 Discussion: Using t Tests Essay

This week\’s Introduction about a NASA rocket provided an example of when a t test may be used in a real-life situation. In this Discussion, you will analyze a research question of your choice using a t test.

To prepare for this Discussion:

Review problems 17–24 on pages 416–417 of your text, which show how t tests can be used to analyze real-life data. Think about how you might answer each of the questions.
Think about one small data set that you would like to compare to a proposed mean. For example, you could compare the mean weight of a bag of chocolate chip cookies to the mean that the industry claims. Clearly outline your null and alternative hypothesis statements. Discussion: Using t Tests Essay
Consider why your research question is important.
Outline how you would use each of the steps of the four-step hypothesis test process to answer the research question.
Post a 1- to 2-paragraph write-up including the following:

Describe your research question, and explain its importance
Describe how you would use the four-step hypothesis test process to answer your research question.
Be sure to support your ideas by connecting them to the week\’s Learning Resources or to something you have read, heard, seen, or experienced.

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Be sure to watch the video Hypothesis Testing with the t Test on my website to see what I want you do to for your t test study.

Using t-tests

Research question
The research question is: What is the probability that the mean differences in results reported for drugs A and B are significant? The question results from research outcomes showing that drug A clears colds within an average of three days while drug B clears colds within an average of seven days (Howell, 2013; Rowe, 2015). Discussion: Using t Tests Essay

Four-step hypothesis test process
The first step is to state the hypothesis. The null hypothesis is presented that the mean performance for the two drugs is equal (H0: μ1 = μ2). The alternative hypothesis is presented that the mean performance for the two drugs is not equal (H0: μ1≠ μ2). The second step is to set the criteria for the decision on whether to accept or reject the null hypothesis. The criteria is typically set at 0.05 (5%) probability that the null hypothesis is true. The third step is to compute the test statistic, whereby t-test is conducted to compare the two means. The final step is making a decision, based on the set criteria and test statistic, on whether or not the null hypothesis should be accepted (Goos & Meintrup, 2016). 