For example, if 30 of the 300 people showed up for the event, what is the percentage of people that came? To calculate this, users should first divide 30 by 300 and then multiply the answer by 100. Written out as a formula, it should appear as 30 / 300 x 100 = 10. So 10 percent of the people that were invited came to the event.
Commonly, stores use percentages to reflect sale prices. For instance, a store is holding a sale for 33 percent off an item. If the item is $200, users should determine the price after the discount. This is done by taking the percentage off and dividing it by 100. It is then multiplied by the price of the item and finally, deducted from the price. The formula is 33 / 100 x 200 = 66. 200 – 66 = 134. The final price of the item after the discount is $134.
Learn more in StatisticsTo find the line of best fit, create a scatter plot using the available data, then use a pipe cleaner to find the position of a line that is as close to as many of the points as possible. Choose two points along this line to find the equation.
Full Answer >A 95 percent confidence interval is a range in which it is estimated that 95 percent of all future data will fall. The size of the range gives information about the precision of measurements and the certainty of the data.
Full Answer >When the number of classes in a histogram is increased, the data set is divided into more categories, and the histogram gives a more detailed picture of the data distribution. However, if there are too many classes, it becomes difficult to extract useful information from the histogram.
Full Answer >Misleading statistics are statistics that people use to defend bad or misleading arguments, often in an unfair or deceitful way. Bad sampling, whether due to bias or skewed sample sizes, can lead to a misleading statistic.
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