• 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.
• 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.
• Think about how using a t test could help your analysis. How is the outcome from the t test used to support the claim made?

With these thoughts in mind:

Post by Day 3 a 1- to two pgraph write-up including the following:

1. Describe your research question, and explain its importance.
2. Describe how you would use the four-step hypothesis test process to answer your research question.
3. Explain how using a t test could help you answer your research question.

This is one of the problems on page 416

A Simple random sample of 16 different cereals is obtained and the sugar content (in grams of sugar per gram of ceral) is measured for each cereal selected. Those amounts have a mean of 0.295 gram and a standard deviation of 0.168 gram. Use a 0.05 significance level to test the claim of a cereal lobbyist that the mean for all cereals is less than 0.3 gram. Assume the population distribution is approximately normal. Answer the following questions: A: Hypotheses: Test Statistic and Value: P-Value: Conclusion: Label the test statistic you found (t-value, z calue, or Chi square) and the value. For the conclusion please state fail to reject or reject the null hypothesis