Slide 13 - 1 Copyright © 2009 Pearson Education, Inc. Unit 9 Seminar Agenda Final Project and Due Dates Measures of Central Tendency Measures of Dispersion.

Slides:



Advertisements
Similar presentations
HS 67 - Intro Health Statistics Describing Distributions with Numbers
Advertisements

Unit 16: Statistics Sections 16AB Central Tendency/Measures of Spread.
B a c kn e x t h o m e Parameters and Statistics statistic A statistic is a descriptive measure computed from a sample of data. parameter A parameter is.
Business Math, Eighth Edition Cleaves/Hobbs © 2009 Pearson Education, Inc. Upper Saddle River, NJ All Rights Reserved 7.1 Measures of Central Tendency.
Introductory Mathematics & Statistics
Central Tendency and Variability Chapter 4. Central Tendency >Mean: arithmetic average Add up all scores, divide by number of scores >Median: middle score.
The arithmetic mean of a variable is computed by determining the sum of all the values of the variable in the data set divided by the number of observations.
MEASURES of CENTRAL TENDENCY.
Describing Data: Numerical
Chapter 3 Descriptive Measures
Measures of Central Tendency Mode Median Mean. The Mode the value or property that occurs most frequently in the data.
Chapter 13 Section 5 - Slide 1 Copyright © 2009 Pearson Education, Inc. AND.
MGQ 201 WEEK 4 VICTORIA LOJACONO. Help Me Solve This Tool.
1 Business Math Chapter 7: Business Statistics. Cleaves/Hobbs: Business Math, 7e Copyright 2005 by Pearson Education, Inc. Upper Saddle River, NJ
BIOSTAT - 2 The final averages for the last 200 students who took this course are Are you worried?
© Copyright McGraw-Hill CHAPTER 3 Data Description.
Copyright (C) 2002 Houghton Mifflin Company. All rights reserved. 1 Understandable Statistics Seventh Edition By Brase and Brase Prepared by: Lynn Smith.
© 2006 McGraw-Hill Higher Education. All rights reserved. Numbers Numbers mean different things in different situations. Consider three answers that appear.
BUS250 Seminar 4. Mean: the arithmetic average of a set of data or sum of the values divided by the number of values. Median: the middle value of a data.
Slide 13-1 Copyright © 2005 Pearson Education, Inc. SEVENTH EDITION and EXPANDED SEVENTH EDITION.
Table of Contents 1. Standard Deviation
© 2006 McGraw-Hill Higher Education. All rights reserved. Numbers Numbers mean different things in different situations. Consider three answers that appear.
Chapter 22 Business Statistics McGraw-Hill/Irwin Copyright © 2003 by The McGraw-Hill Companies, Inc. All rights reserved.
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.
Psychology’s Statistics. Statistics Are a means to make data more meaningful Provide a method of organizing information so that it can be understood.
Copyright (C) 2002 Houghton Mifflin Company. All rights reserved. 1 Averages and Variation.
According to researchers, the average American guy is 31 years old, 5 feet 10 inches, 172 pounds, works 6.1 hours daily, and sleeps 7.7 hours. These numbers.
DATA ANALYSIS n Measures of Central Tendency F MEAN F MODE F MEDIAN.
INVESTIGATION 1.
Understanding Basic Statistics Fourth Edition By Brase and Brase Prepared by: Lynn Smith Gloucester County College Chapter Three Averages and Variation.
Educational Research: Competencies for Analysis and Application, 9 th edition. Gay, Mills, & Airasian © 2009 Pearson Education, Inc. All rights reserved.
1 1 Slide IS 310 – Business Statistics IS 310 Business Statistics CSU Long Beach.
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 Descriptive Statistics Descriptive Statistics Ernesto Diaz Faculty – Mathematics Redwood High School.
Can't Type? press F11 Can’t Hear? Check: Speakers, Volume or Re-Enter Seminar Put ? in front of Questions so it is easier to see them. 1 Graded Projects.
Statistics Unit 9 only requires us to do Sections 1 & 2. * If we have time, there are some topics in Sections 3 & 4, that I will also cover. They tie in.
Statistics topics from both Math 1 and Math 2, both featured on the GHSGT.
Lesson 25 Finding measures of central tendency and dispersion.
CHAPTER 2: Basic Summary Statistics
Adapted from Pearson Education, Inc. Copyright © 2009 Pearson Education, Inc. Welcome to MM150! Kirsten Meymaris Thursday, Mar. 31st Plan for the hour.
Chapter 2 Describing and Presenting a Distribution of Scores.
1 STAT 500 – Statistics for Managers STAT 500 Statistics for Managers.
Measures of Central Tendency PS Algebra I. Objectives Given a set of data, be able to find the following: 1) mean* 2) median* 3) mode* 4) range 5) first.
Measures of Central Tendency, Dispersion, IQR and Standard Deviation How do we describe data using statistical measures? M2 Unit 4: Day 1.
Copyright © 2016 Brooks/Cole Cengage Learning Intro to Statistics Part II Descriptive Statistics Intro to Statistics Part II Descriptive Statistics Ernesto.
 2012 Pearson Education, Inc. Slide Chapter 12 Statistics.
©2013, The McGraw-Hill Companies, Inc. All Rights Reserved Chapter 2 Describing and Presenting a Distribution of Scores.
Statics – Part II Chapter 9. Mean The mean, is the sum of the data divided by the number of pieces of data. The formula for calculating the mean is where.
MM150 ~ Unit 9 Statistics ~ Part II. WHAT YOU WILL LEARN Mode, median, mean, and midrange Percentiles and quartiles Range and standard deviation z-scores.
 2012 Pearson Education, Inc. Slide Chapter 12 Statistics.
Copyright © 2009 Pearson Education, Inc. Chapter 13 Section 5 - Slide 1 Section 5 Measures of Central Tendency.
An Introduction to Statistics
AND.
Descriptive Statistics Ernesto Diaz Faculty – Mathematics
Descriptive Statistics ( )
Measures of Central Tendency
Intro to Statistics Part II Descriptive Statistics
Chapter 12 Statistics 2012 Pearson Education, Inc.
Intro to Statistics Part II Descriptive Statistics
Lesson 6.2 Mean, Median, Mode and Range
Measures of Dispersion
Numerical Descriptive Measures
Section 13.4 Measures of Central Tendency
CHAPTER 2: Basic Summary Statistics
First Quartile- Q1 The middle of the lower half of data.
14.2 Measures of Central Tendency
Lecture 4 Psyc 300A.
Measures of Central Tendency
Section 13.5 Measures of Dispersion
Presentation transcript:

