Normal Curves and Sampling Distributions Chapter 7.

Slides:



Advertisements
Similar presentations
Chapter 5 Some Key Ingredients for Inferential Statistics: The Normal Curve, Probability, and Population Versus Sample.
Advertisements

The Rule Normal Distributions.
Chapter 9: The Normal Distribution
How do I use normal distributions in finding probabilities?
Distribution of Sample Means, the Central Limit Theorem If we take a new sample, the sample mean varies. Thus the sample mean has a distribution, called.
§ Approximately Normal Distributions; Normal Curves.
Continuous Random Variables and Probability Distributions
Chapter 8 – Normal Probability Distribution A probability distribution in which the random variable is continuous is a continuous probability distribution.
Sullivan – Statistics: Informed Decisions Using Data – 2 nd Edition – Chapter 3 Introduction – Slide 1 of 3 Topic 17 Standard Deviation, Z score, and Normal.
The 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.
The Normal Distribution
Chapter 13 Statistics © 2008 Pearson Addison-Wesley. All rights reserved.
Chapter 13, Part 1 STA 200 Summer I At this point… we have a couple of methods for graphing a data set (histogram, stem-and-leaf plot) we have a.
Chapter 9 – 1 Chapter 6: The Normal Distribution Properties of the Normal Distribution Shapes of Normal Distributions Standard (Z) Scores The Standard.
Chapter 13 Section 7 – Slide 1 Copyright © 2009 Pearson Education, Inc. AND.
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.
CONTINUOUS RANDOM VARIABLES AND THE NORMAL DISTRIBUTION.
Understanding Basic Statistics Chapter Seven Normal Distributions.
Chapter 5 The Normal Curve. In This Presentation  This presentation will introduce The Normal Curve Z scores The use of the Normal Curve table (Appendix.
Continuous Random Variables Continuous Random Variables Chapter 6.
Chapter 6 The Normal Curve. A Density Curve is a curve that: *is always on or above the horizontal axis *has an area of exactly 1 underneath it *describes.
© 2008 Pearson Addison-Wesley. All rights reserved Chapter 1 Section 13-5 The Normal Distribution.
Slide 1 © 2002 McGraw-Hill Australia, PPTs t/a Introductory Mathematics & Statistics for Business 4e by John S. Croucher 1 n Learning Objectives –Identify.
The future is not come yet and the past is gone. Uphold our loving kindness at this instant, and be committed to our duties and responsibilities right.
Chapter 6.1 Normal Distributions. Distributions Normal Distribution A normal distribution is a continuous, bell-shaped distribution of a variable. Normal.
6.3 Continuous Random Variables and the Normal Probability Distribution Objectives: By the end of this section, I will be able to… 1) Identify a continuous.
Normal Distributions.  Symmetric Distribution ◦ Any normal distribution is symmetric Negatively Skewed (Left-skewed) distribution When a majority of.
Graphs of Normal Probability Distributions The graph of a normal distribution is called a normal curve. It takes on the shape of a bell and is referred.
The Normal Distribution Chapter 6. Outline 6-1Introduction 6-2Properties of a Normal Distribution 6-3The Standard Normal Distribution 6-4Applications.
Chapter Six Normal Curves and Sampling Probability Distributions.
Chapter 6 The Normal Distribution. A continuous, symmetric, bell-shaped distribution of a variable.
Chapter 3 Data Description Section 3-3 Measures of Variation.
Normal Distribution. Normal Distribution: Symmetric: Mean = Median = Mode.
Standard Deviation and the Normally Distributed Data Set
Copyright © Cengage Learning. All rights reserved. 2 Descriptive Analysis and Presentation of Single-Variable Data.
ECON 338/ENVR 305 CLICKER QUESTIONS Statistics – Question Set #2 (from Chapter2)
INTRODUCTORY MATHEMATICAL ANALYSIS For Business, Economics, and the Life and Social Sciences  2011 Pearson Education, Inc. Chapter 16 Continuous Random.
2.4 Measures of Variation Coach Bridges NOTES. What you should learn…. How to find the range of a data set How to find the range of a data set How to.
Modeling Distributions
Chapter 3 The Normal Distributions. Chapter outline 1. Density curves 2. Normal distributions 3. The rule 4. The standard normal distribution.
Section 2.4: Measures of Spread. Example: Using the number of days of vacation for 6 students, find the range, variance and standard deviation. (this.
Chapter 9 – The Normal Distribution Math 22 Introductory Statistics.
+ Unit 4 – Normal Distributions Week 9 Ms. Sanchez.
The Normal Distribution: Comparing Apples and Oranges.
Chapter 7 The Normal Probability Distribution 7.1 Properties of the Normal Distribution.
Unit 6 Section : Introduction to Normal Distributions and Standard Normal Distributions  A normal distribution is a continuous, symmetric, bell.
Unit 4: Normal Distributions Part 1 Statistics Mr. Evans.
Chapter 6: The Normal Distribution
The Normal Distribution Name:________________________.
CHAPTER 6 6-1:Normal Distribution Instructor: Alaa saud Note: This PowerPoint is only a summary and your main source should be the book.
CHAPTER 5: THE NORMAL DISTRIBUTION Leon-Guerrero and Frankfort-Nachmias, Essentials of Statistics for a Diverse Society.
Copyright (C) 2006 Houghton Mifflin Company. All rights reserved. 1 The Normal Distribution.
MATB344 Applied Statistics
Chapter 7 The Normal Probability Distribution
Using the Empirical Rule
Chapter 2: Modeling Distributions of Data
ANATOMY OF THE EMPIRICAL RULE
Warmup What is the height? What proportion of data is more than 5?
12/1/2018 Normal Distributions
Teacher Introductory Statistics Lesson 2.4 D
7-7 Statistics The Normal Curve.
Chapter 6: Normal Distributions
CHAPTER 2 Modeling Distributions of Data
Sec Introduction to Normal Distributions
Chapter 3: Modeling Distributions of Data
Section 13.6 The Normal Curve
Presentation transcript:

Normal Curves and Sampling Distributions Chapter 7

Important Properties of a Normal Curve

Empirical Rule For a distribution that is symmetrical an bell-shaped (in particular, for a normal distribution): Approximately 68% of the data values will lie within 1 standard deviation on each side of the mean. Approximately 95% of the data values will lie within 2 standard deviations on each side of the mean. Approximately 99.7% of the data values will lie within 3 standard deviations on each side of the mean.

Z Scores

Standard Normal Distribution

Using a Standard Normal Distribution Table See Table 3 of the appendix Find the area to the left of z = -1.1 Find the area to the left of z = 1.2 Find the area to the right of z = 1.2 Find the area between z = -1.1 and z = 1.2