How do I use normal distributions in finding probabilities?

Slides:



Advertisements
Similar presentations
How do I use normal distributions in finding probabilities?
Advertisements

The Standard Normal Distribution Area =.05 Area =.5 Area = z P(Z≤ 1.645)=0.95 (Area Under Curve) Shaded area =0.95.
Normal Distributions Review
1. Normal Curve 2. Normally Distributed Outcomes 3. Properties of Normal Curve 4. Standard Normal Curve 5. The Normal Distribution 6. Percentile 7. Probability.
6.3 Use Normal Distributions
Unit 4: Normal Distributions Part 3 Statistics. Focus Points Find the areas under the standard normal curve Find data from standard normal table.
BPT 2423 – STATISTICAL PROCESS CONTROL.  Frequency Distribution  Normal Distribution / Probability  Areas Under The Normal Curve  Application of Normal.
§ 5.2 Normal Distributions: Finding Probabilities.
Chapter Six Normal Curves and Sampling Probability Distributions.
Chapter 6: The Normal Probability Distribution This chapter is to introduce you to the concepts of normal distributions.  E.g. if a large number of students.
Using the Standard Normal Distribution to Solve SPC Problems
Section 6.3 Finding Probability Using the Normal Curve HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2008 by Hawkes Learning Systems/Quant.
Chapter 6.1 Normal Distributions. Distributions Normal Distribution A normal distribution is a continuous, bell-shaped distribution of a variable. Normal.
Normal Curves and Sampling Distributions Chapter 7.
Normal Distributions.  Symmetric Distribution ◦ Any normal distribution is symmetric Negatively Skewed (Left-skewed) distribution When a majority of.
Table A & Its Applications - The entry in Table A - Table A’s entry is an area underneath the curve, to the left of z Table A’s entry is a proportion of.
7.3 and 7.4 Extra Practice Quiz: TOMORROW THIS REVIEW IS ON MY TEACHER WEB PAGE!!!
The Standard Normal Distribution Section 5.2. The Standard Score The standard score, or z-score, represents the number of standard deviations a random.
7.4 Normal Distributions Part II p GUIDED PRACTICE From Yesterday’s notes A normal distribution has mean and standard deviation σ. Find the indicated.
§ 5.3 Normal Distributions: Finding Values. Probability and Normal Distributions If a random variable, x, is normally distributed, you can find the probability.
INTRODUCTORY MATHEMATICAL ANALYSIS For Business, Economics, and the Life and Social Sciences  2011 Pearson Education, Inc. Chapter 16 Continuous Random.
Holt McDougal Algebra 2 Significance of Experimental Results How do we use tables to estimate areas under normal curves? How do we recognize data sets.
Review Continuous Random Variables Density Curves
2.2 Standard Normal Calculations
EXAMPLE 1 Find a normal probability SOLUTION The probability that a randomly selected x -value lies between – 2σ and is the shaded area under the normal.
What does a population that is normally distributed look like? X 80  = 80 and  =
7.4 Use Normal Distributions p Normal Distribution A bell-shaped curve is called a normal curve. It is symmetric about the mean. The percentage.
EXAMPLE 3 Use a z-score and the standard normal table Scientists conducted aerial surveys of a seal sanctuary and recorded the number x of seals they observed.
Chapter 9 – The Normal Distribution Math 22 Introductory Statistics.
7.4 Use Normal Distributions p Warm-Up From Page 261 (Homework.) You must show all of your work for credit 1.) #9 2.) #11.
Honors Advanced Algebra Presentation 1-6. Vocabulary.
Table A & Its Applications - The entry in Table A - Table A is based on standard Normal distribution N(0, 1) An area underneath the curve, less than z.
Normal Probability Distributions. Intro to Normal Distributions & the STANDARD Normal Distribution.
Normal Probability Distributions Chapter 5. § 5.2 Normal Distributions: Finding Probabilities.
7.4 Normal Distributions. EXAMPLE 1 Find a normal probability SOLUTION The probability that a randomly selected x -value lies between – 2σ and is.
Section 5.1 Introduction to Normal Distributions © 2012 Pearson Education, Inc. All rights reserved. 1 of 104.
Discrete Math Section 17.4 Recognize various types of distributions. Apply normal distribution properties. A normal distribution is a bell shaped curve.
Introduction to Normal Distributions
Chapter 7 The Normal Probability Distribution
Chapter 5 Normal Probability Distributions.
Finding Probability Using the Normal Curve
5.2 Normal Distributions: Finding Probabilities
Finding Probabilities
What does a population that is normally distributed look like?
Standard and non-standard
Lesson 11.1 Normal Distributions (Day 2)
Chapter 12 Statistics 2012 Pearson Education, Inc.
Theoretical Normal Curve
Use Normal Distributions
Standard Normal Calculations
Finding z-scores using Chart
NORMAL PROBABILITY DISTRIBUTIONS
Sections 5-1 and 5-2 Quiz Review Warm-Up
Areas Under Any Normal Curve
Normal Probability Distributions
Using the Normal Distribution
Use the graph of the given normal distribution to identify μ and σ.
Areas Under Any Normal Curve
MATH 2311 Section 4.3.
Sec Introduction to Normal Distributions
Normal Distributions and Z-Scores
Introduction to Normal Distributions
Chapter 5 Normal Probability Distributions.
6.2 Use Normal Distributions
Chapter 5 Normal Probability Distributions.
6.2 Use Normal Distributions
Normal Distribution.
Homework: pg. 500 #41, 42, 47, )a. Mean is 31 seconds.
Introduction to Normal Distributions
Chapter 12 Statistics.
Presentation transcript:

How do I use normal distributions in finding probabilities? Thursday, November 4 Essential Questions How do I use normal distributions in finding probabilities?

Use Normal Distributions 7.4 Use Normal Distributions Standard Deviation of a Data Set A normal distribution with mean x and standard deviation s has these properties: The total area under the related normal curve is ____. About ___% of the area lies within 1 standard deviation of the mean. About ___% of the area lies within 2 standard deviation of the mean. About _____% of the area lies within 3 standard deviation of the mean. 34% 34% x – s + s – 2s + 2s – 3s + 3s 68% 95% 13.5% 13.5% 2.35% 2.35% 99.7% x – 3s x – 2s x – s x + s x + 2s x + 3s 0.15% 0.15% x

Use Normal Distributions 7.4 Use Normal Distributions Example 1 Find a normal probability x – s + s – 2s + 2s – 3s + 3s A normal distribution has a mean x and standard deviation s. For a randomly selected x-value from the distribution, find Solution The probability that a randomly selected x-value lies between _______ and _________ is the shaded area under the normal curve. Therefore:

Use Normal Distributions 7.4 Use Normal Distributions Checkpoint. Complete the following exercise. A normal distribution has mean x and standard deviation s. For a randomly selected x-value from the distribution, find x – s + s – 2s + 2s – 3s + 3s

Use Normal Distributions 7.4 Use Normal Distributions Example 2 Interpret normally distributed data The math scores of an exam for the state of Georgia are normally distributed with a mean of 496 and a standard deviation of 109. About what percent of the test-takers received scores between 387 and 605? 169 278 387 496 605 714 823 Solution The scores of 387 and 605 represent ____ standard deviation on either side of the mean. So the percent of test-takers with scores between 387 and 605 is

Use Normal Distributions 7.4 Use Normal Distributions Checkpoint. Complete the following exercise. In Example 2, what percent of the test-takers received scores between 496 and 714? 34% 13.5% 169 278 387 496 605 714 823

Use Normal Distributions 7.4 Use Normal Distributions Example 3 Use a z-score and the standard normal table In Example 2, find the probability that a randomly selected test-taker received a math score of at most 630? Solution Sep 1 Find the z-score corresponding to an x-value of 630.

Use Normal Distributions 7.4 Use Normal Distributions Example 3 Use a z-score and the standard normal table In Example 2, find the probability that a randomly selected test-taker received a math score of at most 630? Solution Sep 2 Use the standard normal table to find The table shows that P(z < ____) = _______. z .0 .1 .2 -3 .0013 .0010 .0007 -2 .0228 .0179 .0139 -1 .1587 .1357 .1151 -0 .5000 .4602 .4207 .5398 .5793 1 .8413 .8643 .8849 So, the probability that a randomly selected test-taker received a math score of at most 630 is about ________.

Use Normal Distributions 7.4 Use Normal Distributions Checkpoint. Complete the following exercise. In Example 3, find the probability that a randomly selected test-taker received a math score of at most 620?

Use Normal Distributions 7.4 Use Normal Distributions Pg. 277, 7.4 #1-21