Slide Copyright © 2009 Pearson Education, Inc. Unit 9 Seminar Agenda Final Project and Due Dates Measures of Central Tendency Measures of Dispersion Celebrate!

Slide Copyright © 2009 Pearson Education, Inc. Final Project and Due Dates Final project is due to the dropbox by Tuesday, September 6 th by 11:59 PM ET. Late final projects will be docked 5% per day late and will not be accepted after 4 days late. If you have any questions about the assignment requirements there is a page in the Unit 9 introduction with all of the info you should need, as well as some sample projects to give you an idea of what I'm expecting from the finished product. Late assignments: The last day to submit any late assignments or message board posts will be Sunday, September 11 th, 11:59 PM ET.

Slide Copyright © 2009 Pearson Education, Inc. An average is a number that is representative of a group of data. The arithmetic mean, or simply the mean is symbolized by, when it is a sample of a population or by the Greek letter mu, , when it is the entire population. 9.1 Measures of Central Tendency

Slide Copyright © 2009 Pearson Education, Inc. Mean The mean, is the sum of the data divided by the number of pieces of data. The formula for calculating the mean is where  x represents the sum of all the data and n represents the number of pieces of data.

Slide Copyright © 2009 Pearson Education, Inc. Example-find the mean Find the mean amount of money parents spent on new school supplies and clothes if 5 parents randomly surveyed replied as follows: $327 $465 $672 $150 $230

Slide Copyright © 2009 Pearson Education, Inc. Median The median is the value in the middle of a set of ranked data. Example: Determine the median of $327 $465 $672 $150 $230. Rank the data from smallest to largest. $150 $230 $327 $465 $672 middle value (median)

Slide Copyright © 2009 Pearson Education, Inc. Example: Median (even data) Determine the median of the following set of data: 8, 15, 9, 3, 4, 7, 11, 12, 6, 4. Rank the data: There are 10 pieces of data so the median will lie halfway between the two middle pieces the 7 and 8. The median is (7 + 8)/2 = (median) middle value

Slide Copyright © 2009 Pearson Education, Inc. Mode The mode is the piece of data that occurs most frequently. Example: Determine the mode of the data set: 3, 4, 4, 6, 7, 8, 9, 11, 12, 15. The mode is 4 since it occurs twice and the other values only occur once.

