Survey

* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project

Document related concepts

Transcript

Descriptive Statistics Objectives: (Chapter 3, Decoursey) - To understand the definition of , median, variance, standard deviation, mean absolute deviation and coefficient variation and calculate these quantities. - To calculate some of these quantities using the statistical functions of . Descriptive Statistics Arithmetic Mean: 1 x or N x i x xi is the mean of a sample. is the mean of a population. is the ith data point in the sample or population. N is the total number of data points. Descriptive Statistics Median: If all the items with which we are concerned are sorted in order of increasing (size), from the smallest to the largest, then the median is the middle item. If the number of the items is odd, the median is the middle item. e.g. 12, 13, 21, 27, 31 The median is . If the number of the items are even, the median is given by the arithmetic mean of the two middle items. e.g. 12, 13, 21, 27, 33, 37 The median is (21+27)/2=24. Descriptive Statistics Variance: it is the mean of the squares of the deviations of each measurement from the mean of the population. N 2 (x i 1 i ) 2 N σ2 stands for the variance of the . Standard Deviation: A representative of the deviations from the mean. N (x i 1 i ) N 2 Descriptive Statistics Estimation of variance from a sample by Bessel’s N correction: N/(N-1). 2 ( xi x ) (Sample Variance) s 2 i 1 N 1 s2 stands for the variance of the sample. Sample Standard Deviation: N s (x i 1 i x) N 1 2 Descriptive Statistics shows the variability of the data by simple calculation though it is not related to the parameters of theoretical distributions. N x i 1 i x /N Descriptive Statistics Coefficient of Variation is the ratio between the standard deviation and the mean for the same set of data, expressed as a percentage. / or s/ x