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.
In a court trial when a criminal brought to curt it is assumed that he is guilty
null hypothesis: person is guilty
alternate hypothesis : person is not guilty
The test or trials are done to reject or accept the null hypothesis.
Since earlier being guilty was assumed hence the result is declared as not guilty ( since we were checking for this only ) and not innocent
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...
Question: Hypothesis Testing test the following: Hypothesis Testing test the following: Determine if there is sufficient evidence to conclude the average amount of births is over 8000 in the United States and territories at the 0.05 level of significance. Sample Size is 52 (states and US territories) Mean: 6,869 Median: 6,869 Standard Deviation: 8,100 Minimum: 569 Maximum : 45,805 Clearly state a null and alternative hypothesis. Give the value of the test statistic. Report the P-Value. Clearly state your conclusion...
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?
Problem 4: One Sample T-Tests. For the following investigations, include all Steps of Hypothesis Testing Investigation A: A university wants to see if their statistics lab instructors receive student ratings that are higher than the population mean of 5.0. For a sample of 30 statistics lab instructors from that university. M= 5.3 and S- i. Conduct the appropriate statistical test using α-05 Investigation B. A researcher wants to see if children with autism are different than the population mean of...