Normal distribution 1. Learn about the properties of a normal distribution 2. Solve problems using tables of the normal distribution or your calculator.

Slides:



Advertisements
Similar presentations
Chapter 5 Some Key Ingredients for Inferential Statistics: The Normal Curve, Probability, and Population Versus Sample.
Advertisements

Normal distribution Learn about the properties of a normal distribution Solve problems using tables of the normal distribution Meet some other examples.
Normal Distribution SOL: AII Objectives The student will be able to:  identify properties of normal distribution  apply mean, standard deviation,
The Normal Distribution
Sections 5.1 and 5.2 Finding Probabilities for Normal Distributions.
Section 6-3 Applications of Normal Distributions.
The Normal Curve. Probability Distribution Imagine that you rolled a pair of dice. What is the probability of 5-1? To answer such questions, we need to.
The Normal Curve Z Scores, T Scores, and Skewness.
The Normal Distribution
Statistics for Managers Using Microsoft Excel, 4e © 2004 Prentice-Hall, Inc. Chap 6-1 Chapter 6 The Normal Distribution and Other Continuous Distributions.
Clt1 CENTRAL LIMIT THEOREM  specifies a theoretical distribution  formulated by the selection of all possible random samples of a fixed size n  a sample.
The Normal Distribution
Statistics Normal Probability Distributions Chapter 6 Example Problems.
Normal Distribution Links Standard Deviation The Normal Distribution Finding a Probability Standard Normal Distribution Inverse Normal Distribution.
The Normal Distribution The “Bell Curve” The “Normal Curve”
Section 7.1 The STANDARD NORMAL CURVE
Working with Normal Distributions Measurements which occur in nature frequently have a normal distribution eg weight of new born babies Height of I year.
Statistics and Modelling Course Topic 5: Probability Distributions Achievement Standard Solve Probability Distribution Models to solve straightforward.
2.5 Normal Distribution SWBAT calculate areas under a standard normal curve in writing by converting between values and z- scores using a GCD or Table.
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 5-1 Introduction to Statistics Chapter 6 Continuous Probability Distributions.
CONTINUOUS RANDOM VARIABLES AND THE NORMAL DISTRIBUTION.
1 Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Chapter 6. Continuous Random Variables Reminder: Continuous random variable.
Chapter 5 The Normal Curve. Histogram of Unemployment rates, States database.
Chapter 5 The Normal Curve. In This Presentation  This presentation will introduce The Normal Curve Z scores The use of the Normal Curve table (Appendix.
Copyright © 2012 by Nelson Education Limited. Chapter 4 The Normal Curve 4-1.
Normal Distribution Section 2.2. Objectives  Introduce the Normal Distribution  Properties of the Standard Normal Distribution  Use Normal Distribution.
4.3 NORMAL PROBABILITY DISTRIBUTIONS The Most Important Probability Distribution in Statistics.
Key Concepts, continued To determine the probability of an outcome using continuous data, we use the proportion of the area under the normal curve associated.
Some probability distribution The Normal Distribution
Normal Distributions.  Symmetric Distribution ◦ Any normal distribution is symmetric Negatively Skewed (Left-skewed) distribution When a majority of.
The Normal Distribution. The Area under the curve The area under the curve represents everything: 100%.
Mean Point of Interest, x Z Score σ σ σ σ σ σ The Z Table Estimate Area “A” Area “B” Background on the Z Estimate Using the Z score, the.
Normal Distributions. Density Curve A density curve is a smooth function meant to approximate a histogram. A density curve is a smooth function meant.
Introduction Previous lessons demonstrated the use of the standard normal distribution. While distributions with a mean of 0 and a standard deviation of.
§ 5.3 Normal Distributions: Finding Values. Probability and Normal Distributions If a random variable, x, is normally distributed, you can find the probability.
1 Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Chapter 6 Continuous Random Variables.
Simulations and Probability An Internal Achievement Standard worth 2 Credits.
Normal Distribution Practice with z-scores. Probabilities are depicted by areas under the curve Total area under the curve is 1 Only have a probability.
Basic Business Statistics, 11e © 2009 Prentice-Hall, Inc. Chap 6-1 The Normal Distribution.
Introduction Previous lessons demonstrated the use of the standard normal distribution. While distributions with a mean of 0 and a standard deviation of.
WELCOME TO MATH 3 Please begin reading the syllabus on your desk!
Chap 6-1 Chapter 6 The Normal Distribution Statistics for Managers.
The Normal Distribution Name:________________________.
Normal Distribution Learning about.... introduction what is distribution? the distribution of a data set is the description of how the data is spread.
Normal Distribution. Normal Distribution Curve A normal distribution curve is symmetrical, bell-shaped curve defined by the mean and standard deviation.
Normal Distribution SOL: AII Objectives The student will be able to:  identify properties of normal distribution  apply mean, standard deviation,
Characteristics of Normal Distribution symmetric with respect to the mean mean = median = mode 100% of the data fits under the curve.
Discrete Math Section 17.4 Recognize various types of distributions. Apply normal distribution properties. A normal distribution is a bell shaped curve.
15.5 The Normal Distribution. A frequency polygon can be replaced by a smooth curve A data set that is normally distributed is called a normal curve.
Note: Normal Distribution Many sets of data collected in nature and other situations fit what is called a normal distribution. This means the data would.
Normal Distribution SOL: AII
Normal Distribution and Parameter Estimation
Normal Distribution.
Chapter 5 The Normal Curve.
The Standard Normal Distribution
Chapter 6. Continuous Random Variables
The Normal Distribution
THE STANDARD NORMAL DISTRIBUTION
3.5 z-scores & the Empirical Rule
Theoretical Normal Curve
STAT 1301 Chapter 5(a) The Normal Curve
CENTRAL LIMIT THEOREM specifies a theoretical distribution
11-3 Use Normal Distributions
The Standard Normal Distribution
Calculating probabilities for a normal distribution
Sec Introduction to Normal Distributions
Normal Distribution SOL: AII
Normal Distribution SOL: AII
The Z Table Estimate Area “A” Area “B” Point of Interest, x Mean
Presentation transcript:

Normal distribution 1. Learn about the properties of a normal distribution 2. Solve problems using tables of the normal distribution or your calculator.

The Normal Distribution (Bell Curve) Average contents 50 Mean = μ = 50 Standard deviation = σ = 5

The normal distribution is a theoretical probability * the area under the curve adds up to one*

A standard normal distribution is a theoretical model of the whole population. It is perfectly symmetrical about the central value; the mean μ represented by zero.

As well as the mean the standard deviation (σ) must also be known. The X axis is divided up into deviations from the mean. Below the shaded area is one deviation from the mean.

Two standard deviations from the mean

Three standard deviations from the mean

A handy estimate – known as the Imperial Rule for a set of normal data: 68% of data will fall within 1σ of the μ P(<z<1)=0.683=68.3%

95% of data fits within 2σ of the μ P(-2<z<2)=0.954=95.4%

99.7% of data fits within 3σ of the μ P(-3<z<3)=0.997=99.7%

Using the standard normal distribution There is a standard normal distribution, such that the mean = 0 and the standard deviation = 1. 0 We can convert any other distribution to the standard one. For now, we´ll practise using the standard normal distribution, which we call ´Z´

Using the standard normal distribution Formula for P(Z < x) Formula for P(Z < x) Again, life is too short. We look up values in a table or, even better, use your graphics calculator.

Using the standard normal distribution

Use the standard normal distribution – Draw a diagram 1) Find P(0 < Z < 0.5) 2) Find P(-0.6 < Z < 1.5) 1) Find P(0 < Z < 0.5) 2) Find P(-0.6 < Z < 1.5) 0 0

Use the standard normal distribution – Draw a diagram 3) Find P(Z > 0.563) 4) find P(Z 0.563) 4) find P(Z < -1.54) 0 0

Using your graphics calculator To put your calculator in the correct mode press To put your calculator in the correct mode press Menu  2 (Stat)  F5 (Dist)  F1 (Norm)  F2 (Ncd) If you have a blue calculator press F2 (Var).

Using your calculator Use the arrows keys to insert your Lower and Upper bounds. Use the arrows keys to insert your Lower and Upper bounds. Make sure the s.d (σ) = 1 and mean ( μ) = 0 Make sure the s.d (σ) = 1 and mean ( μ) = 0

Using your calculator If you do not have a lower bound put in a large negative number (-1000) like example 4 If you do not have a lower bound put in a large negative number (-1000) like example 4 If you don not have an upper bound put in a large positive number (1000) like example 3 If you don not have an upper bound put in a large positive number (1000) like example 3