T06-02 - 1 T06-02 Normal & Standard Normal Templates Purpose T06-02 is an all in one template combining the features of the two templates T06-02.N and.

Slides:



Advertisements
Similar presentations
The Normal Distribution
Advertisements

Normal Distributions: Finding Probabilities
Introduction to Risk Analysis Using Excel. Learning Objective.
Sampling Distributions Martina Litschmannová K210.
5 - 1 © 1997 Prentice-Hall, Inc. Importance of Normal Distribution n Describes many random processes or continuous phenomena n Can be used to approximate.
Chapter 10: Sampling and Sampling Distributions
Statistical Review for Chapters 3 and 4 ISE 327 Fall 2008 Slide 1 Continuous Probability Distributions Many continuous probability distributions, including:
T T20-01 Mean Chart (Known Variation) CL Calculations Purpose Allows the analyst calculate the "Mean Chart" for known variation 3-sigma control.
T T02-06 Histogram (6 SD) Purpose Allows the analyst to analyze quantitative data by summarizing it in sorted format, scattergram by observation,
T T Population Sampling Distribution Purpose Allows the analyst to determine the mean and standard deviation of a sampling distribution.
ESAP T T02-00 Qualitative (Tabular Summary, Bar Graph, Pie Chart) Purpose Allows the analyst to analyze qualitative data by summarizing it in.
T T20-03 P Chart Control Limit Calculations Purpose Allows the analyst to calculate the proportion "P-Chart" 3-sigma control limits. Inputs Sample.
ESAP T T02-01 Quick Graphs (Line Plot, Bar Graph, Pie Chart) Purpose Allows the analyst to create line plots, bar graphs and pie charts from data,
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 6 Statistical Analysis of Experimental Data
T T02-04 Histogram (User Selected Classes) Purpose Allows the analyst to analyze quantitative data by summarizing it in sorted format, scattergram.
T T Population Variance Confidence Intervals Purpose Allows the analyst to analyze the population confidence interval for the variance.
T T18-09 Line Plot (by Observation) Purpose Allows the analyst to visually analyze up to 5 time series plots on a single graph data samples by.
T T20-00 Range Chart Control Limit Calculations Purpose Allows the analyst to calculate the "Range Chart" 3- sigma control limits based on table.
Chapter 11: Random Sampling and Sampling Distributions
Chapter 9 Numerical Integration Numerical Integration Application: Normal Distributions Copyright © The McGraw-Hill Companies, Inc. Permission required.
BPT 2423 – STATISTICAL PROCESS CONTROL.  Frequency Distribution  Normal Distribution / Probability  Areas Under The Normal Curve  Application of Normal.
HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Section 6.4.
1 Ch6. Sampling distribution Dr. Deshi Ye
Example 9.1 Gasoline Prices in the United States Sampling Distributions.
Copyright © Cengage Learning. All rights reserved. 8 Introduction to Statistical Inferences.
McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. Statistical Inferences Based on Two Samples Chapter 9.
Standard Normal Distribution
Reversing Normal Calculations Statistics 2. Reversing Normal Calculations In the previous presentation there was an example where a claim was made that.
Forging new generations of engineers. Introduction to Statistics.
Chapter 7: Sampling and Sampling Distributions
Chapter 7: Sample Variability Empirical Distribution of Sample Means.
Measures of central tendency are statistics that express the most typical or average scores in a distribution These measures are: The Mode The Median.
The Central Limit Theorem © Christine Crisp “Teach A Level Maths” Statistics 1.
6 - 1 © 1998 Prentice-Hall, Inc. Chapter 6 Sampling Distributions.
Chapter 7 Sampling and Sampling Distributions ©. Simple Random Sample simple random sample Suppose that we want to select a sample of n objects from a.
1 Chapter 8 Sampling Distributions of a Sample Mean Section 2.
Random Sampling Approximations of E(X), p.m.f, and p.d.f.
T06-02.S - 1 T06-02.S Standard Normal Distribution Graphical Purpose Allows the analyst to analyze the Standard Normal Probability Distribution. Probability.
§ 5.3 Normal Distributions: Finding Values. Probability and Normal Distributions If a random variable, x, is normally distributed, you can find the probability.
Random Variables (1) A random variable (also known as a stochastic variable), x, is a quantity such as strength, size, or weight, that depends upon a.
HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Section 6.3.
Lecture 9. Continuous Probability Distributions David R. Merrell Intermediate Empirical Methods for Public Policy and Management.
T T Population Sample Size Calculations Purpose Allows the analyst to analyze the sample size necessary to conduct "statistically significant"
5 - 1 © 1998 Prentice-Hall, Inc. Chapter 5 Continuous Random Variables.
Unit 6 Section : The Central Limit Theorem  Sampling Distribution – the probability distribution of a sample statistic that is formed when samples.
T T Population Hypothesis Tests Purpose Allows the analyst to analyze the results of hypothesis testing of the difference of 2 population.
T T05-01 Binomial Distribution Purpose Allows the analyst to analyze a Binomial Distribution with up to 50 trials. Probability Scenario's, Expected.
Probability and Statistics 12/11/2015. Statistics Review/ Excel: Objectives Be able to find the mean, median, mode and standard deviation for a set of.
T T05-02 Poisson Distribution Purpose Allows the analyst to analyze a Poisson Distribution. Probability Scenario's, Expected Value, Variance and.
Copyright © Cengage Learning. All rights reserved. 8 PROBABILITY DISTRIBUTIONS AND STATISTICS.
Normal Distribution ••••••••••••••••••••••••••••••••••
Introduction to Normal Distributions
Normal Probabilities Find the probability P(x ≤ x0), where x is a normally distributed random variable Click Insert Function (fx) Select Statistical as.
Chapter 5 Normal Probability Distributions.
Statistical Inference
Behavioral Statistics
Microsoft Office Illustrated
Elementary Statistics: Picturing The World
An Example of {AND, OR, Given that} Using a Normal Distribution
The Normal Probability Distribution Summary
Consider the following problem
Confidence intervals for the difference between two means: Independent samples Section 10.1.
10-5 The normal distribution
T20-02 Mean Chart (Unknown Variation) CL Calculations
Introduction to Normal Distributions
Chapter 5 Normal Probability Distributions.
Chapter 5 Normal Probability Distributions.
Normal Distribution Objectives: (Chapter 7, DeCoursey)
Introduction to Normal Distributions
Presentation transcript:

