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- W89269478 abstract "This chapter discusses statistical tests of hypotheses. It focuses on significance testing and describes drawing inferences about populations from observed samples. Significance tests discussed in the chapter are concerned with decisions on parameters rather than decisions on the type of population. For the normal population, the parameters are μ and α, while for the binomial and Poisson, they are Φ and μ, respectively. The chapter describes two approaches that may be used. The null hypothesis value of the parameter, the sample size, and the α risk may be set. Then the OC curve may be sketched and whether it gives a good balance between sampling costs and n versus protection against wrong decisions may also be seen. If not, then one must adjust n and/or α. The second approach is to set two levels of the parameter in question and corresponding α and β risks and then find the needed sample size and critical value for the statistic to be used. Thus, in this case, two points on the OC curve are specified." @default.
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- W89269478 date "1974-01-01" @default.
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- W89269478 title "STATISTICAL TESTS OF HYPOTHESES–GENERAL AND ONE SAMPLE" @default.
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- W89269478 doi "https://doi.org/10.1016/b978-0-12-146150-8.50014-1" @default.
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