測繪工程專業(yè)英語第九單元-wenkub
2023-05-24 16:25:25 本頁面
【正文】 mal random variable . It is important to notice that the total area of the vertical bars for each plot equals 1 . This is true no matter the value of n (the number of single bined measurements) , and thus the area under the smooth normal error distribution curve is equal to 1 . If an event has a probability of 1 , it is certain to occur, and therefore the area under the curve represents the sum of all the probabilities of the occurrence of errors . A nu mber of properties that relate a random variable and its probability density function are useful in our understanding of its behavior . M ean and standard deviation are two most popular statistical properties of a rando m variable . Generally, a rando m variable w hich is norm ally distributed with a m ean and standard deviation can be written in sy m bol for m as N (μ ,σ 2 ) . T hey can be explained as follo ws . M ean: T he m ost co m m only used m easure of central tendency is the m ean of a set of data (a sa m ple) . T he concept of m ean refers to the m ost probable value of the rando m variable . It is also called by any of the several ter m s— expectation , expected value , m ean or average . T he m ean is defined as 36 English for Geo m atics Engineering 測繪工程專業(yè)英語 x = 1 nΣ n i = 1 xi w here xi are the observations, n is the sa m ple size , or total nu m ber of observations in the sa m ple , and x is the m ean w hich is also called m ost probable value ( M P V ) .T he M P V is the closest
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