QBM117 Business Statistics

Slides:



Advertisements
Similar presentations
Quantitative Methods Topic 5 Probability Distributions
Advertisements

Factor each trinomial:
Chapter 6: The Standard Deviation as a Ruler and the Normal Model
The Standard Deviation as a Ruler + The Normal Model
Credit Cards 101. Shopping for A Credit Card Comparison shop credit cards Dont take the first offer that comes to you: –Pre-approval Means nothing No.
Jeopardy Q 1 Q 6 Q 11 Q 16 Q 21 Q 2 Q 7 Q 12 Q 17 Q 22 Q 3 Q 8 Q 13
Jeopardy Q 1 Q 6 Q 11 Q 16 Q 21 Q 2 Q 7 Q 12 Q 17 Q 22 Q 3 Q 8 Q 13
CALENDAR.
Making a Line Plot Collect data and put in chronological order
Sampling Distributions and Estimators
Copyright © 2010 Pearson Education, Inc. Slide The number of sweatshirts a vendor sells daily has the following probability distribution. Num of.
0 - 0.
1 1  1 =.
2 pt 3 pt 4 pt 5 pt 1 pt 2 pt 3 pt 4 pt 5 pt 1 pt 2 pt 3 pt 4 pt 5 pt 1 pt 2 pt 3 pt 4 pt 5 pt 1 pt 2 pt 3 pt 4 pt 5 pt 1 pt Time Money AdditionSubtraction.
Addition Facts
2.11.
Lecture 7 THE NORMAL AND STANDARD NORMAL DISTRIBUTIONS
Lecture 2 ANALYSIS OF VARIANCE: AN INTRODUCTION
Chapter 6 ~ Normal Probability Distributions
The 5S numbers game..
Inflation, Activity and Nominal Money Growth
Learning Objectives for Section 3.2
Lecture 4 PY 427 Statistics 1 Fall 2006 Kin Ching Kong, Ph.D
Box and Whiskers with Outliers. Outlier…… An extremely high or an extremely low value in the data set when compared with the rest of the values. The IQR.
The basics for simulations
Department of Engineering Management, Information and Systems
Splash Screen.
Scoring Terminology Used in Assessment in Special Education
In this chapter, look for the answers to these questions:
Mental Math Math Team Skills Test 20-Question Sample.
Normal Distributions: Finding Values
Chapter 6 The Normal Distribution Fundamental Statistics for the Behavioral Sciences, 5th edition David C. Howell © 2003 Brooks/Cole Publishing Company/ITP.
5-1 Chapter 5 Theory & Problems of Probability & Statistics Murray R. Spiegel Sampling Theory.
Ethan Cooper (Lead Tutor)
Chapter 2.3 Counting Sample Points Combination In many problems we are interested in the number of ways of selecting r objects from n without regard to.
MCQ Chapter 07.
Normal Distribution A random variable X having a probability density function given by the formula is said to have a Normal Distribution with parameters.
Chapter 6 The Normal Distribution Normal Distributions Bell Curve Area under entire curve = 1 or 100% Mean = Median – This means the curve is symmetric.
Chapter 10 Estimating Means and Proportions
SHOWTIME! STATISTICAL TOOLS FOR EVALUATION THE NORMAL CURVE AND PROBABILITY.
5.3 Normal Distributions: Finding Values
15.4 The Normal Distribution Objectives:
CHAPTER Discrete Models  G eneral distributions  C lassical: Binomial, Poisson, etc Continuous Models  G eneral distributions  C.
Multiple Choice Warm-up to go with SD and Normal Distribution Worksheet 1) 2) 3) 4) There is no 5 and 6. #1)
Section 5.3 Normal Distributions: Finding Values 1Larson/Farber 4th ed.
Quantitative Analysis (Statistics Week 8)
The Normal distribution and z-scores: The Normal curve is a mathematical abstraction which conveniently describes ("models") many frequency distributions.
Module 16: One-sample t-tests and Confidence Intervals
Finding Z – scores & Normal Distribution Using the Standard Normal Distribution Week 9 Chapter’s 5.1, 5.2, 5.3.
Addition 1’s to 20.
25 seconds left…...
Z-Scores are measurements of how far from the center (mean) a data value falls. Ex: A man who stands 71.5 inches tall is 1 standard deviation ABOVE the.
Based upon the Empirical Rule, we know the approximate percentage of data that falls between certain standard deviations on a normal distribution curve.
Putting Statistics to Work
Copyright © 2011 Pearson Education, Inc. Putting Statistics to Work.
Statistical Inferences Based on Two Samples
The Right Questions about Statistics: How hypothesis testing works Maths Learning Centre The University of Adelaide A hypothesis test is designed to DECIDE.
We will resume in: 25 Minutes.
Tutorial: Understanding the normal curve. Gauss Next mouse click.
Partial Products. Category 1 1 x 3-digit problems.
Lial/Hungerford/Holcomb/Mullins: Mathematics with Applications 11e Finite Mathematics with Applications 11e Copyright ©2015 Pearson Education, Inc. All.
CHAPTER 14: Confidence Intervals: The Basics
The Normal Probability Distribution and Z-scores Using the Normal Curve to Find Probabilities.
Commonly Used Distributions
Let’s Add! Click the cloud below for a secret question! Get Started!
Schutzvermerk nach DIN 34 beachten 05/04/15 Seite 1 Training EPAM and CANopen Basic Solution: Password * * Level 1 Level 2 * Level 3 Password2 IP-Adr.
QBM117 Business Statistics Probability and Probability Distributions The Normal Distribution 1.
Wamup What information can you get from the graph? Which had a more symmetrical distribution of scores?
Other Normal Distributions
Lecture 21 Section – Fri, Oct 15, 2004
Presentation transcript:

