STATISTICS. Solved problems and exercises Part 2

dc.contributor.authorAliyev H.N.
dc.date.accessioned2023-04-10T08:38:45Z
dc.date.available2023-04-10T08:38:45Z
dc.date.issued2009
dc.description.abstractInferential statistics consists of methods that use sampie results to help make decisions or predictions about a population. The point and interval estimatıon procedures are forms of statistical inference. Another type of statistical inference is hypothesis testing. In hypothesis testing we begin by stating a hypothesis about a population characteristic. This hypothesis, called the null hypothesis, is assumed to be true unless suffıcient evidence can be found in a sampie to reject it. The situation is quite similar to that in a criminal trial. The defendant is assumed to be innocent; if suffıcient evidence to the contrary is presented, however, the jury will reject this hypothesis and conclude that the defendant is guilty. In statistical hypothesis testing, often the null hypothesis is an assumption about the value of a population parameter. A sampie is selected from the population, and a point estimate is computed. By comparing the value of the point estimate to the hypothesized value of the parameter we draw a conclusion with respect to whether or not there is a suffıcient evidence to reject the null hypothesis. A decision is made and often a specific action is taken depending upon wlıether or not the null hypothesis about the population parameter is accepted or rejected.
dc.identifier.citationStatistic. Solved problems and exercises. Part 2. — Алматы, 2009, H.N.Aliyev
dc.identifier.isbn9965-9605-7-7
dc.identifier.urihttps://repository.sdu.edu.kz/handle/123456789/425
dc.publisherSuleyman Demirel University
dc.subjectStatistic
dc.subjecthypothesis testing
dc.subjectsimple linear regression
dc.subjectmultiple regression analysis
dc.titleSTATISTICS. Solved problems and exercises Part 2
dc.typeBook
dspace.entity.type

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