S ECTION 3.3 Measures of Variation. A Q UESTION OF T WO S AMPLES Think of the measures of center that we have learned about so far. What measure of center.

Slides:



Advertisements
Similar presentations
Measures of Variation Section 3-3. Objectives Describe data using measures of variation, such as range, variance, and standard deviation.
Advertisements

Statistical Reasoning for everyday life
1 Chapter 2. Section 2-5. Triola, Elementary Statistics, Eighth Edition. Copyright Addison Wesley Longman M ARIO F. T RIOLA E IGHTH E DITION E LEMENTARY.
STATISTICS ELEMENTARY MARIO F. TRIOLA
Calculating & Reporting Healthcare Statistics
The standard error of the sample mean and confidence intervals
Variability Measures of spread of scores range: highest - lowest standard deviation: average difference from mean variance: average squared difference.
3-3 Measures of Variation. Definition The range of a set of data values is the difference between the maximum data value and the minimum data value. Range.
Learning Objectives In this chapter you will learn about the importance of variation how to measure variation range variance standard deviation.
Measures of Variability: Range, Variance, and Standard Deviation
Chapter 4 Measures of Variability
Jeopardy Hypothesis Testing T-test Basics T for Indep. Samples Z-scores Probability $100 $200$200 $300 $500 $400 $300 $400 $300 $400 $500 $400.
Measurement Tools for Science Observation Hypothesis generation Hypothesis testing.
12.3 – Measures of Dispersion Dispersion is another analytical method to study data. Two of the most common measures of dispersion are the range and the.
Slide 1 Lecture 4: Measures of Variation Given a stem –and-leaf plot Be able to find »Mean ( * * )/10=46.7 »Median (50+51)/2=50.5 »mode.
1 Measure of Center  Measure of Center the value at the center or middle of a data set 1.Mean 2.Median 3.Mode 4.Midrange (rarely used)
Statistics Class 4 February 11th , 2012.
Chapter 3 Descriptive Measures
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
Slide Slide 1 Section 3-3 Measures of Variation. Slide Slide 2 Key Concept Because this section introduces the concept of variation, which is something.
Descriptive Statistics Measures of Variation. Essentials: Measures of Variation (Variation – a must for statistical analysis.) Know the types of measures.
 The range of a data set is the difference between the maximum and minimum data entries in the set. The find the range, the data must be quantitative.
Variability. Statistics means never having to say you're certain. Statistics - Chapter 42.
 The data set below gives the points per game averages for the 10 players who had the highest averages (minimum 70 games or 1400 points) during the
Measures of Variation Section 3-3.
3.2 Measures of Dispersion. D ATA ● Comparing two sets of data ● The measures of central tendency (mean, median, mode) measure the differences between.
Statistics Numerical Representation of Data Part 2 – Measure of Variation.
3.1 Measures of Central Tendency. Ch. 3 Numerically Summarizing Data The arithmetic mean of a variable is computed by determining the sum of all the values.
S ECTION 3.3 Measures of Variation. A NOTHER N EW M EASURE - V ARIANCE OF A S AMPLE Definition The variance of a set of values is a measure of variation.
Chapter 3 Numerically Summarizing Data 3.2 Measures of Dispersion.
Objectives The student will be able to: find the variance of a data set. find the standard deviation of a data set.
Section 3-3 Measures of Variation. WAITING TIMES AT DIFFERENT BANKS Jefferson Valley Bank (single waiting line) Bank of Providence.
Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 3 Section 2 – Slide 1 of 27 Chapter 3 Section 2 Measures of Dispersion.
Psychology’s Statistics. Statistics Are a means to make data more meaningful Provide a method of organizing information so that it can be understood.
1 Measure of Center  Measure of Center the value at the center or middle of a data set 1.Mean 2.Median 3.Mode 4.Midrange (rarely used)
Unit 3 Lesson 2 (4.2) Numerical Methods for Describing Data
Copyright © 1998, Triola, Elementary Statistics Addison Wesley Longman 1 Measures of Variance Section 2-5 M A R I O F. T R I O L A Copyright © 1998, Triola,
Variability Pick up little assignments from Wed. class.
1 Descriptive Statistics 2-1 Overview 2-2 Summarizing Data with Frequency Tables 2-3 Pictures of Data 2-4 Measures of Center 2-5 Measures of Variation.
1 Measures of Center. 2 Measure of Center  Measure of Center the value at the center or middle of a data set 1.Mean 2.Median 3.Mode 4.Midrange (rarely.
Statistics Describing, Exploring and Comparing Data
1 Chapter 2. Section 2-5. Triola, Elementary Statistics, Eighth Edition. Copyright Addison Wesley Longman M ARIO F. T RIOLA E IGHTH E DITION E LEMENTARY.
Chapter 5: Measures of Dispersion. Dispersion or variation in statistics is the degree to which the responses or values obtained from the respondents.
Objectives The student will be able to:
Standard Deviation A Measure of Variation in a set of Data.
Using Standard Deviation in AP Biology. Why would we use the standard deviation to analyze our lab result? In statistics and probability theory, standard.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Lecture Slides Elementary Statistics Eleventh Edition and the Triola Statistics Series by.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved.Copyright © 2010 Pearson Education Section 3-3 Measures of Variation.
Z-scores, normal distribution, and more.  The bell curve is a symmetric curve, with the center of the graph being the high point, and the two sides on.
CHAPTER 3 – Numerical Techniques for Describing Data 3.1 Measures of Central Tendency 3.2 Measures of Variability.
Chapter 6: Random Errors in Chemical Analysis. 6A The nature of random errors Random, or indeterminate, errors can never be totally eliminated and are.
Chapter Measures of Variation 3.3 Measures of Variation Bank waiting times In the first bank, the manager carefully controls waiting times by changing.
2.4 Measures of Variation The Range of a data set is simply: Range = (Max. entry) – (Min. entry)
Measures of Variation. Variation Variation describes how widely data values are spread out about the center of a distribution.
Section 3.3 Measures of Variation.
Measures of Dispersion
Elementary Statistics
Objectives The student will be able to:
__________.
Variability.
Variability.
Estimating Population Variance
Variance Variance: Standard deviation:
Lecture Slides Elementary Statistics Twelfth Edition
Variability.
Unit 6B Measures of Variation Ms. Young.
How do we categorize and make sense of data?
Lecture Slides Elementary Statistics Twelfth Edition
Measures of Dispersion (Spread)
Variability.
Presentation transcript:

