Project Inferences on a Population Parameter In this project, you will draw inferences on a population parameter: proportion or mean.

(I need the most help with a topic - one proportioin or mean. I can NOT think of a topic)

You will describe a problem including a general claim made about a population parameter, collect data, test hypotheses, and construct and interpret a confidence interval to determine whether the claim made about a population parameter can still be supported by the sample collected. You will, then, create power point slides to report on your findings including all the required components below and turn in by the stated due date according to the guidelines provided in this paper.

1. Understand the Problem a) Select a parameter of your choice: proportion or mean for which a general claim can be (or has been) made. Please try to decide on something that you are interested in knowing about. Who (what) is the population of your choice? b) Describe the problem including a general claim made about the specific population: c) Identify any relevant variables to the above problem: Are the variable categorical or numerical? d) Collect either categorical or numerical data, at least 30 data values. Discuss how your data has been collected and whether you were able to collect a random sample of data. If a random sampling was not possible, please explain why not.

2. Analyze the Data a) Discuss whether required conditions are met to test hypotheses depending on the parameter being addressed.

b) Test hypotheses using Determine the null and alternative hypotheses. Use proper symbols.

-Use technology (StatCrunch) to find the test statistics. - Use technology (StatCrunch) to find the P-value.

Also, provide a list of steps in finding the P-value using StatCrunch.

-Make the decision on whether to reject the null hypothesis or not. Provide a statement whether the claim made about the population parameter can still be supported by the sample collected. Do you think your conclusion was due to the sampling variability (random chance) or do you think the data from the sample is indeed significant and it suggests that the population parameter needs to be rejected? Explain according to the P-value. - State the conclusion about the claim.

c) Construct and interpret a 95% confidence interval for the population parameter. -State the confidence interval. Also, provide a list of steps in constructing the confidence interval using StatCrunch. -Interpret the confidence interval about your problem. Does the confidence interval support the conclusion of the hypothesis testing?

3. Draw Conclusions a) What do the results you got indicate about the inference on the population parameter? Decide whether the claim made about the population parameter can still be supported by the samples collected. Explain using the results of the hypothesis testing and the confidence interval. b) If it is relevant or meaningful in context, think of a way that these results could be used in practice.