Figuring percentages is determining how many of something is per 100. For example, 50 percent is the same as 50 per 100.Know More
To 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 about Statistics
Mathigon notes that studying probability is necessary in order to better understand the likelihood of a particular thing happening. An individual is able to better calculate such likelihoods if he has more information and context about the subject he is attempting to predict.Full Answer >
Descriptive statistics are statistics that describe the central tendency of the data, such as mean, median and mode averages. Variance in data, also known as a dispersion of the set of values, is another example of a descriptive statistics. Greater variance occurs when scores are more spread out from the mean. Descriptive statistics summarize data.Full Answer >
According to the University of Connecticut, the criterion variable is the dependent variable, or Y hat, in a regression analysis. The criterion variable is the variable that the analysis predicts. The number given from the analysis fits into the regression line.Full Answer >
Although simple random samplings are a common research method, they are expensive to use, extremely time consuming and difficult to organize. A simple random sampling requires a complete list of all members of the target population so that the sample is a real representation of the larger group. Each individual in the population has the same chance of becoming part of the sample. All possible combinations of the sample are equally likely to occur, as well.Full Answer >