S ECTION 3.3 Measures of Variation

A Q UESTION OF T WO S AMPLES Think of the measures of center that we have learned about so far. What measure of center do these two samples have in common? Both samples have the same mean.

A N EW M EASURE Clearly these 5 samples have many differences … but that is not apparent if we start analyzing them with the tools we already know. We need a new measure.

S TANDARD D EVIATION OF A S AMPLE Definition The standard deviation of a set of sample values, denoted by s, is a measure of variation of values about the mean. It is a type of average deviation of values from the mean that is calculated by using the following formula.

I MPORTANT N OTES The standard deviation is a measure of variation of all values from the mean. The value of the standard deviation is usually positive. (It is sometimes zero, but it is never negative). The units of the standard deviation are the same as the units of the original data values. CAUTION: Is NOT a resistant measure of center.

A PPLICATION As of 2010, India had 1 satellite used for military and intelligence purposes, Japan has 3, and Russia has 14. Find the range and the standard deviation for this information.

A PPLICATION – S ATELLITES & S TANDARD D EVIATION Step 1: Compute the mean Step 2: Subtract the mean from each individual sample value. Step 3: Square each of the deviations obtained from step 2. Step 4: Add all of the squares obtained from step 3. Step 5: Divide the total from step 4 by the number n-1. Step 6: Find the square root of the result from step 5.

M ATH S WAGG – C ALCULATOR S KILLZ

S O … W HY S HOULD W E C ARE ? The Range Rule of Thumb The vast majority (such as 95%) of sample values lie within two standard deviations of the mean. Years to Earn Bachelor’s Degree Listed below are the lengths of time (in years) it took for a random sample of students to earn bachelor’s degrees (based on data from the U.S National Center for Education Statistics). Based on these results, is it usual for someone to earn a bachelor’s degree in 12 years? 4, 4, 4, 4, 4, 4, 4.5, 4.5, 4.5, 4.5, 4.5, 4.5, 6, 6, 8, 9, 9, 13, 13, 15

A NOTHER N EW M EASURE - V ARIANCE OF A S AMPLE Definition The variance of a set of values is a measure of variation equal to the square of the standard deviation. Sample variance

I MPORTANT N OTES The sample variance is an unbiased estimator. Example: Consider an IQ test designed so that the population variance is 225. If you repeat the process of randomly selecting 100 subjects, giving them IQ tests, and calculating the sample variance in each case, the sample variances you will obtain will tend to center around 225. The units of the variance are NOT the same as the units of the original data values.

P RACTICE Pg. 110 #7-9

H OMEWORK Q UIZ Ms. Pobuda find that the times (in seconds) required to complete a homework quiz have a mean of 180 seconds and a standard deviation of 30 seconds. Would it be unfair for Ms. Pobuda to set a time limit of 90 seconds for her homework quizzes? Why or why not?

R EAL L IFE A PPLICATION – C USTOMER W AITING T IMES Do you prefer single waiting lines or multiple wait lines?

R EAL L IFE A PPLICATION – C USTOMER W AITING T IMES Waiting times (in minutes) of customers at the Jefferson Valley Bank (where all customers enter a single waiting line) and the Bank of Providence (where all customers wait in individual lines at three different teller windows) are listed below. Determine whether there is a difference between the two data sets. Jefferson Valley Providence

M INI -A CTIVITY Write your height in inches up on the side of the board. Once everyone’s height is on the board, use your calculator to calculate the standard deviation of our class’ heights.

A PPLICATION Would any of the characters of Eclipse have an “usual” height in our class?

A DDITIONAL P RACTICE Pg. 111 # 14-16