Warm-Up To become president of the United States, a candidate does not have to receive a majority of the popular vote. The candidate does have to win a.

Slides:



Advertisements
Similar presentations
An article on peanut butter reported the following scores (quality ratings on a scale of 0 to 100) for various brands. Construct a comparative stem-and-leaf.
Advertisements

STUDENTS WILL DEMONSTRATE UNDERSTANDING OF THE CALCULATION OF STANDARD DEVIATION AND CONSTRUCTION OF A BELL CURVE Standard Deviation & The Bell Curve.
Different Distributions Consider the range of the data (the minimum point to the maximum point). If there is no mode, then the distribution is relatively.
CHAPTER 1 Exploring Data
Statistics 1: Introduction to Probability and Statistics Section 3-3.
Variance and Standard Deviation The Expected Value of a random variable gives the average value of the distribution The Standard Deviation shows how spread.
Homework Questions. Quiz! Shhh…. Once you are finished you can work on the warm- up (grab a handout)!
Chapter 4 SUMMARIZING SCORES WITH MEASURES OF VARIABILITY.
Standard Deviation. Two classes took a recent quiz. There were 10 students in each class, and each class had an average score of 81.5.
Recap All about measures of location Mean Median Mode
LECTURE 12 Tuesday, 6 October STA291 Fall Five-Number Summary (Review) 2 Maximum, Upper Quartile, Median, Lower Quartile, Minimum Statistical Software.
Data Analysis: Part 3 Lesson 7.1. Data Analysis: Part 3 MM2D1. Using sample data, students will make informal inferences about population means and standard.
Variance and Standard Deviation
LECTURE 8 Thursday, 19 February STA291 Fall 2008.
Table of Contents 1. Standard Deviation
1 2.4 Describing Distributions Numerically – cont. Describing Symmetric Data.
Although the 5 number summary is very useful for describing a data set, it is not the most widely used. The most common measures are the mean for the center.
Standard Deviation Link for follow along worksheet:
Measures of Dispersion How far the data is spread out.
Numerical Statistics Given a set of data (numbers and a context) we are interested in how to describe the entire set without listing all the elements.
Describing Quantitative Data Numerically Symmetric Distributions Mean, Variance, and Standard Deviation.
Unit 3 Lesson 2 (4.2) Numerical Methods for Describing Data
A Short Tour of Probability & Statistics Presented by: Nick Bennett, Grass Roots Consulting & GUTS Josh Thorp, Stigmergic Consulting & GUTS Irene Lee,
Describing Quantitative Data with Numbers Section 1.3.
9.3 – Measures of Dispersion
Chapter 3: Averages and Variation Section 2: Measures of Dispersion.
+ Chapter 1: Exploring Data Section 1.3 Describing Quantitative Data with Numbers The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE.
Chapter 5 Normal Probability Distributions. Chapter 5 Normal Probability Distributions Section 5-4 – Sampling Distributions and the Central Limit Theorem.
Standard Deviation. Two classes took a recent quiz. There were 10 students in each class, and each class had an average score of 81.5.
How Can We Describe the Spread of Quantitative Data? 1.
Warmup  Pg 646 # 20, 28, 36  Systems – solve by graphing  y = 2x – 3  y = -3x + 2.
CHAPTER 2: Basic Summary Statistics
+ Chapter 1: Exploring Data Section 1.3 Describing Quantitative Data with Numbers The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE.
Measures of Variation. Range, Variance, & Standard Deviation.
Standard Deviation Variance and Range. Standard Deviation:  Typical distance of observations from their mean  A numerical summary that measures the.
Numerical Summaries of Quantitative Data. Means, Standard Deviations, z-scores.
2.4 Measures of Variation Prob & Stats Mrs. O’Toole.
2.4 Measures of Variation The Range of a data set is simply: Range = (Max. entry) – (Min. entry)
Chapter 1 Lesson 7 Variance and Standard Deviation.
December 12, 2011 Lesson #21: Describing Numbers with the Mean & Standard Deviation.
Data Analysis Student Text :Chapter 7. Data Analysis MM2D1. Using sample data, students will make informal inferences about population means and standard.
CHAPTER 1 Exploring Data
Variance and Standard Deviation
Chapter 7 Review.
CHAPTER 1 Exploring Data
Chapter 16: Exploratory data analysis: numerical summaries
Notes 13.2 Measures of Center & Spread
Chapter 1: Exploring Data
CHAPTER 1 Exploring Data
Standard Deviation.
Standard Deviation.
Standard Deviation.
Please take out Sec HW It is worth 20 points (2 pts
Warmup What is the shape of the distribution? Will the mean be smaller or larger than the median (don’t calculate) What is the median? Calculate the.
Standard Deviation.
Ruisheng Zhao OER – Lecture Notes Mean, Variance, and Standard Deviation, and Unusual Values Ruisheng Zhao OER –
STA 291 Spring 2008 Lecture 5 Dustin Lueker.
STA 291 Spring 2008 Lecture 5 Dustin Lueker.
Chapter 2 Exploring Data with Graphs and Numerical Summaries
Measures of Dispersion (Spread)
Describing Quantitative Data with Numbers
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Standard Deviation How many Pets?.
Chapter 1: Exploring Data
Chapter 1: Exploring Data
The Five-Number Summary
Standard Deviation.
The Electoral College Class Notes.
Standard Deviation.
Presentation transcript:

Warm-Up To become president of the United States, a candidate does not have to receive a majority of the popular vote. The candidate does have to win a majority of the 538 electoral votes that are cast in the Electoral College. Here are the number of electoral votes for each of the 50 states and the District of Columbia. Make a step and leaf plot for the data Make a box and whisker plot for the data Describe the distribution

Homework Questions

Quiz 1 st ! …then Section 1.3 Continued Numerical Summaries of Distributions

Use 3 flights from our planes Find your mean/average Find your range Instead of measuring spread by range…we need a better measure of spread… Find the average distance away from the mean for your data set Pair up and discuss how you might do that Problem solve on what goes wrong, if anything, and ways you can fix it

Let’s Discuss… What went wrong? What are some possible solutions to that problem? Why are we finding the average distance from the mean?

Standard Deviation

To find Standard Deviation Find the distance of each observation from the mean Square each of those distances Average that by dividing the sum by n-1 ◦ This = variance S x is the square root of this average

Example Here are the foot lengths (in cm) for a random sample of 14 year olds. 25, 22, 20, 25, 24, 24, 28 Mean = x

A few notes… You should use standard deviation when you used the mean for the measure of center S x is always greater than or equal to 0. S x = 0 only when there is no variability (all values have the same value) As the observations become more spread out about their mean, s x gets larger It has the same measurements as the original observation.

Homework Pg 72 ( all)