Slide Copyright © 2009 Pearson Education, Inc. Example The weights of eight Labrador retrievers rounded to the nearest pound are 85, 92, 88, 75, 94, 88, 84, and 101. Determine the a) mean b) median c) mode

Slide Copyright © 2009 Pearson Education, Inc. Example--dog weights 85, 92, 88, 75, 94, 88, 84, 101 a. Mean b.Median Rank the data: 75, 84, 85, 88, 88, 92, 94, 101 The median is 88. c.Mode-the number that occurs most frequently. The mode is 88.

Slide Copyright © 2009 Pearson Education, Inc. Measures of Position Measures of position are often used to make comparisons. Two measures of position are percentiles and quartiles. Both measure how many data points are less than the given value. 1 st Quartile – 25% of the data values are less than the 1 st Quartile 99 th Percentile – 99% of the data values are less than the 99 th Percentile

Slide Copyright © 2009 Pearson Education, Inc. To Find the Quartiles of a Set of Data 1.Order the data from smallest to largest. 2.Find the median, or 2 nd quartile, of the set of data. If there are an odd number of pieces of data, the median is the middle value. If there are an even number of pieces of data, the median will be halfway between the two middle pieces of data.

Slide Copyright © 2009 Pearson Education, Inc. To Find the Quartiles of a Set of Data continued 3.The first quartile, Q 1, is the median of the lower half of the data; that is, Q 1, is the median of the data less than Q 2. 4.The third quartile, Q 3, is the median of the upper half of the data; that is, Q 3 is the median of the data greater than Q 2.

Slide Copyright © 2009 Pearson Education, Inc. Example: Quartiles The weekly grocery bills for 23 families are as follows. Determine Q 1, Q 2, and Q

Slide Copyright © 2009 Pearson Education, Inc. Example: Quartiles continued Order the data: Q 2 is the median of the entire data set which is 190. Q 1 is the median of the numbers from 50 to 172 which is 95. Q 3 is the median of the numbers from 210 to 330 which is 270.

Slide Copyright © 2009 Pearson Education, Inc. Measures of Dispersion Measures of dispersion are used to indicate the spread of the data. The range is the difference between the highest and lowest values; it indicates the total spread of the data. Range = highest value – lowest value

Slide Copyright © 2009 Pearson Education, Inc. Example: Range Nine different employees were selected and the amount of their salary was recorded. Find the range of the salaries. $24,000$32,000 $26,500 $56,000 $48,000 $27,000 $28,500 $34,500 $56,750 Range = $56,750  $24,000 = $32,750

Slide Copyright © 2009 Pearson Education, Inc. Standard Deviation The standard deviation measures how much the data differ from the mean. It is symbolized with s when it is calculated for a sample, and with  (Greek letter sigma) when it is calculated for a population.

Slide Copyright © 2009 Pearson Education, Inc. To compute mean and standard deviation using a calculator In Windows choose Start > Accessories > Calculator Select View > Statistics Enter numbers then the Add key to create a list Use the x-bar key for mean Use the σ(n-1) key for sample standard deviation

Slide Copyright © 2009 Pearson Education, Inc. To compute mean and standard deviation using the web/Excel In Excel use the Average() function for mean. Use the Stdev() function for sample standard deviation.

Slide Copyright © 2009 Pearson Education, Inc. To Find the Standard Deviation of a Set of Data 1. Find the mean of the set of data. 2. Make a chart having three columns: Data Data - Mean (Data - Mean) 2 3. List the data vertically under the column marked Data. 4. Subtract the mean from each piece of data and place the difference in the Data - Mean column.

Slide Copyright © 2009 Pearson Education, Inc. To Find the Standard Deviation of a Set of Data continued 5.Square the values obtained in the Data - Mean column and record these values in the (Data - Mean) 2 column. 6.Determine the sum of the values in the (Data - Mean) 2 column. 7.Divide the sum obtained in step 6 by n - 1, where n is the number of pieces of data. 8.Determine the square root of the number obtained in step 7. This number is the standard deviation of the set of data.

Slide Copyright © 2009 Pearson Education, Inc. Example Find the standard deviation of the following prices of selected washing machines: $280, $217, $665, $684, $939, $299 Find the mean.

Slide Copyright © 2009 Pearson Education, Inc. Example continued, mean = , , , , ,225  ,756  (  297) 2 = 88,209  (Data  Mean) 2 Data  Mean Data

Slide Copyright © 2009 Pearson Education, Inc. Example continued, mean = 514 The standard deviation is $