QBM117 Business Statistics Probability and Probability Distributions The Normal Distribution continued 1

Objectives To learn how to use the Z tables in reverse to find the value of Z corresponding to a known probability. To learn how to use the Z tables in reverse to find the value of X corresponding to a known probability. 2

Finding Values That Correspond to Known Probabilities Start by looking on the inside of the table for the known probability. Then move to the outside of the table to determine the associated z value. Then back transform to obtain the associated x value. 3

Example 1 An area of 0.4370 lies under the standard normal curve between the mean and a given positive z score. What is the value of that z score? We want to find such that The z value corresponding to the area of 0.4370 is 4

Example 2 An area of 0.25 lies under the standard normal curve between the mean and a given positive z score. What is the value of that z score? We want to find such that 5

To find we search the table for the probability 0.25. We don’t find this probability but we find two that are close: 0.2486 and 0.2517. 0.25 is closer to 0.2486 than it is to 0.2517. And so we look up the z value associated with 0.2486, which is

Example 3 An area of 0.05 lies under the standard normal curve above a given positive z score. What is the value of that z score? We want to find such that 7

Hence we want to find such that 8

To find we search the table for the probability 0.45. We don’t find this probability but we find two that are close: 0.4495 and 0.4505 0.45 is exactly half way between 0.4495 and 0.4505. And so we look up the z value associated with both probabilities and average them. The Z values associated with these probabilities are 1.64 and 1.65. The average of these values is 1.645, hence 9

Exercise 1 Find the value for which 10

Example 3 Scores of an aptitude test given by a training department of a large company are normally distributed with a mean of 75 points and a standard deviation of 5 points.The company has decided that people who score in the bottom 10% of the test scores will not receive any additional job training. If there are to be layoffs, these people will be among the first to be cut. What cut-off score on the test should the company use? 11

Let X = the score on the aptitude test We want to find the value of X that has 10% below it. 12

First we find the value of Z that has 10% below it and then we back transform to find the corresponding value of X. We want to find such that Using the Z tables we find 13

We now need to back transform to find Therefore the company should set the cut-off at 68.6 points. 14

Example 3 continued The company is planning to give extra training to employees who score in the top 2% of those taking the test. The company would like to identify the score to use as the cut-off point. 15

Recall that X = the score on the aptitude test We want to find the value of X that has 2% above it. 16

First we need to find the value of Z that has 2% above it. From the Z tables we find Hence Therefore the cut-off should be 82.25 points.

Exercise 2 The marks for a first year statistics exam are normally distributed with a mean of 72 and a standard deviation of 14. Suppose the lecturer wants to assign High Distinctions to the top 15% and fail the bottom 20%. What is the cut-off score for a HD? What is the pass mark?

Exercise 3 The number of pages printed before replacing the cartridge in a laser printer is normally distributed with a mean of 11500 pages and a standard deviation of 800 pages. The manufacturer wants to provide guidelines to potential customers advising them the minimum number of pages they can expect from each cartridge. How many pages should it advertise if the company wants to be correct 99% of the time?

Exercise 4 The Rural Bank is reviewing its service charges and interest-paying policies on cheque accounts. The bank has found that the average daily balance on personal cheque accounts is normally distributed with a mean of $550.00 and a standard deviation of $150.00. What percentage of personal cheque account customers carry average daily balances below $200?

The bank is considering paying interest to customers carrying average daily balances in excess of a certain amount. If the bank does not want to pay interest to more than 8% of its customers, what is the minimum average daily balance it should be willing to pay interest on?

Exercises 5.33 5.79 22