This week’s required readings explain the role that the normal probability distribution plays in the world of statistical analysis. Consider the following questions and respond in a minimum of 175 words:
1. Describe the key features of the normal curve and explain why the normal curve in real-life distributions never matches the model perfectly.
2. Imagine that you recently took a statistics midterm exam and your instructor just returned your scored exam. The instructor announces that 75% of students scored below the mean. How do you reconcile this with what you have learned that, in a normal distribution, half of the scores should fall above the mean and half of the scores should fall below the mean?
4. According to the material presented in Session 6, why do analysts use Z scores? What are the advantages of using Z scores? Describe some business or personal applications that would require the use of Z scores. Are there any business or personal applications that would not be appropriate for the use of Z scores?
6. Why do we use a bell curve to assess the normality of a variable as opposed to a square, triangle, rectangle or some other symmetrical shape?
Homework # 6
Exercises 1,8,9,12,14,17.21.24,30,35,38,46,49,60,63,71,74,82,87
Last Completed Projects
| topic title | academic level | Writer | delivered |
|---|