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- W195343810 abstract "This chapter discusses the testing of some statistical hypotheses. The distribution of the random variable is normal. When the subject of statistical research is an ordinary random variable, there are several methods of testing the hypothesis that the distribution of the population is normal. For statistical research, involving multidimensional random variables, it is more difficult to test the hypothesis that the population is normal. When a population is normal, the regression lines are straight lines; however, when the regression lines are straight lines, the distribution of the population can or cannot be normal. Under these circumstances, the results of testing the hypothesis that the distribution is normal can be of great practical importance. The chapter describes two methods of testing the hypothesis that the distribution of a two-dimensional random variable is normal: (1) testing hypothesis H by rotating the coordinate system and (2) testing the hypothesis H by dividing the plane into quadrants." @default.
- W195343810 created "2016-06-24" @default.
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- W195343810 date "1963-01-01" @default.
- W195343810 modified "2023-09-27" @default.
- W195343810 title "ON TESTING CERTAIN STATISTICAL HYPOTHESES" @default.
- W195343810 doi "https://doi.org/10.1016/b978-1-4832-0073-6.50007-x" @default.
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