What are three important properties of a normal distribution

Reference no: EM13952906

The following questions pertain to some important facts to know about a normal distribution:

a. What are three important properties of a normal distribution?

b. What percentage of the values are:

i. within 1 standard deviation of the mean?
ii. 2 standard deviations or more above the mean?
iii. 1.96 standard deviations or more below the mean?
iv. between the mean and ±2.58 standard deviations?
v. 1.28 standard deviations above the mean?

Reference no: EM13952906

Questions Cloud

Integration testing plan and test cases : Testing is a critical phase of implementation. For this project, you will create a test plan for your proposed system based on your system design

Find probabilities associated with the area above : The areas under a standard normal curve also may be considered to be proba- bilities. Find probabilities associated with the area:- Above Z = 2.33 and Below Z = -2.58

Determine the areas under the standard normal curve : Determine the areas under the standard normal curve that fall between the following values of Z: a. 0 and 1.00b. 0 and 1.28 c. 0 and -1.65

Describe the social responsibility-sustainability : Describe the social responsibility and/or sustainability (environmental, social or economic- also known as the triple bottom line) issues that apply and the stakeholders to whom these issues apply.

What are three important properties of a normal distribution : The following questions pertain to some important facts to know about a normal distribution: What are three important properties of a normal distribution?

Write an if-then statement for the following code : Write an array that stores the square of the numbers from 1 to 5 in each element. Write out each element.

Quoting, paraphrasing, and summarizing : What is the difference between quoting, paraphrasing, and summarizing? What type of citation is required for each? Why is properly citing sources important?

Determine the probability density function : Define the probability density and cumulative probability function for an absolutely continuous random variable. Which of these functions is analogous to the probability mass function of a discrete random variable?

Jesse to calculate profit for sales of backpacks : Create a spreadsheet model for Jesse to calculate profit for sales of the backpacks (one model.) Demand and production quantity for each of the three models are uncertain variables.

User Account

All Pages