Descriptive statistics percentiles

• Percentiles are used to understand and interpret data. They indicate the values below which a certain percentage of the data in a data set is found. • Percentiles can be calculated using the formula n = (P/100) x N, where P = percentile, N = number of values in a data set (sorted from smallest to largest), and n = ordinal rank of a given value.Percentiles indicate the percentage of scores that fall below a particular value. They tell you where a score stands relative to other scores. For example, a person with an IQ of 120 is at the 91 st percentile, which indicates that their IQ is higher than 91 percent of other scores.Percentiles divide ordered data into hundredths. To score in the 90 th percentile of an exam does not mean, necessarily, that you received 90% on a test. It means that 90% of test scores are the same or less than your score and 10% of the test scores are the same or greater than your test score.Percentiles are values that separate the data into 100 equal parts. For example, The 95th percentile separates the lowest 95% of the values from the top 5% The 25th percentile (P 25%) is the same as the first quartile (Q 1). The 50th percentile (P 50%) is the same as the second quartile (Q 2) and the median.In statistics, a percentile is a term that describes how a score compares to other scores from the same set. While there is no universal definition of percentile, it is commonly expressed as the percentage of values in a set of data scores that fall below a given value.