In a hypothesis test, if the test statistic is in the rejection region, what does it mean? 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. ...
For example, if the null hypothesis, denoted by {eq}H_o{/eq} says {eq}\mu = 25{/eq}, the alternative hypothesis which is given by {eq}H_a{/eq} must be {eq}\mu\ne 25{/eq}. Answer and Explanation:
hypothesis can be as yet untested; can have already been tested; may have been falsified; may have not yet been falsified, although tested; or may have been tested in a myriad of ways countless times without being falsified; and it may come to be universally accepted by the scientific ...
you have a theory that the students are performing poorly because their classroom is not as well ventilated as the other classrooms in the school. The accepted theory (“low test scores are due to poor teacher performance”) is thenull hypothesis; your theory (“low test scores are due to ...
For {eq}H_0 : \Pi = 0.70 {/eq}, with {eq}\alpha = 0.05 {/eq}, using {eq}p = 0.85 {/eq} and {eq}n = 100 {/eq}, what is the decision regarding the null hypothesis? Hypothesis testing Hypothesis testing is a statistical method which is...
Falsifiability is often closely linked with the idea of thenull hypothesisin hypothesis testing. The null hypothesis states the contrary of an alternative hypothesis. It provides the basis of falsifiability, describing what the outcome would demonstrate if the prediction of the alternative hypothesis is...
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If the sample being tested falls into either of the critical areas, the alternative hypothesis is accepted instead of the null hypothesis. By convention two-tailed tests are used to determine significance at the 5% level, meaning each side of the distribution is cut at 2.5%. ...
Based on the results, the assumed null hypothesis is accepted or rejected. If the null hypothesis is rejected, it indicates that data readings are strong and are probably not due to chance. Null hypothesis rejected: Differences are statistically significant ...
Beta risk is the probability that a falsenull hypothesiswill be accepted by a statistical test. This is also known as aType II erroror consumer risk. In this context, the term "risk" refers to the chance or likelihood of making an incorrect decision. The primary determinant of the amount ...