/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 86 Give an example of a phenomenon ... [FREE SOLUTION] | 91影视

91影视

Log out

Learning Materials

Features

Discover

Chapter 12: Problem 86

Give an example of a phenomenon that is not normally distributed and explain why.

Short Answer

Expert verified
The wealth distribution of a country is an example of a non-normally distributed phenomenon. This is because wealth is often highly concentrated, resulting in a positively skewed distribution, which does not fit the 'bell curve' of a normal distribution. Extreme wealth values can lead to a high level of kurtosis - more frequent extreme values than expected in a normal distribution.

Step by step solution

01

Identify a Non-Normally Distributed Phenomenon

The wealth distribution of a country is an example of a phenomenon that is not normally distributed. In many countries, wealth distribution is skewed, often in favor of a small percentage of the population who hold a disproportionately large amount of the wealth.
02

Identify Characteristics of Non-Normal Distribution

In an ideal normal or Gaussian distribution, events are equally likely to occur on either side of the average, resulting in a symmetric, bell-shaped curve. However, in the distribution of wealth in many countries, there is a high level of skewness, with wealth concentrated among a small percentage of the population. This creates a positively skewed distribution. In addition, due to extreme values, the data may exhibit high kurtosis, meaning there are fat tails and thus, more frequent extreme values than expected in a normal distribution.
03

Validate Your Selection

This distribution is a common characteristic of wealth distribution globally, characterized by high amounts of wealth held by a small proportion of the population. Therefore, the wealth distribution of a country is an excellent example of a non-normally distributed phenomenon.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91影视!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Determine whether each statement makes sense or does not make sense, and explain your reasoning. I'm working with data sets with the same mean and different standard deviations.

Intelligence quotients (IQs) on the Stanford-Binet intelligence test are normally distributed with a mean of 100 and a standard deviation of 16. Use the 68-95-99.7 Rule to find the percentage of people with IQs below \(68 .\)

Intelligence quotients (IQs) on the Stanford-Binet intelligence test are normally distributed with a mean of 100 and a standard deviation of 16. Use the 68-95-99.7 Rule to find the percentage of people with IQs between 68 and 100 .

The scores on a test are normally distributed with a mean of 100 and a standard deviation of 20.Find the score that is \(1 \frac{1}{2}\) standard deviations above the mean.

The scores on a test are normally distributed with a mean of 100 and a standard deviation of 20.Find the score that is 3 standard deviations above the mean.
See all solutions

Recommended explanations on Math Textbooks

Geometry

Read Explanation

Theoretical and Mathematical Physics

Read Explanation

Logic and Functions

Read Explanation

Mechanics Maths

Read Explanation

Probability and Statistics

Read Explanation

Pure Maths

Read Explanation
View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.