STA 321 Rasmussen College Tutoring On The Normal Distribution Worksheet

Health Medical

STA 321

Rasmussen College

STA

Question Description

Competency

Demonstrate the use of the normal distribution, the standard normal distribution, and the central limit theorem for calculating areas under the normal curve and exploring these concepts in real life applications.

Scenario

Frank has only had a brief introduction to statistics when he was in high school 12 years ago, and that did not cover inferential statistics. He is not confident in his ability to answer some of the problems posed in the course.

As Frank's tutor, you need to provide Frank with guidance and instruction on a worksheet he has partially filled out. Your job is to help him understand and comprehend the material. You should not simply be providing him with an answer as this will not help when it comes time to take the test. Instead, you will be providing a step-by-step breakdown of the problems including an explanation on why you did each step and using proper terminology.

What to Submit

To complete this assignment, you must first download the spreadsheet, and then complete it by including the following items on the spreadsheet:

  • Incorrect Answers
    • Correct any wrong answers. You must also explain the error performed in the problem in your own words.
  • Partially Finished Work
    • Complete any partially completed work. Make sure to provide step-by-step instructions including explanations.
  • Blank Questions
    • Show how to complete any blank questions by providing step-by-step instructions including explanations.

Your step-by-step breakdown of the problems, including explanations, should be present within the Excel workbook provided.

Unformatted Attachment Preview

Instructions: The following questions on the next six tabs are shown to you by a student who is asking for help. Your job is showing the student how to solve each problem in detail. You are expected to explain all of the steps in your own words. Key: - This problem is an incorrect. Your job is to find the errors, correct the errors, and explain what they did wrong.

- This problem is partially finished. You must complete the problem by showing all steps and explain your corrections - This problem is blank. You must start from scratch and explain how you will approach the problem, how you solve it, who is asking for help. Your job is to help the student walk through the problems by of the steps in your own words. plain what they did wrong. explain your corrections. ch the problem, how you solve it, and explain why you took each step.

Assume that a randomly selected subject is given a bone density test. Those tests follow a standard normal dis the probability that the bone density score for this subject is between -1.07 and 2.07. Student’s partially finished answer: We first need to find the probability for each of these z-scores using Excel. For -1.07, the probability from the left is 2.07, the probability from the left is 0.980774. Show your calculations using Excel functions in the area to the right of this text box and finish answering the problem below. ests follow a standard normal distribution. Find 07, the probability from the left is 0.14231, and for and finish answering the problem with explanations The U.S. Airforce requires that pilots have a height between 62 in. and 78 in. If women’s heights are normally d mean of 63.8 in. and a standard deviation of 2.6 in, find the percentage of women that meet the height requireme Show your calculations using Excel functions in the area to the right of this text box and answer the problem with expl f women’s heights are normally distributed with a that meet the height requirement. and answer the problem with explanations below. Women’s pulse rates are normally distributed with a mean of 68.5 beats per minute and a standard deviation o minute. What is the z-score for a woman having a pulse rate of 65 beats per minute? Student’s incorrect answer: Let 𝒛 = 𝒙−𝝁 𝝈 𝒛 = (𝟔𝟖. 𝟓 − 𝟔𝟓) 𝟏𝟎. 𝟗 𝒛 = 𝟎. 𝟑𝟐𝟏𝟏 Identify where the student went wrong when solving the problem above. Show how to correctly calculate the answer area to the right of this text box. Finish the problem by stating how to correctly set up the problem and solve it below. minute and a standard deviation of 10.9 beats per to correctly calculate the answer using Excel in the up the problem and solve it below. What is the cumulative area from the left under the curve for a z-score of -0.296? What is the area on the right Show your calculations using Excel functions in the area to the right of this text box and answer the problem with expl 96? What is the area on the right of that z-score? and answer the problem with explanations below. If the area under the standard normal distribution curve is 0.571101 from the right, what is the corresponding z Student’s incorrect answer: We plug in “=NORM.INV(0.571101, 0, 1)” into Excel and get a z-score of 0.17918. Identify where the student went wrong when solving the problem above. Show how to correctly calculate the answer area to the right of this text box. Finish the problem by stating how to correctly set up the problem and solve it below. right, what is the corresponding z-score? to correctly calculate the answer using Excel in the up the problem and solve it below.

A research shows that the Richter scale magnitudes of earthquakes are normally distributed with a mean of 1. standard deviation of 0.587. Earthquakes with magnitudes less than 2.000 are considered "microearthquakes" tha feel. What percentage of earthquakes fall into this category? Student’s partially finished answer: We need to find the probability that earthquakes fall into the microearthquake category. The first step is to find th the Richter scale is less than 2.000. Show your calculations using Excel functions in the area to the right of this text box and finish answering the problem below. ally distributed with a mean of 1.184 and a nsidered "microearthquakes" that humans do not . The first step is to find the probability that and finish answering the problem with explanations ...

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