The below posts requires a response to it with at least 80words to each point and an example, with reference if used.

Chptr 9 pt. 3

5. According to the PowerPoint this is an eight step process:

1. Establish the hypothesis.

2. Determine the appropriate statistical test.

3. Set the value of , the Type I error rate.

4. Establish the decision rule.

5. Gather the sample data.

6. Analyze the data.

7. Reach a statistical conclusion.

8. Make a business decision.

In my current position I could use this process to determine what types of product offering tend to be favored in different regions of the country. I work for a small electric vehicle manufacturer and we could use this data to make determinations about what products we offer & how successful we are with them in different regions. For example, we could take a sample population of the vehicles that we produce that have heaters installed in them. Once we have that data we can then use with data that tells which of the vehicles go where and at what times of the year. Do we sell most of our heater equipped vehicles into the Northeastern US in the months of July and August as customers begin prepare their facilities there for the winter months as compared to selling them into South Florida in March and April as the summer approaches. While this seems obvious to me it illustrates how this works.

6. There are several steps to hypothesis testing when using the z statistic. These include stating the hypothesis, formulating an analysis plan, analyzing any sample data and interpreting the results.

To begin hypothesis testing you must first state the null hypothesis and an alternative hypothesis. Hypothesis must be stated in an exclusive way where if one is true the other is false.

After that you must now formulate an analysis plan. To do this you must describe how to use sample data to either accept or reject the null hypothesis. It should also include

1. Significance level.

2. Test method. Using a z test to determine whether the population proportion differs from the observed sample.

From there you use the sample data to test the p value as well as other statistical information such as standard deviation.

Using sample data, find the test statistic and its associated P-Value You also need to test the statistic. The test statistic is a z-score (z) defined by the following equation z = (p - P) / .

Interpret the results:

If the sample findings are unlikely, given the null hypothesis, the researcher rejects the null hypothesis.

I currently work in sales so I think we could use this to test in a lot of different ways. One would be to test which day people open emails the most. We could take a test sample based on what we think and compare that to actual results. That way we would know when and how to target our marketing efforts.