To determine Normal distribution and briefly describe the conditions that make a given data is normally distributed with an example. Explanation Normal distribution- The normal distribution is a symmetric, bell shaped distribution with a single peak. Its peak corresponds to the mean, median, mode of the distribution. Its variation is characterized by the standard deviation of the distribution. Condition for a Normal distribution- A data set that satisfies the following four criteria is likely to have a nearly normal distribution. (a)Most data values are clustered near the mean, giving the distribution a well-defined single peak. (b)Data values are spread evenly around the mean making the distribution symmetric. (c) Large deviations from the mean become increasingly rare, producing the tapering tails of the distribution...

15th Edition

ISBN: 9781269927116

Author: Bennett

Publisher: PEARSON

See similar textbooks

Concept explainers

Continuous Probability Distributions

Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could co…

Normal Distribution

Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a…

Videos

Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 6.C, Problem 1E

To determine

Normal distribution and briefly describe the conditions that make a given data is normally distributed with an example.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Chapter 6.C, Problem 10QQ

Chapter 6.C, Problem 2E

Students have asked these similar questions

Chatgpt give wrong answer No chatgpt pls will upvote

@when ever one Point sets in x are closed a collection of functions which separates Points from closed set will separates Point. 18 (prod) is product topological space then VaeA (xx, Tx) is homeomorphic to sul space of the Product space (Txa, prod). KeA © The Bin Projection map B: Tx XP is continuous and open but heed hot to be closed. A collection (SEA) of continuos function oha topolgical Space X se partes Points from closed sets inx iff the set (v) for KEA and Vopen set in Xx from a base for top on x.

No chatgpt pls will upvote

Chapter 6 Solutions

USING+UNDERSTAND MATH W/MATHLABPLUS >I

Ch. 6.A - Prob. 1QQ Ch. 6.A - On a math exam, one student scores 79 while 25...Ch. 6.A - One hundred students take a chemistry exam. All...Ch. 6.A - Twenty students take a political science exam....Ch. 6.A - A survey asks students to state many sodas they...Ch. 6.A - Among professional actors, a small number of...Ch. 6.A - The distribution of wages at a company is...Ch. 6.A - Compared to a distribution with a broad central...Ch. 6.A - Prob. 9QQ Ch. 6.A - The mayor of a town is considering a run for...

Knowledge Booster

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, subject and related others by exploring similar questions and additional content below.