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.

Slides:



Advertisements
Similar presentations
5.1 Normal Probability Distributions Normal distribution A continuous probability distribution for a continuous random variable, x. The most important.
Advertisements

Normal Probability Distributions
Normal Distribution Sampling and Probability. Properties of a Normal Distribution Mean = median = mode There are the same number of scores below and.
Normal Probability Distributions 1 Chapter 5. Chapter Outline Introduction to Normal Distributions and the Standard Normal Distribution 5.2 Normal.
Section 5.1 Introduction to Normal Distributions and the Standard Normal Distribution.
THE STANDARD NORMAL Unit 5, Day 3. Learning Goals for Today I can state the difference between a Normal Distribution and a Standard Normal Distribution.
Normal Distributions & the Empirical Rule
How do I use normal distributions in finding probabilities?
Warm-up Find the equation of the median-median line that has the following summary points: (4, 20) (6, 11) (10, 2)
Fitting to a Normal Distribution
Discrete and Continuous Random Variables Continuous random variable: A variable whose values are not restricted – The Normal Distribution Discrete.
1. Normal Curve 2. Normally Distributed Outcomes 3. Properties of Normal Curve 4. Standard Normal Curve 5. The Normal Distribution 6. Percentile 7. Probability.
5.4 The Central Limit Theorem Statistics Mrs. Spitz Fall 2008.
Table of Contents Unit 1 Inferences and Conclusions from Data Unit 2 Polynomial Functions Unit 3 Rational and Radical Relationships Unit 4 Exponential.
Introduction to Normal Distributions and the Standard Distribution
Chapter 13 Statistics © 2008 Pearson Addison-Wesley. All rights reserved.
Normal Probability Distributions 1. Section 1 Introduction to Normal Distributions 2.
Chapter 8 Extension Normal Distributions. Objectives Recognize normally distributed data Use the characteristics of the normal distribution to solve problems.
Section 6.3 Finding Probability Using the Normal Curve HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2008 by Hawkes Learning Systems/Quant.
Normal Distributions.
7.4 Use Normal Distributions HW Quiz: August Quiz: August 20.
Interpreting Performance Data
Normal Probability Distributions Larson/Farber 4th ed 1.
Normal Curves and Sampling Distributions Chapter 7.
Normal Probability Distributions Chapter 5. § 5.4 Sampling Distributions and the Central Limit Theorem.
Normal Probability Distributions
381 Continuous Probability Distributions (The Normal Distribution-II) QSCI 381 – Lecture 17 (Larson and Farber, Sect )
The Standard Normal Distribution Section 5.2. The Standard Score The standard score, or z-score, represents the number of standard deviations a random.
§ 5.3 Normal Distributions: Finding Values. Probability and Normal Distributions If a random variable, x, is normally distributed, you can find the probability.
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.
Holt Algebra 2 11-Ext Normal Distributions 11-Ext Normal Distributions Holt Algebra 2 Lesson Presentation Lesson Presentation.
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.
Chapter 5 Normal Probability Distributions 1 Larson/Farber 4th ed.
Holt McDougal Algebra 2 Fitting to a Normal Distribution Holt Algebra 2 Warm Up Warm Up Lesson Presentation Lesson Presentation Lesson Quiz Lesson Quiz.
Practice Page 128 –#6.7 –#6.8 Practice Page 128 –#6.7 =.0668 = test scores are normally distributed –#6.8 a =.0832 b =.2912 c =.4778.
Chapter 9 – The Normal Distribution Math 22 Introductory Statistics.
Normal Probability Distributions Chapter 5. § 5.1 Introduction to Normal Distributions and the Standard Distribution.
Honors Advanced Algebra Presentation 1-6. Vocabulary.
7.4 (Purple) Use Normal Distributions Midterm: TOMORROW *Answers to the review book work is on my teacher page* Statistics Quiz: Friday.
Normal Distributions MM2D1d Compare the means and standard deviations of random samples with the corresponding population parameters, including those population.
Normal Probability Distributions. Intro to Normal Distributions & the STANDARD Normal Distribution.
6.2 – USE NORMAL DISTRIBUTIONS Unit 6 – Data Analysis and Probability.
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.
7.4 Normal Distributions. EXAMPLE 1 Find a normal probability SOLUTION The probability that a randomly selected x -value lies between – 2σ and is.
Normal Probability Distributions 1 Larson/Farber 4th ed.
Discrete Math Section 17.4 Recognize various types of distributions. Apply normal distribution properties. A normal distribution is a bell shaped curve.
Intro to Normal Distribution AS Maths with Liz Stats 1.
Do Now   Algebra 2.
Normal Probability Distributions
Chapter 7 The Normal Probability Distribution
How do we compare properties of two functions?
Fitting to a Normal Distribution
The Central Limit Theorem
5.2 Normal Distributions: Finding Probabilities
Chapter 12 Statistics 2012 Pearson Education, Inc.
Introduction to the Normal Curve
Putting It All Together
Using the Normal Distribution
How do we use properties to simplify logarithmic expressions?
Normal Probability Distributions
Normal Probability Distributions
How do I use normal distributions in finding probabilities?
Use the graph of the given normal distribution to identify μ and σ.
Suppose that the random variable X has a distribution with a density curve that looks like the following: The sampling distribution of the mean of.
10-5 The normal distribution
Fitting to a Normal Distribution
Fitting to a Normal Distribution
Normal Distributions 11-Ext Lesson Presentation Holt Algebra 2.
Normal Distributions and the Empirical Rule
Chapter 12 Statistics.
Presentation transcript:

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 that are not normal?

Holt McDougal Algebra 2 Significance of Experimental Results Standard Deviation of a Data Set A normal distribution with mean x and standard deviation  has these properties: x x –  x +  x – 2  x + 2  x – 3  x + 3  68% 95% 99.7% 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 % 13.5% 2.35% 0.15% x x –  x +  x – 2  x + 2  x – 3  x + 3  0.15%

Holt McDougal Algebra 2 Significance of Experimental Results Find a normal probability 1.A normal distribution has a mean x and standard deviation . For a randomly selected x- value from the distribution, find x x –  x +  x – 2  x + 2  x – 3  x + 3 

Holt McDougal Algebra 2 Significance of Experimental Results Interpret normally distributed data 2.The math scores of an exam are normally distributed with a mean of 518 and a standard deviation of a.About what percent of the test-takers have scores between 518 and 748? b.About what percent of the test-takers have scores less than 403? c.About what percent of the test-takers have scores between 403 and 633?

Holt McDougal Algebra 2 Significance of Experimental Results Interpret normally distributed data. 3.The heights (in feet) of fully grown white oak trees are normally distributed with a mean of 90 feet and a standard deviation of 3.5 feet ? a.About what probability of white oak trees have heights between 86.5 feet and 93.5 feet? ? b.About what probability of white oak trees have heights between 79.5 feet and 86.5 feet? ? c.About what probability of white oak trees have heights greater than 93.5 feet?

Holt McDougal Algebra 2 Measures of Central Tendency and Variation Lesson 2.3 Practice A

Holt McDougal Algebra 2 Significance of Experimental Results