# 'Ordinal variables' presentation slideshows

## Clustering (slide from Han and Kamber)

Clustering (slide from Han and Kamber). Clustering of data is a method by which large sets of data is grouped into clusters of smaller sets of similar data. The example below demonstrates the clustering of balls of same colour. There are a total of 10 balls which are of three different

By lane
(382 views)

## Measures of Association for contingency tables 4

Measures of Association for contingency tables 4. Figure 8.2 : lambda – association; +-1: strong; near 0: weak Positive association: as value of the independent variable rises (falls), the dependent variable rises (falls)

By lapis
(460 views)

## Chapter 4 Measures of Central Tendency

Chapter 4 Measures of Central Tendency. What is a measure of central tendency? Measures of Central Tendency Mode Median Mean Shape of the Distribution Considerations for Choosing an Appropriate Measure of Central Tendency . What is a measure of Central Tendency?.

By mahina
(10 views)

## Chapter 4: Measures of Central Tendency

Chapter 4: Measures of Central Tendency. What is a measure of central tendency? Measures of Central Tendency Mode Median Mean Shape of the Distribution Considerations for Choosing an Appropriate Measure of Central Tendency . What is a measure of Central Tendency?.

By desmond
(243 views)

## Clustering Analysis

Clustering Analysis. CS 685: Special Topics in Data Mining Jinze Liu. Cluster Analysis. What is Cluster Analysis? Types of Data in Cluster Analysis A Categorization of Major Clustering Methods Partitioning Methods Hierarchical Methods Density-Based Methods Grid-Based Methods

By mekelle
(227 views)

## Biostat 200 Introduction to Biostatistics

Biostat 200 Introduction to Biostatistics . Lecture 1. Course instructors. Course director Judy Hahn, M.A., Ph.D. Associate Professor in Residence Phone: (415) 597-4961 Office: 50 Beale St., Suite 1300 Judy.hahn@ucsf.edu TAs

By pilis
(136 views)

## Clustering Analysis

Clustering Analysis. CS 685: Special Topics in Data Mining Jinze Liu. Cluster Analysis. What is Cluster Analysis? Types of Data in Cluster Analysis A Categorization of Major Clustering Methods Partitioning Methods Hierarchical Methods Density-Based Methods Grid-Based Methods

By jamal
(198 views)

## Chapter 2

Chapter 2. Data. 45 min. What Are Data?. Data can be numbers, record names, or other labels. Not all data represented by numbers are numerical data (e.g., 1=male, 2=female). Data are useless without their context…. The “W’s”. To provide context we need the W’s Who

By berny
(135 views)

## Review of Methods from Prerequisite Course

Review of Methods from Prerequisite Course. Assuming exposure to all of the content from STAT 601 – Statistical Methods for Healthcare Research. Presentation Outline. Review of variable t ypes Review will cover both descriptive and inferential methods

By soyala
(125 views)

## 19. Multivariate Analysis Using NLTS2 Data

19. Multivariate Analysis Using NLTS2 Data. Prerequisites. Recommended modules to complete before viewing this module 1. Introduction to the NLTS2 Training Modules 2. NLTS2 Study Overview 3. NLTS2 Study Design and Sampling NLTS2 Data Sources, either 4. Parent and Youth Surveys or

By ember
(84 views)

## Elementary Statistics

Elementary Statistics. Joan Sholars , Professor. Statistics, the Beginning. Statistics is the study of procedures for collecting, describing, and drawing conclusions from information.

By devlin
(317 views)

## Measures of Association Quiz

Measures of Association Quiz. What do phi and b (the slope) have in common? Which measures of association are chi square based? What do gamma, lambda & r 2 have in common? When is it better to use Cramer’s V instead of lambda?. Statistical Control. Conceptual Framework

By kirti
(100 views)

## A gentle introduction to R

A gentle introduction to R. Loading R. If you want to install R on your own computer go to http://www.r-project.org/. Course slides. http://core.brc.iop.kcl.ac.uk/events/a-gentle-introduction-to-r / Short link: http://bit.ly/ XcHS46

By caraf
(188 views)

## SPSS Session 1: Levels of Measurement and Frequency Distributions

SPSS Session 1: Levels of Measurement and Frequency Distributions . Learning Objectives. Measurement of data Levels of measurement Measures of Central Tendency Measures of Dispersion. Review from Lecture 7. Identified and defined levels of measurement and measures of central tendency

By fox
(106 views)

## Non-parametric Measures of Association

Non-parametric Measures of Association. Chi-Square Review. Did the | organization| split | Type of leadership for organization this year? | Factional Weak or Divided Strong Unitary| Total ------------+--------------------------------------------+----------

By eliot
(99 views)

## Pols 7000x Statistics in Political Science Class 3 Brooklyn college – CUNY Shang E. Ha

Pols 7000x Statistics in Political Science Class 3 Brooklyn college – CUNY Shang E. Ha. Leon-Guerrero and Frankfort-Nachmias, Essentials of Statistics for a Diverse Society. Chapter 3: Measures of Central Tendency. The Mode The Median The Mean Finding the Mean in a Frequency Distribution

(98 views)

## Ch 3 Central Tendency

Ch 3 Central Tendency. 中央集中趨勢測量. Central Tendency 中央趨勢. 資料分配的中心位置 中央趨勢的主要統計值 平均值 Mean ( ) 中位數 Median 眾數 Mode. Mean 平均數. The most commonly used measure of central tendency. Formula: or

By nitsa
(127 views)

## Lecture 7 : Introduction to R Pat Browne

Spatial Databases First law of geography [Tobler]: Everything is related to everything, but nearby things are more related than distant things. Lecture 7 : Introduction to R Pat Browne. Introduction to programming in R.

By mira
(81 views)

## Chapter 14

Chapter 14. Multiple Regression Models. Multiple Regression Models. A general additive multiple regression model , which relates a dependent variable y to k predictor variables x 1 , x 2 ,…, x k is given by the model equation y = a + b 1 x 1 + b 2 x 2 + … + b k x k + e

By nakia
(152 views)

## Volkert Siersma Research Unit for General Practice in Copenhagen gpract.ku.dk

Volkert Siersma Research Unit for General Practice in Copenhagen http://www.gpract.ku.dk V.Siersma@gpract.ku.dk. P γ measure for association between categorical variables with partial or tentative ordering of categories. 1. Categorical variables. Nominal variables. Ordinal variables.

By oya
(84 views)

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