ChiMerge Technique Example

Slides:



Advertisements
Similar presentations
Local Maximum/Minimum of Continuous Functions
Advertisements

Inference about Means/Averages Chapter 23 Looking at means rather than percentages.
Estimating a Population Variance
Exponential Distribution. = mean interval between consequent events = rate = mean number of counts in the unit interval > 0 X = distance between events.
13.6 – The Tangent Function. The Tangent Function Use a calculator to find the sine and cosine of each value of . Then calculate the ratio. 1. radians2.30.
Statistics Estimates and Sample Sizes
Chapter 11- Confidence Intervals for Univariate Data Math 22 Introductory Statistics.
Single Sample t-test Purpose: Compare a sample mean to a hypothesized population mean. Design: One group.
1 The Chi squared table provides critical value for various right hand tail probabilities ‘A’. The form of the probabilities that appear in the Chi-Squared.
Transportation Planning CE 573 Lecture 5. Topics Data collection issues Sample size estimation Statistical inference.
1 The t table provides critical value for various probabilities of interest. The form of the probabilities that appear in Appendix B are: P(t > t A, d.f.
Statistics 101 Class 9. Overview Last class Last class Our FAVORATE 3 distributions Our FAVORATE 3 distributions The one sample Z-test The one sample.
8-5 Testing a Claim About a Standard Deviation or Variance This section introduces methods for testing a claim made about a population standard deviation.
1 (Student’s) T Distribution. 2 Z vs. T Many applications involve making conclusions about an unknown mean . Because a second unknown, , is present,
1 times table 2 times table 3 times table 4 times table 5 times table
Section 7-4 Estimating a Population Mean: σ Not Known.
© 2002 Thomson / South-Western Slide 8-1 Chapter 8 Estimation with Single Samples.
Confidence Intervals for Means. point estimate – using a single value (or point) to approximate a population parameter. –the sample mean is the best point.
Estimating Population Parameters Mean Variance (and standard deviation) –Degrees of Freedom Sample size –1 –Sample standard deviation –Degrees of confidence.
Chapter 9 Hypothesis Testing and Estimation for Two Population Parameters.
Confidence Intervals for Population Proportions
CHAPTER SIX Confidence Intervals.
CHAPTER 27 PART 1 Inferences for Regression. YearRate This table.
SampleFK ChiMerge Discretization Statistical approach to Data Discretization Applies the Chi.
CHAPTER SIX Confidence Intervals.
Data Mining Spring 2007 Noisy data Data Discretization using Entropy based and ChiMerge.
Estimating a Population Mean. Student’s t-Distribution.
Point Estimates point estimate A point estimate is a single number determined from a sample that is used to estimate the corresponding population parameter.
Confidence Intervals for a Population Mean, Standard Deviation Unknown.
$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.
Confidence Intervals for a Population Proportion Excel.
1 Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Section 7.4: Estimation of a population mean   is not known  This section.
Business Statistics: Contemporary Decision Making, 3e, by Black. © 2001 South-Western/Thomson Learning 8-1 Business Statistics, 3e by Ken Black Chapter.
Confidence Interval Estimation for a Population Mean Lecture 46 Section 10.3 Wed, Apr 14, 2004.
Correlation. u Definition u Formula Positive Correlation r =
Tables Learning Support
ESTIMATION OF THE MEAN. 2 INTRO :: ESTIMATION Definition The assignment of plausible value(s) to a population parameter based on a value of a sample statistic.
Chapter 8 Estimation ©. Estimator and Estimate estimator estimate An estimator of a population parameter is a random variable that depends on the sample.
ESTIMATION OF THE MEAN. 2 INTRO :: ESTIMATION Definition The assignment of plausible value(s) to a population parameter based on a value of a sample statistic.
Chapter 8 Confidence Intervals Copyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved.McGraw-Hill/Irwin.
Chapter 7 Estimation. Chapter 7 ESTIMATION What if it is impossible or impractical to use a large sample? Apply the Student ’ s t distribution.
Using and Finding “Student’s t”
ChiMerge Discretization
Math 4030 – 10b Inferences Concerning Variances: Hypothesis Testing
X AND R CHART EXAMPLE IN-CLASS EXERCISE
Times Tables.
Do Now Graph the following using a calculator: A) B)
Section 6-4 – Confidence Intervals for the Population Variance and Standard Deviation Estimating Population Parameters.
Estimating Population Variance
F - Ratio Table Degrees of Freedom for the Factor
Chapter 10 Inferences on Two Samples
Statistical Process Control
One sample problems Statistics 2126.
You and your lab partner independently determine the concentration of Ca2+ in a water sample. The results are: You Lab partner 350 ppm
Chi2 (A.K.A X2).
A paired-samples t-test compares the means of two related sets of data to see if they differ statistically. IQ Example We may want to compare the IQ scores.
Sampling results 5 (10%) 74% 10 (20%) 25 (50%) 45 (90%) Sample Size
Review Questions III Compare and contrast the components of an individual score for a between-subject design (Completely Randomized Design) and a Randomized-Block.
Unit 3 Review (Calculator)
Chapter 7 Lecture 3 Section: 7.5.
C.2.10 Sample Questions.
C.2.8 Sample Questions.
3 times tables.
6 times tables.
Calculate 9 x 81 = x 3 3 x 3 x 3 x 3 3 x 3 x 3 x 3 x 3 x 3 x =
C.2.8 Sample Questions.
Statistical Inference for the Mean: t-test
Chapter 7 Lecture 3 Section: 7.5.
Number of treatments ____________________________________________
Math 10, Spring 2019 Introductory Statistics
Presentation transcript:

ChiMerge Technique Example Sample Feature Class 1 2 3 7 4 8 5 9 6 11 23 37 39 10 45 46 12 59 •Interval points for feature F are: 0, 2, 5, 7.5, 8.5, 10, etc. •χ2 was minimum for intervals: [7.5, 8.5] and [8.5, 10]

ChiMergeTechnique (Example) •Based on the table’s values, we can calculate expected values: E11 = 2/2 = 1,E12 = 0/2 ≈0.1, E21 = 2/2 = 1, and E22 = 0/2 ≈0.1 •And corresponding χ2 test: χ2= (1 –1)2/ 1 + (0 –0.1)2/ 0.1 + (1 –1)2/ 1 + (0 –0.1)2/ 0.1 = 0.2 For the degree of freedom d=1, and χ2= 0.2 < 2.706 ( MERGE !)

ChiMergeTechnique (Example) •E11= 2.78, E12=2.22, E21= 2.22, E22= 1.78, and χ2= 2.72 > 2.706 (NO MERGE !) •Final discretization: [0, 10], [10, 42], and [42, 60]