can someone produce a type 1 and type 2 error chart for this? What are the conse
ID: 3354363 • Letter: C
Question
can someone produce a type 1 and type 2 error chart for this? What are the consequences of the error?
Explanation / Answer
Research method should capture the answers to falsify the research questions and the treatment designed shall nullify the consequences in question here in the list below. 1 Sample Small number of young healthy people -50 Nos. Research question Is there any possible harm, side effects and damage to young healthy people? Sample Size of 500 numbers Research question is the treatment effective and no side effects? Sample Size of 1000 numbers Research question Is the treatment bettern than the other possible existing treatments? 2 Research question Is the drug that affects the various parts of the body? Consequences What are effects of the drug on various body parts? Research question Is the drug that affects the humans in the long run on the weekly or monthly? Consequences What are effects of the drug in the long term on weekly and on monthly basis? Research question is the treatment effective and no side effects? Consequences How effective is the drug at treating the diseases? Research question Is the treatment safe in the long term? Consequences What are the long term safey issues of the treatment? 3 Research question Is it the right stage to give the drug? Consequences What are the different stages of the desease that are suitable for the drug be given? Research question is the treatment that has no side effects? Consequences What are the side effects on the long term doses of the drug? Final Claim Research question Is it deemed to be safe if the drug passes the above two tests? Actual null hypothesis situation Drug is not safe even if it passes all the test. Is it true or false? Null hypothesis TRUE FALSE Accept Correct decision Type II Reject Type I Correct Decision Test result P-value 0.05 P-value > 0.05 Significance test at =0.05 Statistically significant Statistically is not significant Type I error We can not say that the answer to the null hypothesis actual situation is true. Means that there is a Type I error if the test results fall below the level of significance. Type I error We can not say that the answer to the null hypothesis actual situation is false. Means that there is a Type II error if the test results fall above the level of significance. Decision with Type I error But we can claim that there is sufficient to reject the null hypothesis and accept the alternative hypothesis. Decision with Type II error But we can claim that there is insufficient evidence to reject the null hypothesis.
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