Option #1: Confidence Intervals One of the most popular ways to estimate an unknown parameter is the

Option #1:Confidence Intervals One of the most popular ways to estimate an unknown parameter is the confidence interval. Instead of just using a point estimate, it gives an interval estimate. This gives more information about the unknown parameter. In this assignment, we will examine confidence interval. Download thedatasetJNJ.csvfrom the course website. Using R, compute the sample mean of closing price of Johnson and Johnson's (JNJ) daily stock prices. Using R, compute the standard deviation. Also, compute the 90%, 95%, and 99% confidence intervals for the true mean closing JNJ
Option #1:Confidence Intervals One of the most popular ways to estimate an unknown parameter is the confidence interval. Instead of just using a point estimate, it gives an interval estimate. This gives more information about the unknown parameter. In this assignment, we will examine confidence interval. Download thedatasetJNJ.csvfrom the course website. Using R, compute the sample mean of closing price of Johnson and Johnson's (JNJ) daily stock prices. Using R, compute the standard deviation. Also, compute the 90%, 95%, and 99% confidence intervals for the true mean closing JNJ stock price. Based on 3, discuss the pattern you see from these three confidence intervals and explain why such a pattern exists. What is the advantage(s) and disadvantage(s) of increasing the confidence levels? Explain. Interpret the confidence intervals you've calculated from part 3. Using a Word document, show the relevant calculations as well as the answers/solution. Copy the screenshots of the R output and paste them into the Word document. Your screenshot must include the current date using the function Sys.Date(). Submit the Word file in Canvas for grading.

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