There are two-person post and I need to reply both of them. i have to reply their post on discussion board. please send me an answer separately like,

what you like, dislike, agree, disagree or what you want to add more about that topic etc. based on their discussion board question answer.

Reply for person 1………..

Reply for person 2…….

Question: After reading Chapter this week, please provide an example of hypothesis testing (can be simple, yet relevant). Be clear on the general purpose of a hypothesis test and how the test accomplishes its goal.

Minimum Requirements: each reply to a peer should be 200-300 words. All post should reflect critical thinking, and quality writing – be polite and respectful in all posts.

Person 1 post: (Da)

Hypothesis simply is an educated guess and hypothesis testing is a mathematical model of testing a claim or an idea. Meaning, if there is a hypothesis it should to be testable either by experiment or by observation. Let’s say if I have an idea over something as; if I act on independent variable, as a result something will happen to the dependent variable. For example; If I give patients counseling in addition to medication then their overall depression scale will decrease (Hypothesis Testing). The research should always start with null hypothesis or alternate hypothesis. All the necessary data will be collected and designed to test where statistical test will be performed to see whether null hypothesis is supported or not. Any hypothesis testing are supported by five basic elements and they are; Null Hypothesis, sample statistic, standard error, test statistic, and alpha level-level of significance.

Supporting the five elements of hypothesis, the web Investopedia proposed an example which enables a systematic way to test claims or ideas about the entire dataset. A school principal reports that students in her school score an average of 7 out of 10 in exams. To test this “hypothesis,” we record marks of say 30 students (sample) from the entire student population of the school (say 300) and calculate the mean of that sample. We can then compare the (calculated) sample mean to the (reported) population mean and attempt to confirm the hypothesis.

The reported value, principal’s assumption of 7 out of 10 is a null hypothesis and presumed to be true. The process, after this determines whether the assumption is true or not. If the data does not support the null hypothesis then it becomes the alternate hypothesis which is directly contradiction of null hypothesis.

Person 2 post: (jan)

Hypothesis testing is the theory, methods, and practice of testing a hypothesis by comparing it with the null hypothesis. An hypothesis is an educated guess about something in the world around you. An hypothesis is basically an assumption. It should be testable, either by experiment or observation. And it can really be anything as long as it is tested with plenty of data to prove the hypothesis. There are 5 basic elements of a hypothesis test: Null Hypothesis, sample statistic, standard error, test statistic, and alpha level-level of significance.

An example of hypothesis is an ophthalmologist says that 7 out of 10 of his/her patients that are over 40 years old will need eye glasses. To test this hypothesis, you would record 30 of his patients which is a sample from his entire list of 150 patients then calculate the mean of that sample. Then compare the calculated sample mean to the reported entire patient list mean and then confirm the hypothesis.

The null hypothesis is if the doctor is incorrect and the research is wrong meaning 7 out of 10 of his/her patients over 40 years old will not need eyeglasses. Hypothesis testing starts by stating and assuming a null hypothesis and then the process determines whether the assumption is true or false. Also the null hypothesis is based on chance.

I conclude with the results of the hypothesis test example based on the testing, it is true that 7 out of 10 patients over the age of 40 years old will need eyeglasses.