Assume that a procedure yields a binomial distribution with a trial repeated n times. Use the binomial probability formula to find the probability of x successes given the probability p of success on a single trial. Round to three decimal places. n = 10, x = 8 , p = 0.5

his week you will begin working on Phase 2 of your course project. Using the same data set and variables for your selected topic, add the following information to your analysis: Discuss the importance of constructing confidence intervals for the population mean. What are confidence intervals? What is a point estimate? What is the best point estimate for the population mean? Explain. Why do we need confidence intervals? Find the best point estimate of the population mean. Construct two confidence intervals for the population mean: a 95% confidence interval and a 99% confidence interval. Assume that your data is normally distributed and the population standard deviation is unknown. Please show your work for the construction of these confidence intervals and be sure to format your equations to fit the appropriate form (may need editing here). Write a paragraph that correctly interprets the confidence intervals in context of your selected topic. Compare and contrast your findings for the 95% and 99% confidence intervals. Did you notice any changes in your interval estimate? Explain. What conclusion(s) can be drawn about your interval estimates when the confidence level is increased? Explain.

For this assignment, please include all of the required information below into a Word document and upload the completed file as an attachment. . For this project you will write an original research question on any topic in the Health Sciences and create a fictitious data set to analyze your data using Excel and answer your research question. Then, you will summarize your findings in a journal-style results section including any tables or statistical output you deem necessary to explain your findings. At a minimum, include the following: research question, null and alternate hypotheses, independent and dependent variable, description of the statistical test used, your results from that test using your fictitious data and concluding statements relating back to your hypotheses. Do not simply include your statistical output. Instead, make sure you explain and interpret the statistical output.