we can take an example " In the case of adultration in newly introduced vitamin capsule, court will take strict action against pharma company if it effect more than 20% of people , you conduct a research and found that 15 or 250 people got effected by vitamin capsule, is it sufficient evidence for the the court to take strict action against pharma company"
in the above problem of hypothesis we have two option only we can tell if " take strict action against pharma company or fail to take take strict action "
we can't give exact result in hypothesis testing like he is 19 % guilty ....we can tell only if it is fail to be guilty or guilty.
as the example problem you have sample proportion, from it you need to compare it with population, then calculate test statistics, after it p-value . to make decision need to compare p-value and alpha.
if alpha is greater than p-vaule we reject null hypothesis and alternate hypothsis become true.
if alpha is smaller than p-vle we fail to reject null hypothisis and cant make any conclusion about altername hypothisis.
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Explain how a court trial is like hypothesis testing. Include the steps of a hypothesis test...
Explain how a court trial is like hypothesis testing. Include the steps of a hypothesis test and why a verdict is “not guilty” instead of innocent.
This problem is designed to give you an understanding of the methodology behind hypothesis testing. Ever wonder how someone in America can be arrested if they really are presumed innocent, why a defendant is found not guilty instead of innocent, or why Americans put up with a justice system which sometimes allows criminals to go free on technicalities? These questions can be understood by understanding the similarity of the American justice system to hypothesis testing in statistics and the two...
Hi guys please assist me answering the above questions in detailed. Thank you! Errors in Hypothesis Testing and Criminal Court Trials A criminal court trial is rife with hypothesis test errors. The person charged with committing criminal activity (the defendant) must prove his or her innocence or be sentenced to serve time in prison. Given that in the United States a person is assumed innocent until proven guilty, the null hypothesis (Ho) and alternative hypothesis (Ha) for a criminal court...
In the U.S. court system, a defendant is assumed innocent until proved guilty. Suppose that you regard a court trial as a hypothesis test with null and alternative hypotheses: Null: Defendant is innocent Alternative: Defendant is guilty a. Explain the meaning of a Type I error b. Explain the meaning of a Type II error c. If you were the defendant, would you want alpha to be large or small? Explain your answer. d. If you were the prosecuting attorney,...
The notion of Type I and Type II Errors is very important in hypothesis testing. The Ho/Ha should be set up such that a Type I Error is more serious than a Type II Error. A common example used to discuss Type I and Type II errors is the example of a trial in the US. Under US law, a defendant is considered "innocent until proven guilty." You could set up this hypothesis test as follows: Ho: defendent is...
1) Determine whether each of the following applies to the mull or the alternative hypothesis. A) Ho B) Ha or H C) The hypothesis that has equality (i.e. no difference). D) The hypothesis that has no equality (i.e. greater, less, or different). E) The hypothesis we assume is true until we have evidence to reject it. F) The research hypothesis. The goal in a hypothesis test is to test a claim. hypothesis. hypothesis. G) The statistical evidence can only support...
1. What are null hypothesis and alternative hypothesis? 2. Inastatisticaltest,wehavethechoiceofatwo-tailedtest,aleft- tailed test, or a right-tailed test. Which hypothesis is the determining factor for choosing the direction of the test? (In other words, how would you decide it) 3. Forthesamesampledataandnullhypothesis,howdoesthe P-value for a two-tailed test compare to that for a one-tailed test? 4. Using P-value method, how would you reject or fail to reject the null hypothesis? (what is the decision criteria?) How does level of significance matter to the hypothesis...
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Discuss the five steps in hypothesis testing, citing examples where necessary. Define null and research hypotheses. Explain how to prepare data for hypothesis testing. Describe exploratory data analysis as a prelude to hypothesis testing. Distinguish between Type I and II errors. What are the implications of each?
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