T T06-02 Normal & Standard Normal Templates Purpose T06-02 is an all in one template combining the features of the two templates T06-02.N and T06-02.S allowing the analyst to analyze the Normal and Standard Normal Probability Distribution. Probability Scenario's are calculated for "between", "greater than", and "less than" eliminating the need to perform calculations to use Standard Normal Distribution Tables. The template also allows the analyst to determine an X/Z value depending upon a "Cumulative Probability". A graphical representation of the Probability Scenario is also shown. Inputs Mean & Standard Deviation Normal or Standard Normal Distribution Probability Scenario Outputs Probability Scenario Solution Graph of Probability Scenario

T Normal Distribution A normal probability distribution describes many random processes or continuous phenomena. It is the basis for classical statistical inference. f ( X )=Frequency of random variable x  =Population standard deviation  = ; e = x =Value of random variable (-  < x <  )  =Population mean

T Standard Normal Distribution A normal probability distribution describes many random processes or continuous phenomena. It is the basis for classical statistical inference. f ( X )=Frequency of random variable x  =Population standard deviation =1  = ; e = x =Value of random variable (-  < x <  )  =Population mean = 0

T Battery Example A manufacturer of batteries claims that the average length of life for its grade A batteries is 60 months. Suppose the standard deviation of the life-length is 10 months and the frequency distribution of the life-length data is normally distributed. What is the probability that the batteries last a. Less than 52 months b. More than 82 months c. Between 42 and 77 months d. Determine the battery life such that the probability less than the battery life is equal to.8400?

T The Normal Distribution mean and standard deviation are entered here. Probability scenarios are automatically calculated after X values are entered. Normal Distribution worksheet tab

T Normal & Standard Normal Distribution This template allows you to calculate both Normal & Standard Normal Distribution scenarios. The previous slide shows the worksheet tab that for the template which calculates the Normal Probability Distribution scenarios. However, sometimes you may wish to calculate Standard Normal Probability Distribution scenarios. In this case there are two options: One: You can use 0 and 1 as the mean and standard deviation in the Normal Probability Distribution Two: You can use the second worksheet tab Standard Normal shown on the next slide The example demonstrates the Normal situation; however, the Standard Normal situation works the same way.

T Probability scenarios are automatically calculated after Z values are entered. Standard Normal Distribution worksheet tab

T What is the probability that the batteries last a. Less than 52 months Normal Distribution - Battery Example

T

T The EXCEL Template also provides a Normal Distribution Graph showing the Probability Scenario.

T What is the probability that the batteries last b. More than 82 months Normal Distribution - Battery Example

T The EXCEL Template calculates these answers much quicker than looking them up in a table.

T The EXCEL Template also provides a Normal Distribution Graph showing the Probability Scenario.

T What is the probability that the batteries last c. Between 42 and 77 months Normal Distribution - Battery Example

T The EXCEL Template calculates these answers much quicker than looking them up in a table.

T The EXCEL Template also provides a Normal Distribution Graph showing the Probability Scenario.

T Normal Distribution - Battery Example Determine the battery life such that the probability less than the battery life is equal to.8400? In other words, What is the value of X such that CP(X) <=.8400?

T The EXCEL Template calculates these answers much quicker than looking them up in a table. Caution : In using this portion of the template, you must enter the problem such that the input is the Cumulative Probability.

T The EXCEL Template also provides a Normal Distribution Graph showing the Probability Scenario.