A. The null hypothesis is accepted. B. The alternative hypothesis is accepted. C. The test is inconclusive. D. A new sample needs to be taken. 相关知识点: 试题来源: 解析 B。如果检验统计量在拒绝域,意味着拒绝原假设,接受备择假设。反馈...
Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is most often used by scientists to test specific predictions, called hypotheses, that arise from theories. There are 5 main steps in hypothesis testing: State your research hypothesis as a ...
Free Essay: Hypothesis testing is very essential in statistical analysis. It is quite imperative to state both a null hypothesis and an alternative...
1, pp. 594-595 Study Session 3-11-b Define and interpret a test statistic, a Type I and a Type II error, and a significance level, and explain how significance levels are used in hypothesis testing. When we do not reject a false null hypothesis we have a Type II error....
21 Table 4.2 - Method summary . ... 25 Table 5.1 -‐ Demographic variables . ...
Test Hypothesis: Explained Atest hypothesisis a statement that proposes an explanation using limited scientific evidence. When you see the wordhypothesis, think of the termeducational guess. With a hypothesis you are 'guessing' what may or may not happen after your scientific question is answered....
Left-Tailed and Two-Tailed TestsThis was an example of a left tailed test, where the alternative hypothesis claimed that parameter is smaller than the null hypothesis claim.You can check out an equivalent step-by-step guide for other types here:...
hypothesis test. Others would check the shape of the distribution of differences in the sample. If the sample is approximately normal (or at least not heavily skewed), then they view this as a hopeful indication that the distribution in the population will also be approximately normal, and ...
Hypothesis Testing Definition, Steps & Examples from Chapter 10 / Lesson 1 165K Learn the hypothesis testing definition and how to conduct a test using the hypothesis testing steps. Explore hypothesis testing examples for better understanding. Related...
A hypothesis test has a p -value of 1.96%. An analyst should reject the null hypothesis at a significance level of: A. 6%, but not at a significance level of 4%. B. 3%, but not at a significance level of 1%. C. 4%, but not at a significance level of 2%....