Lec. 11 – The Normal Distribution. Differences among these plots?

Slides:



Advertisements
Similar presentations
Square root of the Variance:
Advertisements

NORMAL OR GAUSSIAN DISTRIBUTION Chapter 5. General Normal Distribution Two parameter distribution with a pdf given by:
The Normal Distribution
Inference for Linear Regression (C27 BVD). * If we believe two variables may have a linear relationship, we may find a linear regression line to model.
Graphics Calculator Probability Distributions Graphics Calculator Binomial Dist Graphics Calc Poisson Dist Graphics Calc Normal Dist.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 6 The Standard Deviation as a Ruler and the Normal Model.
12 FURTHER MATHEMATICS Organising and Displaying Data.
Graph to plot anthropometric indices against reference population.
The Normal Curve Z Scores, T Scores, and Skewness.
MARE 250 Dr. Jason Turner The Normal Distribution.
T T Population Sampling Distribution Purpose Allows the analyst to determine the mean and standard deviation of a sampling distribution.
Jan Shapes of distributions… “Statistics” for one quantitative variable… Mean and median Percentiles Standard deviations Transforming data… Rescale:
Value at Risk MGT 4850 Spring 2008 University of Lethbridge.
Transforms What does the word transform mean?. Transforms What does the word transform mean? –Changing something into another thing.
STAT 104 Section 6 Daniel Moon. Agenda Review Midterm 1 Practice Problems.
Ch. 6 The Normal Distribution
T T07-01 Sample Size Effect – Normal Distribution Purpose Allows the analyst to analyze the effect that sample size has on a sampling distribution.
Chapter 9 Numerical Integration Numerical Integration Application: Normal Distributions Copyright © The McGraw-Hill Companies, Inc. Permission required.
Continuous Probability Distributions
Normal Distribution Links Standard Deviation The Normal Distribution Finding a Probability Standard Normal Distribution Inverse Normal Distribution.
Normal Distribution u Note: other distributions –hypergoemetric - sampling with replacement –beta –bimodal –VanGenuchten u Normal Probability Density Function.
Analyzing Institutional Assessment Results Longitudinally (with nonparametric effect sizes) Dr. Bradley Thiessen, Director of Institutional Research Problem:
AP STATISTICS Section 4.2 Relationships between Categorical Variables.
Further distributions
Topics: Statistics & Experimental Design The Human Visual System Color Science Light Sources: Radiometry/Photometry Geometric Optics Tone-transfer Function.
Measures of Variability Objective: Students should know what a variance and standard deviation are and for what type of data they typically used.
Advanced Algebra II Normal Distribution. In probability theory, the normal (or Gaussian) distribution is a continuous probability distribution that has.
In probability theory and statistics, the normal distribution or Gaussian distribution is a continuous probability distribution that often gives a good.
The Erik Jonsson School of Engineering and Computer Science Chapter 3 pp William J. Pervin The University of Texas at Dallas Richardson, Texas.
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.
Probability = Relative Frequency. Typical Distribution for a Discrete Variable.
Statistics with TI-Nspire™ Technology Module E. Lesson 2: Properties Statistics with TI-Nspire™ Technology Module E.
T06-02.S - 1 T06-02.S Standard Normal Distribution Graphical Purpose Allows the analyst to analyze the Standard Normal Probability Distribution. Probability.
Lecture 9. Continuous Probability Distributions David R. Merrell Intermediate Empirical Methods for Public Policy and Management.
Chapter Bivariate Data (x,y) data pairs Plotted with Scatter plots x = explanatory variable; y = response Bivariate Normal Distribution – for.
Chapter 3 Review MDM 4U Mr. Lieff. 3.1 Graphical Displays be able to effectively use a histogram recognize and be able to interpret the various types.
Continuous Random Variables. Probability Density Function When plotted, discrete random variables (categories) form “bars” A bar represents the # of.
Ch. 15H continued. * -applied to experiments with replacement ONLY(therefore…..independent events only) * -Note: For DEPENDENT events we use the “hypergeometric.
Irwin/McGraw-Hill © Andrew F. Siegel, 1997 and Methods and Applications CHAPTER 15 ANOVA : Testing for Differences among Many Samples, and Much.
Sundermeyer MAR 550 Spring Laboratory in Oceanography: Data and Methods MAR550, Spring 2013 Miles A. Sundermeyer Computing Basic Statistics.
Digital Image Processing Part 2 Contrast processing.
1 The Standard Deviation as a Ruler  A student got a 67/75 on the first exam and a 64/75 on the second exam. She was disappointed that she did not score.
Algebra Tables, Spreadsheets and Graphs. Solving Equations in Algebra 1.Substituting values manually by hand Find the value of Y when X=10 2.Using a table.
GEOG 441 Watershed Systems Precipitation Monday 1/26/2009.
3.8B Solving Systems using Matrix Equations and Inverses.
Unit 4 Review. Starter Write the characteristics of the binomial setting. What is the difference between the binomial setting and the geometric setting?
© 2003 Prentice-Hall, Inc. Chap 5-1 Continuous Probability Distributions Continuous Random Variable Values from interval of numbers Absence of gaps Continuous.
Normal Distribution Learning about.... introduction what is distribution? the distribution of a data set is the description of how the data is spread.
Chapter 3 Review MDM 4U Mr. Lieff. 3.1 Graphical Displays be able to effectively use a histogram name and be able to interpret the various types of distributions.
MDM4U Chapter 3/5 Review Normal Distribution Mr. Lieff.
Random Variables By: 1.
Cell Diameters and Normal Distribution. Frequency Distributions a frequency distribution is an arrangement of the values that one or more variables take.
Daily Vocabulary Coefficient matrix Matrix of constants.
Chapter 3: Normal R.V.
The Normal Distribution
Test for Normal Distribution
Inferences on Two Samples Summary
Laboratory in Oceanography: Data and Methods
ID1050– Quantitative & Qualitative Reasoning
Consider the following problem
WHO MAKES THE INTERNET SO POPULAR?
Continuous Random Variable Normal Distribution
Warm Up Your textbook provides the following data on the height of men and women. Mean Std. Dev Men Women ) What is the z score.
Displaying Data – Charts & Graphs
Unit # Deviation Absolute Dev. Square of Dev
Homework: pg. 142 #29, 30 pg. 147 # ) A B C D ) A B C D ) A B
The Binomial Distributions
Normal Distribution.
Sample Proportions Section 9.2
Warm Up Your textbook provides the following data on the height of men and women. Mean Std. Dev Men Women ) What is the z score.
Presentation transcript:

Lec. 11 – The Normal Distribution

Differences among these plots?

How to “standardize” (shift and stretch the Gaussian to a mean of 0 and a std. dev. of 1): Note that “any linear function of the normal variable X, aX+b, where a and b are constants, also has a normal distribution with mean = a  +b, and std. dev.= a  * See also “Comparing Normal Populations” in Davis, pp

Standardization and the use of tables…

Standard cumulative percentage table for a normally-distributed population

Table of percentage points for a normally-distributed population

Standardization to calculate exceedence

But, we don’t want to be tethered to these tables… Write a MATLAB code that calculates the values of the tables and displays them graphically (i.e. plot up the gaussian p.d.f. and its cumulative brother).