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GITNUX MARKETDATA REPORT 2024

Quartile Statistics: Market Report & Data

Statistic 1

"The concept of quartiles was introduced by Sir Francis Galton in the late 19th century."

Statistic 2

"Quartiles are widely used in descriptive statistics."

Statistic 3

"The upper quartile (Q3) minus the lower quartile (Q1) is used to identify outliers."

Statistic 4

"For normally distributed data, Q1 corresponds to a z-score of approximately -0.67."

Statistic 5

"In finance, quartiles can be used to rank the performance of investment funds."

Statistic 6

"Quartile formulas differ slightly depending on whether the data set is continuous or discrete."

Statistic 7

"Quartiles are used in box-and-whisker plots to show the distribution of a data set."

Statistic 8

"Interquartile range (IQR) is the difference between the third and first quartiles (Q3 - Q1)."

Statistic 9

"For skewed data, quartiles provide a better measure of central tendency than the mean."

Statistic 10

"Quartiles can be used in conjunction with other measures like mean and standard deviation to better describe data."

Statistic 11

"The first quartile (Q1) marks the 25th percentile of the data set."

Statistic 12

"Quartiles help identify the spread and central tendency of the data."

Statistic 13

"Quartiles are useful in reporting standardized test scores to see the distribution of results."

Statistic 14

"The term 'quartile' is derived from the Latin word *quartus*, meaning fourth."

Statistic 15

"Quartiles are a type of quantile that divide a data set into four equal parts."

Statistic 16

"Quartile deviation is half the difference between the first and third quartiles (Q3 - Q1)."

Statistic 17

"The third quartile (Q3) marks the 75th percentile."

Statistic 18

"The second quartile (Q2), also known as the median, marks the 50th percentile."

Statistic 19

"Quartile measurements are non-parametric, making no assumptions about the distribution of the data."

Statistic 20

"Quartiles are essential for understanding the dispersion within a data set."

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