Hypothesis testing in statistics

1. When evaluating the results of the use of one of our one hypothesis tests we can use either the critical value method or the p-value method. While both methods will reach the same conclusion as to whether to reject or not reject our null hypothesis, most researchers prefer the p-value test. Why is this preferred over the critical value tests? Your initial response is due no later than Saturday, October 20. – 100 words 2. Read Sections 9.1-9.5 in Ch. 9 of Business Statistics: For Contemporary Decision Making. Consider the following as you read:- 80 words 3. Is there anything we can do to measure the likelihood of these errors (type I and type II errors) and thereby reduce the chance of these errors occurring? – 100 words 4. The size of the sample plays a major role in this type of error. My question is which occurs more Type I or Type II errors? Do you see these types of errors occur in your job industry? – 100 words 5. Relate hypothesis testing in business- 100 words 6. Say something about this post “We learn that hypothesis testing in statistics is a method used to make decisions and it is used to approve or disprove claims. Hypothesis testing allows us to test various different theories. For example, some decisions we try and make using hypothesis testing is which route is quicker to get home from work , route a or route b. There are three types of hypothesis testing : research hypotheses, statistical hypotheses and substantive hypotheses. Research hypotheses is when what we think will happen once an experiment is taken place. The research hypotheses is the closest to what we learned from the scientific method as we were growing up in grade school. An example of research hypotheses is , There are more younger people in the work place then there are older people.” Give example if necessary – 80 words