Warm Up Calculate the average Broncos score for the 2013 Season!

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 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 Normal Distribution
Normal distribution. An example from class HEIGHTS OF MOTHERS CLASS LIMITS(in.)FREQUENCY
Homework for 2.1 Day 1: 41, 43, 45, 47, 49, 51. 1) To use the rule to estimate the percent of observations from a Normal Distribution that.
2-5 : Normal Distribution
Random Variables zDiscrete Random Variables: a random variable that can assume only a countable number of values. The value of a discrete random variable.
The Normal Distribution
Ch 11 – Probability & Statistics
Discrete and Continuous Random Variables Continuous random variable: A variable whose values are not restricted – The Normal Distribution Discrete.
5.4 The Central Limit Theorem Statistics Mrs. Spitz Fall 2008.
Normal Probability Distributions Chapter 5. § 5.1 Introduction to Normal Distributions and the Standard Distribution.
Continuous Probability Distributions A continuous random variable can assume any value in an interval on the real line or in a collection of intervals.
Properties of Normal Distributions 1- The entire family of normal distribution is differentiated by its mean µ and its standard deviation σ. 2- The.
Normal Distributions.
The distribution of heights of adult American men is approximately normal with mean 69 inches and standard deviation 2.5 inches. Use the rule.
Chapter 12 – Probability and Statistics 12.7 – The Normal Distribution.
NOTES The Normal Distribution. In earlier courses, you have explored data in the following ways: By plotting data (histogram, stemplot, bar graph, etc.)
Continuous Random Variables Continuous Random Variables Chapter 6.
Normal Distributions.
© 2008 Pearson Addison-Wesley. All rights reserved Chapter 1 Section 13-5 The Normal Distribution.
Chapter 6.1 Normal Distributions. Distributions Normal Distribution A normal distribution is a continuous, bell-shaped distribution of a variable. Normal.
Normal Probability Distributions Larson/Farber 4th ed 1.
Normal Curves and Sampling Distributions Chapter 7.
When we collect data from an experiment, it can be “distributed” (spread out) in different ways.
The Normal Distribution Chapter 6. Outline 6-1Introduction 6-2Properties of a Normal Distribution 6-3The Standard Normal Distribution 6-4Applications.
Normal Probability Distributions Chapter 5. § 5.1 Introduction to Normal Distributions and the Standard Distribution.
The properties of a normal distribution: It is a bell-shaped curve. It is symmetrical about the mean, μ. (The mean, the mode and the median all have the.
Statistical Measures. Measures of Central Tendency O Sometimes it is convenient to have one number that describes a set of data. This number is called.
§ 5.3 Normal Distributions: Finding Values. Probability and Normal Distributions If a random variable, x, is normally distributed, you can find the probability.
Properties of Normal Distributions 1- The entire family of normal distribution is differentiated by its mean µ and its standard deviation σ. 2- The highest.
Ch 2 The Normal Distribution 2.1 Density Curves and the Normal Distribution 2.2 Standard Normal Calculations.
Chapter 6 The Normal Distribution.  The Normal Distribution  The Standard Normal Distribution  Applications of Normal Distributions  Sampling Distributions.
Chapter 5 Normal Probability Distributions 1 Larson/Farber 4th ed.
Math 3 Warm Up 4/23/12 Find the probability mean and standard deviation for the following data. 2, 4, 5, 6, 5, 5, 5, 2, 2, 4, 4, 3, 3, 1, 2, 2, 3,
Continuous Probability Distribution By: Dr. Wan Azlinda Binti Wan Mohamed.
Chapter 9 – The Normal Distribution Math 22 Introductory Statistics.
Honors Advanced Algebra Presentation 1-6. Vocabulary.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.
Copyright © 2015, 2012, and 2009 Pearson Education, Inc. 1 Chapter Normal Probability Distributions 5.
Normal Probability Distributions. Intro to Normal Distributions & the STANDARD Normal Distribution.
Empirical Rule 68% 95% 99.7% % RULE Empirical Rule—restated 68% of the data values fall within 1 standard deviation of the mean in either direction.
Let’s recap what we know how to do: We can use normalcdf to find the area under the normal curve between two z-scores. We proved the empirical rule this.
The distribution of heights of adult American men is approximately normal with mean 69 inches and standard deviation 2.5 inches. Use the rule.
Normal Distribution Prepared by: Ameer Sameer Hamood
The Normal Distribution
Unit II: Research Method: Statistics
Normal Distribution When we collect data from an experiment, it can be “distributed” (spread out) in different ways.
The Central Limit Theorem
Normal Distribution.
Normal Distribution Many things closely follow a Normal Distribution:
Elementary Statistics: Picturing The World
Normal Distribution.
The Distribution Normality
Warm Up If there are 2000 students total in the school, what percentage of the students are in each region?
Warm Up If there are 2000 students total in the school, what percentage of the students are in each section?
Normal Probability Distributions
7-7 Statistics The Normal Curve.
Normal Distribution.
Normal Distribution Z-distribution.
Describing Distributions
10-5 The normal distribution
Warm Up If there are 2000 students total in the school, what percentage of the students are in each section?
Normal Distribution A normal distribution, sometimes called the bell curve, is a distribution that occurs naturally in many situations. For example, the bell.
Describing Distribution
Normal Distribution.
Chapter 12 Statistics.
Presentation transcript:

Warm Up Calculate the average Broncos score for the 2013 Season! nothing Warm Up Calculate the average Broncos score for the 2013 Season! 24, 27, 10, 10, 34, 37, 20, 51, 35, 31, 27, 28, 45, 33, 35, 52, 52, 37, 41, 49, 24, 26 A 33

What type of distribution is this? http://www.mathsisfun.com/data/quincunx.html Hook

Check List Using the website provided, fill out the graphic organizer handout for Normal Distribution and Standard Deviation Answer the questions to check your understanding of Normal Distribution and Standard Deviation on page 2 of your handout

Data Distribution Data can be “distributed” (spread out) in different ways

Check it out!! http://www.shodor.org/interactivate/activities/Histogram/

A Bell Curve

What are some examples of things that follow a Normal Distribution? Heights of people Size of things produced by machines Errors in measurements Blood Pressure Test Scores

Normal Distribution Curve mean=median=mode Symmetry about the center 50% of the values less than the mean and 50% greater than the mean

The Standard Deviation : 68% of values are within 1 standard deviation of the mean The Standard Deviation : 95% of values are within 2 standard deviations of the mean is a measure of how spread out numbers are. 99.7% of values are within 3 standard deviations of the mean

Why do we need to know Standard Deviation? Any value is likely to be within 1 standard deviation of the mean very likely to be within 2 standard deviations almost certainly within 3 standard deviations

LET’S RECAP!

The properties of a normal distribution: It is a bell-shaped curve. It is symmetrical about the mean, μ. (The mean, the mode and the median all have the same value). The total area under the curve is 1 (or 100%). 50% of the area is to the left of the mean, and 50% to the right. 50% 50% μ

The properties of a normal distribution: It is a bell-shaped curve. It is symmetrical about the mean, μ. (The mean, the mode and the median all have the same value). The total area under the curve is 1 (or 100%). 50% of the area is to the left of the mean, and 50% to the right. Approximately 68% of the area is within 1 standard deviation, σ, of the mean. 68% σ σ μ - σ μ μ + σ

The properties of a normal distribution: It is a bell-shaped curve. It is symmetrical about the mean, μ. (The mean, the mode and the median all have the same value). The total area under the curve is 1 (or 100%). 50% of the area is to the left of the mean, and 50% to the right. Approximately 68% of the area is within 1 standard deviation, σ, of the mean. Approximately 95% of the area is within 2 standard deviations of the mean. 95% σ σ σ σ μ - 2σ μ - σ μ μ + σ μ + 2σ

The properties of a normal distribution: It is a bell-shaped curve. It is symmetrical about the mean, μ. (The mean, the mode and the median all have the same value). The total area under the curve is 1 (or 100%). 50% of the area is to the left of the mean, and 50% to the right. Approximately 68% of the area is within 1 standard deviation, σ, of the mean. Approximately 95% of the area is within 2 standard deviations of the mean. Approximately 99% of the area is within 3 standard deviations of the mean. 99% σ σ σ σ σ σ μ - 3σ μ - 2σ μ - σ μ μ + σ μ + 2σ μ + 3σ

You can use a white board or a scrap piece of paper! LET’S PRACTICE! You can use a white board or a scrap piece of paper!

WE DO: 95 % of students at school are between 1.1 m and 1.7 m tall. Assuming this data is normally distributed can you calculate the mean and standard deviation?

YOU DO: 68% of American’s own a dog between 4 and 6 years old. nothing -2 YOU DO: 68% of American’s own a dog between 4 and 6 years old. HideAns Assuming this data is normally distributed can you calculate the mean? A- 5

Represent this information on a bell curve: WE DO: The reaction times for a hand-eye coordination test administered to 1800 teenagers are normally distributed with a mean of .35 seconds and a standard deviation of .05 seconds. Represent this information on a bell curve: About how many teens had reaction times between .25 and .45 seconds? What is the probability that a teenager selected at random had a reaction greater than .4 seconds?

Represent this information on a bell curve: YOU DO: The waiting times for an elevator are normally distributed with a mean of 1.5 minutes and a standard deviation of 20 seconds. Represent this information on a bell curve: Find the probability that a person waits longer than 2 minutes 10 seconds for the elevator.

Represent this information on a bell curve: YOU DO: Mrs. Smith gave a test in her Algebra 2 class. The scores were normally distributed with a mean of 85 and a standard deviation of 3. Represent this information on a bell curve: What percent would you expect to score between 82 and 88?

Represent this information on a bell curve. YOU DO: The heights of 250 twenty-year-old women are normally distributed with a mean of 1.68 m and standard deviation of 0.06 m. Represent this information on a bell curve. Find the probability that a woman has a height between 1.56 m and 1.74 m

Exit Ticket Turn in to front folders on your way out!