Numerical Methods for Describing Data

Slides:



Advertisements
Similar presentations
The Knee Is a Joint More specifically … A LEG JOINT.
Advertisements

DESCRIBING DISTRIBUTION NUMERICALLY
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.
Measures of Variation Sample range Sample variance Sample standard deviation Sample interquartile range.
Lecture 4 Chapter 2. Numerical descriptors
Descriptive Statistics Statistical Notation Measures of Central Tendency Measures of Variability Estimating Population Values.
Variance and Standard Deviation The Expected Value of a random variable gives the average value of the distribution The Standard Deviation shows how spread.
Coefficient of Variation
BPS - 5th Ed. Chapter 21 Describing Distributions with Numbers.
Lecture 4 Dustin Lueker.  The population distribution for a continuous variable is usually represented by a smooth curve ◦ Like a histogram that gets.
LECTURE 12 Tuesday, 6 October STA291 Fall Five-Number Summary (Review) 2 Maximum, Upper Quartile, Median, Lower Quartile, Minimum Statistical Software.
LECTURE 8 Thursday, 19 February STA291 Fall 2008.
Chapter 12, Part 2 STA 291 Summer I Mean and Standard Deviation The five-number summary is not the most common way to describe a distribution numerically.
STATISTICS “CALCULATING DESCRIPTIVE STATISTICS –Measures of Dispersion” 4.0 Measures of Dispersion.
Measures of Spread 1. Range: the distance from the lowest to the highest score * Problem of clustering differences ** Problem of outliers.
Numerical Measures of Variability
Chapter 3: Averages and Variation Section 2: Measures of Dispersion.
Chapter 2 Describing Distributions with Numbers. Numerical Summaries u Center of the data –mean –median u Variation –range –quartiles (interquartile range)
Lecture 4 Dustin Lueker.  The population distribution for a continuous variable is usually represented by a smooth curve ◦ Like a histogram that gets.
Section 4.1: Describing the Center of a Data Set.
Math 15 – Elementary Statistics Chapter 5 – Part 2 Summarizing Data Numerically.
BPS - 5th Ed. Chapter 21 Describing Distributions with Numbers.
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.
Copyright © Cengage Learning. All rights reserved. 1 Overview and Descriptive Statistics.
Variability Introduction to Statistics Chapter 4 Jan 22, 2009 Class #4.
How Can We Describe the Spread of Quantitative Data? 1.
BPS - 5th Ed.Chapter 21 Describing Distributions with Numbers.
Standard Deviation Variance and Range. Standard Deviation:  Typical distance of observations from their mean  A numerical summary that measures the.
Measures of Variation. Variation Variation describes how widely data values are spread out about the center of a distribution.
Mean, Median, Mode and Standard Deviation (Section 11-1)
STAT 4030 – Programming in R STATISTICS MODULE: Basic Data Analysis
1.3 Measuring Center & Spread, The Five Number Summary & Boxplots
CHAPTER 1 Exploring Data
1.4 Measures of Variability
Stat 2411 Statistical Methods
Warm Up What is the mean, median, mode and outlier of the following data: 16, 19, 21, 18, 18, 54, 20, 22, 23, 17 Mean: 22.8 Median: 19.5 Mode: 18 Outlier:
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
EVERYONE WILL NOT UNDERSTAND YOU or YOUR CHOICES!
Lecture 6 Sections 2.1 – 2.2 Objectives: Measure of Center
HMI 7530– Programming in R STATISTICS MODULE: Basic Data Analysis
residual = observed y – predicted y residual = y - ŷ
Numerical Methods for Describing Data
CHAPTER 1 Exploring Data
Honors Statistics Day 4 Objective: Students will be able to understand and calculate variances and standard deviations. As well as determine how to describe.
1.3 Describing Quantitative Data with Numbers
AP Statistics Day 5 Objective: Students will be able to understand and calculate variances and standard deviations.
Basic Practice of Statistics - 3rd Edition
Exploratory Data Analysis
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
Stat 2411 Statistical Methods Chapter 4. Measure of Variation.
Histograms and Measures of Center vs. Spread
Numerical Methods for Describing Data
Essential Statistics Describing Distributions with Numbers
Basic Practice of Statistics - 3rd Edition
Statistics Vocabulary Continued
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
The Five-Number Summary
CHAPTER 1 Exploring Data
Basic Practice of Statistics - 3rd Edition
Describing Distributions with Numbers
CHAPTER 1 Exploring Data
Center and Spread IB SL: Statistics Day 2.
Statistics Vocabulary Continued
CHAPTER 1 Exploring Data
The Mean Variance Standard Deviation and Z-Scores
The Mean Variance Standard Deviation and Z-Scores
Presentation transcript:

Numerical Methods for Describing Data From Graphical to Numerical

  1. Traumatic knee dislocation often requires surgery to repair ruptured ligaments. One measure of recovery is range of motion (measured by the angle formed when, starting with the leg straight, the knee is bent as far as possible). The article “Reconstruction of the Anterior and Posterior Cruciate Ligaments after Knee Dislocation” reported the following post surgical range of motion for a sample of 13 patients.   154 142 137 133 122 126 135 135 108 120 127 134 122 154+142+137+…+122 13 108 120 122 122 126 127 133 134 135 135 137 142 154 Median = 133

The mean is nonresistant to outliers. 2. The paper “The Pedaling Technique of Elite Endurance Cyclists” reported the accompanying data on single-leg power at a high workload. 160 174 176 180 180 183 187 191 194 200 205 211 211 244 Median = 189 160 174 176 180 180 183 187 191 194 200 204 205 211 211 Median = 189 The mean is nonresistant to outliers. Trimmed mean = 191

   3.    The ages (measured by last birthday) of the employees of Dewey, Cheatum and Howe are listed below. 22 31 21 49 26 42 42 30 28 31 39 39 20 37 32 36 35 33 45 47 49 38 28 48 Median = 35.5 9 2 2 5 7 9 8 1 0 1 9 9 7 2 6 5 3 8 2 2 1 6 8 0 8 4H 5 7 8 9 9 4L 2 2 3H 5 6 7 8 9 9 3L 0 1 1 2 3 2H 6 8 8 2L 0 1 2 35.5 42 29 20 21 22 26 28 28 30 31 31 32 33 35 36 37 38 39 39 42 42 45 47 48 49 49 Q1 median Q3

 4. In the Consumer’s Report October 2013 issue, a random sample of dishwasher detergents tested produces the following 5 values (price per load in cents)   Kirkland Signature Gel 6¢ Cascade Complete Powder 21¢ Sun Powder 4¢ Ecover Zero 30¢ Trader Joe’s Powder 11¢ Median = 11¢ Standard deviation (and variance) gives us a measure of how far a set of numbers is spread out.

Observations: Deviations: Squared deviations 6 6 – 14.4 21 – 14.4 21 4 4 – 14.4 30 30 – 14.4 11 11 – 14.4

Standard deviation With the Laundress variance Roughly speaking, the standard deviation of 10.92 ¢ measures a typical or average distance between the individual detergent prices and the mean detergent price. With the Laundress