Finding Probability Using the Normal Curve

Slides:



Advertisements
Similar presentations
Chapter 6 – Normal Probability Distributions
Advertisements

Section 6-3 Applications of Normal Distributions.
The Normal Distribution
Section 5.2 ~ Properties of the Normal Distribution
6-3 Applications of Normal Distributions This section presents methods for working with normal distributions that are not standard. That is, the mean is.
Chapter 6 Introduction to Continuous Probability Distributions
Applications of Normal Distributions
Applications of Normal Distributions
Module 6: Continuous Probability Distributions
Slide Slide 1 Copyright © 2007 Pearson Education, Inc Publishing as Pearson Addison-Wesley. Section 6-3 Applications of Normal Distributions Created by.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Lecture Slides Elementary Statistics Eleventh Edition and the Triola Statistics Series by.
Chapter 6 Normal Probability Distributions
1. Normal Curve 2. Normally Distributed Outcomes 3. Properties of Normal Curve 4. Standard Normal Curve 5. The Normal Distribution 6. Percentile 7. Probability.
Statistics Normal Probability Distributions Chapter 6 Example Problems.
The Central Limit Theorem. A water taxi sank in Baltimore’s Inner Harbor. Assume the weights of men is are normally distributed with a mean of 172.
Quiz 5 Normal Probability Distribution.
Objectives (BPS 3) The Normal distributions Density curves
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
Chapter 6 The Normal Probability Distribution
Applications of the Normal Distribution
Section 7.1 The STANDARD NORMAL CURVE
Statistics Sampling Distributions
Chapter Six Normal Curves and Sampling Probability Distributions.
Section 2.2, Part 1 Standard Normal Calculations AP Statistics Berkley High School/CASA.
1 Chapter 5. Section 5-1 and 5-2. Triola, Elementary Statistics, Eighth Edition. Copyright Addison Wesley Longman M ARIO F. T RIOLA E IGHTH E DITION.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 6 Random Variables 6.1 Discrete and Continuous.
Probabilistic & Statistical Techniques Eng. Tamer Eshtawi First Semester Eng. Tamer Eshtawi First Semester
Normal Distributions.
What is normal?. Standard Normal Distribution The standard normal distribution is a special case of the normal distribution. It is the distribution.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 6 Normal Probability Distributions 6-1 Review and Preview 6-2 The Standard Normal.
Chapter 6 Normal Probability Distribution Lecture 1 Sections: 6.1 – 6.2.
Normal Distributions.  Symmetric Distribution ◦ Any normal distribution is symmetric Negatively Skewed (Left-skewed) distribution When a majority of.
The Normal Distribution Chapter 6. Outline 6-1Introduction 6-2Properties of a Normal Distribution 6-3The Standard Normal Distribution 6-4Applications.
Introduction to Probability and Statistics Thirteenth Edition
Non-standard Normal Distribution OBJ Determine the z-score of a non-standard normal distribution and find its area under the normal curve.
The Normal distributions BPS chapter 3 © 2006 W.H. Freeman and Company.
Z Score The z value or z score tells the number of standard deviations the original measurement is from the mean. The z value is in standard units.
Slide Slide 1 Lecture 6&7 CHS 221 Biostatistics Dr. Wajed Hatamleh.
Continuous Random Variables Continuous random variables can assume the infinitely many values corresponding to real numbers. Examples: lengths, masses.
The Standard Normal Distribution Section 5.2. The Standard Score The standard score, or z-score, represents the number of standard deviations a random.
MATB344 Applied Statistics Chapter 6 The Normal Probability Distribution.
§ 5.3 Normal Distributions: Finding Values. Probability and Normal Distributions If a random variable, x, is normally distributed, you can find the probability.
LECTURE 21 THURSDAY, 5 November STA 291 Fall
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Section 6-3 Applications of Normal Distributions.
Introduction to Probability and Statistics Thirteenth Edition Chapter 6 The Normal Probability Distribution.
Applications of Normal Distributions. In this section we work with nonstandard normal distributions (the kind that are found in nature). To work with.
Chapter 5 Review. Find the area of the indicated region under the standard normal curve. Use the table and show your work. Find the areas to the left.
The Standard Normal Distribution Section Starter Weights of adult male Norwegian Elkhounds are N(42, 2) pounds. What weight would represent the.
Standard Normal Calculations 2.2 Standard Normal Calculations 2.2 Target Goal: I can standardize individual values and compare them using a common scale.
Slide Slide 1 Suppose we are interested in the probability that z is less than P(z < 1.42) = z*z*
Honors Advanced Algebra Presentation 1-6. Vocabulary.
Section 5.2: PROBABILITY AND THE NORMAL DISTRIBUTION.
Copyright © 1998, Triola, Elementary Statistics Addison Wesley Longman 1 Nonstandard Normal Distributions: Finding Probabilities Section 5-3 M A R I O.
Normal Distribution S-ID.4 Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages.
Chapter 6 Lecture 2 Section: 6.3. Application of Normal Distribution In the previous section, we learned about finding the probability of a continuous.
The Normal Distribution Chapter 2 Continuous Random Variable A continuous random variable: –Represented by a function/graph. –Area under the curve represents.
Section 2 Standard Units and Areas under the Standard Normal Distribution.
Normal Probability Distributions Normal Probability Plots.
Applications of Normal Distributions
Introductory Statistics Introductory Statistics
Lecture Slides Elementary Statistics Twelfth Edition
Applications of Normal Distributions
Applications of the Normal Distribution
Lecture Slides Elementary Statistics Twelfth Edition
Section 2.2 Standard Normal Calculations
Chapter 6 Lecture 2 Section: 6.3.
Use the graph of the given normal distribution to identify μ and σ.
Applications of the Normal Distribution
6.2 Use Normal Distributions
6.2 Use Normal Distributions
Presentation transcript:

Finding Probability Using the Normal Curve Section 6.3

Objectives Calculate probability using normal distribution

Key Concept This section presents methods for working with normal distributions that are not standard (NON-STANDARD). That is the mean, m, is not 0 or the standard deviation, s is not 1 or both. The key concept is that we transform the original variable, x, to a standard normal distribution by using the following formula:

Conversion Formula

Converting to Standard Normal Distribution x -   z = Tell students to round z score answers to two decimal places if using Table A-2 from the text. P P  x z (a) (b)

Cautions!!!! Choose the correct (left/right) of the graph Negative z-score implies it is located to the left of the mean Positive z-score implies it is located to the right of the mean Area less than 50% is to the left, while area more than 50% is to the right Areas (or probabilities) are positive or zero values, but they are never negative

Example According to the American College Test (ACT), results from the 2004 ACT testing found that students had a mean reading score of 21.3 with a standard deviation of 6.0. Assuming that the scores are normally distributed: Find the probability that a randomly selected student has a reading ACT score less than 20 Find the probability that a randomly selected student has a reading ACT score between 18 and 24 Find the probability that a randomly selected student has a reading ACT score greater than 30

Example Women’s heights are normally distributed with a mean 63.6 inches and standard deviation 2.5 inches. The US Army requires women’s heights to be between 58 inches and 80 inches. Find the percentage of women meeting that height requirement. Are many women being denied the opportunity to join the Army because they are too short or too tall?

Find z-Values Using the Normal Curve Section 6.4

Example According to the American College Test (ACT), results from the 2004 ACT testing found that students had a mean reading score of 21.3 with a standard deviation of 6.0. Assuming that the scores are normally distributed: Find the 75th percentile for the ACT reading scores

Example The lengths of pregnancies are normally distributed with a mean of 268 days and a standard deviation of 15 days. One classical use of the normal distribution is inspired by a letter to “Dear Abby” in which a wife claimed to have given birth 308 days after a brief visit from her husband, who was serving in the Navy. Given this information, find the probability of a pregnancy lasting 308 days or longer. What does this result suggest? If we stipulate that a baby is premature if the length of the pregnancy is in the lowest 4%, find the length that separates premature babies from those who are not premature. Premature babies often require special care, and this result could be helpful to hospital administrators in planning for that care

Example Men’s heights are normally distributed with a mean of 69.0 inches and standard deviation of 2.8 inches. The standard casket has an inside length of 78 inches What percentage of men are too tall to fit in a standard casket? A manufacturer of caskets wants to reduce production costs by making smaller caskets. What inside length would fit all men except the tallest 1%?

Assignment Page 270 #1-7 odd Page 279 #19-25 odd