ow Help 100% , Ti virtualcampuspupredu 0-81-SJU Once you have answered all the q
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ow Help 100% , Ti virtualcampuspupredu 0-81-SJU Once you have answered all the questions you have to send the work the Attach File function in Black Board to attach your document and send it to the professor. To use the Attach File enter the Course Content in Black Board. Select the Assignment Module 8, attach the file and submit To compute the type 1 error of hypothesis testing lets vary the sample size of the textbook example of the mean burn of the sample of propellants. Remember that in the textbook example if the mean sample result is less than 48.5 cm /sec, we reject the null hypothesis. The same happens if the result of the mean sample is greater than 51.5 we reject the null hypothesis The question was; what is the probability of rejecting the null hypothesis? Using the equation of the central limit theorem and the concepts of the normal distribution we made the following computation Z- (485-50)/25/10)190 Z (515-50)/ (2.5/v10) +1.90 P(Zs 1.90)+ P(Z 190) 00574 (the sum of the two tails) Therefore, the probability of rejection of the null hypothesis, as well as the When finished, make sure to click Submit. Optionally, click Save as Draft to save changes and continue working later, or elick Cancel to quit uthout s changes. Cancel Save DraftExplanation / Answer
1) False, the probability will be less
2) True, the probability will be more
3)
The power of a statistical test is the probability that a test will reject the null hypothesis when the null hypothesis is false. That is, power reflects the probability of not committing a type II error. The two major factors affecting the power of a study are the sample size and the effect size.
The larger the sample size is the smaller the effect size that can be detected.
A study that has a sample size which is too small may produce inconclusive results and could also be considered unethical.
Similarly, a study that has a sample size which is too large will waste scarce resources and could expose more participants than necessary to any related risk. Thus an appropriate determination of the sample size used in a study is a crucial step in the design of a study.
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