Measures of Central Tendency and Dispersion from Grouped Data

Slides:



Advertisements
Similar presentations
1 1 Slide © 2003 South-Western/Thomson Learning TM Slides Prepared by JOHN S. LOUCKS St. Edward’s University.
Advertisements

Five-Number Summary 1 Smallest Value 2 First Quartile 3 Median 4
Chapter 13 Analyzing Quantitative data. LEVELS OF MEASUREMENT Nominal Measurement Ordinal Measurement Interval Measurement Ratio Measurement.
Chapter 14 Analyzing Quantitative Data. LEVELS OF MEASUREMENT Nominal Measurement Nominal Measurement Ordinal Measurement Ordinal Measurement Interval.
Intro to Descriptive Statistics
Biostatistics Unit 2 Descriptive Biostatistics 1.
Edpsy 511 Homework 1: Due 2/6.
Topics: Descriptive Statistics A road map Examining data through frequency distributions Measures of central tendency Measures of variability The normal.
Standard error of estimate & Confidence interval.
Measures of Central Tendency U. K. BAJPAI K. V. PITAMPURA.
Chapter 3 - Part B Descriptive Statistics: Numerical Methods
© Copyright McGraw-Hill CHAPTER 3 Data Description.
Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 3 Section 3 – Slide 1 of 19 Chapter 3 Section 3 Measures of Central Tendency and Dispersion.
Business and Finance Colleges Principles of Statistics Eng. Heba Hamad week
Describing Behavior Chapter 4. Data Analysis Two basic types  Descriptive Summarizes and describes the nature and properties of the data  Inferential.
Mean and Standard Deviation of Grouped Data Make a frequency table Compute the midpoint (x) for each class. Count the number of entries in each class (f).
Statistics Numerical Representation of Data Part 2 – Measure of Variation.
1 1 Slide Slides Prepared by JOHN S. LOUCKS St. Edward’s University © 2002 South-Western/Thomson Learning.
1 1 Slide The Weighted Mean and Working with Grouped Data n The Weighted Mean n Mean for Grouped Data n Variance for Grouped Data n Standard Deviation.
WARM UP Find the mean, median, mode, and range 1. 5, 10, 19, 34, 16, , 22, 304, 425, 219, 304, 22, 975 When you are done the warm up put the calculator.
3.3 Working with Grouped Data Objectives: By the end of this section, I will be able to… 1) Calculate the weighted mean. 2) Estimate the mean for grouped.
Determination of Sample Size: A Review of Statistical Theory
 Two basic types Descriptive  Describes the nature and properties of the data  Helps to organize and summarize information Inferential  Used in testing.
Measures of Location INFERENTIAL STATISTICS & DESCRIPTIVE STATISTICS Statistics of location Statistics of dispersion Summarise a central pointSummarises.
mean of a variable from grouped data weighted mean
Central Tendency. Variables have distributions A variable is something that changes or has different values (e.g., anger). A distribution is a collection.
1 Descriptive Statistics Chapter 3 MSIS 111 Prof. Nick Dedeke.
Edpsy 511 Exploratory Data Analysis Homework 1: Due 9/19.
Interpreting Histograms
MDH Chapter 1EGR 252 Fall 2015 Slide 1 Probability and Statistics for Engineers  Descriptive Statistics  Measures of Central Tendency  Measures of Variability.
Measures of Central Tendency and Dispersion from Grouped Data.
Unit 2 Section 2.3. What we will be able to do throughout this part of the chapter…  Use statistical methods to summarize data  The most familiar method.
Statistics with TI-Nspire™ Technology Module E Lesson 1: Elementary concepts.
CHAPTER 2: Basic Summary Statistics
Medical Statistics (full English class) Ji-Qian Fang School of Public Health Sun Yat-Sen University.
Chapter 3 Descriptive Statistics: Numerical Methods.
Data Description Chapter 3. The Focus of Chapter 3  Chapter 2 showed you how to organize and present data.  Chapter 3 will show you how to summarize.
Copyright © 2013, 2010 and 2007 Pearson Education, Inc. Chapter Numerically Summarizing Data 3.
Summarizing Data with Numerical Values Introduction: to summarize a set of numerical data we used three types of groups can be used to give an idea about.
Central Tendency Quartiles and Percentiles (الربيعيات والمئينات)
Introduction to Marketing Research
A QUANTITATIVE RESEARCH PROJECT -
3.2 Day II: Measures of Central Tendency
Inference about Two Means - Independent Samples
Measures of Dispersion
SUBTOPIC 8.3 : Measures of Location 8.4 : Measures of Dispersion
Dr.Fatima Alkhaledy M.B.Ch.B;F.I.C.M.S/C.M
Measures of Central Tendency
Module 6: Descriptive Statistics
Dispersion.
Central Tendency and Variability
Descriptive Statistics: Presenting and Describing Data
CHAPTER 3 Data Description 9/17/2018 Kasturiarachi.
Lecture 5,6: Measures in Statistics
QUIZ Time : 90 minutes.
Central Tendency.
Notes Over 7.7 Finding Measures of Central Tendency
Chapter 2 Describing Variables
Sample Variance Population Variance
Sociology 690 – Data Analysis
Measures of Dispersion (Spread)
Descriptive Statistics
Univariate Statistics
Measure of Central Tendency
Numerical Descriptive Measures
Descriptive Statistics Healey Chapters 3 and 4 (1e) or Ch. 3 (2/3e)
14.3 Measures of Dispersion
Lecture 4 Psyc 300A.
Descriptive statistics for groups:
Presentation transcript:

Measures of Central Tendency and Dispersion from Grouped Data Lesson 3 - 3 Measures of Central Tendency and Dispersion from Grouped Data

Objectives Approximate the mean of a variable from grouped data Compute the weighted mean Approximate the variance and standard deviation of a variable from grouped data

Vocabulary Weighted Mean – mean of a variable value times its weighted value

Calculating Stats from Summary Data Each class is assumed to have all of its data at the class midpoint Each classes observations serve as the weighted value GPA example: ∑ class hours * class grade = GPA This is a weighted average!

Descriptive Stats from Summary Stats Class Midpt xi Freq fi xi fi xi - x (xi – x)²fi 0 – 1.99 1 2 -5.1 52.02 2 – 3.99 3 5 15 -3.1 48.05 4 – 5.99 6 30 -1.1 7.26 6 – 7.99 7 8 56 0.9 6.48 8 – 9.99 9 81 2.9 75.69 Total Σfi = 30 Σxifi = 184 Σ(xi – x)²fi = 189.5 Mean Variance Σxifi = 184 x ≈ --------------- = 6.1 Σfi = 30 Σ(xi – x)² fi = 189.5 s² ≈ -------------------------- = 6.53 Σfi – 1 = 29

Descriptive Stats from Summary Stats Class Midpt xi Freq fi xi fi xi - x (xi – x)²fi 0 – 1.99 1 2 -5.1 52.02 2 – 3.99 3 5 15 -3.1 48.05 4 – 5.99 6 30 -1.1 7.26 6 – 7.99 7 8 56 0.9 6.48 8 – 9.99 9 81 2.9 75.69 Total Σfi = 30 Σxifi = 184 Σ(xi – x)²fi = 189.5 n/2 – CF 30/2 - 13 Median = M ≈ L + ------------ (ci) = 6 + ------------- (2) = 6 + (2/8) 2 = 6.25 f 8 L is the lower class limit of the class containing the median n is the total number of data values in the frequency distribution CF is the cum freq of the class preceding the median class f is the frequency of the median class ci is the class width of the median class

Summary & Homework Summary Homework: pg 161 - 165: 3, 4, 5, 21, 25 Use raw data whenever possible If grouped (summarized data) is the only data available, estimates for mean and standard deviation can still be obtained using class midpoints and numbers in each class Homework: pg 161 - 165: 3, 4, 5, 21, 25