Variables Soodeh Arabnejad KMUPRESS, KMU. Review of Terms Sample / Individual: The objects described by a set of data, individuals may be people, animals.

Slides:



Advertisements
Similar presentations
Types of Variables AP Statistics Dobson.
Advertisements

Introduction To Statistics
Types of Variables Objective:
SECTION 1 CHAPTER 1. DATA What is Statistics? The science of collecting, organizing, and interpreting numerical facts, which we call data Data (def.)
The W’s of Data. Data  Does have to be numbers?  It can be doesn’t have to be.  Without context, it’s useless!  Consider 17, 21, 44, and 76  Are.
Basic Ideas of Statistics Unit 1.1 Basic Ideas of Statistics Corresponds to Chapter 1 in Triola.
Nominal Level Measurement n numbers used as ways to identify or name categories n numbers do not indicate degrees of a variable but simple groupings of.
Copyright © 2010 Pearson Education, Inc. Chapter 2 Data.
Hypothesis Testing for Ordinal & Categorical Data EPSY 5245 Michael C. Rodriguez.
Chapter 1 Descriptive Analysis. Statistics – Making sense out of data. Gives verifiable evidence to support the answer to a question. 4 Major Parts 1.Collecting.
What is Statistics? Chapter GOALS 1. Understand why we study statistics. 2. Explain what is meant by descriptive statistics and inferential statistics.
Variables and Types of Data.   Qualitative variables are variables that can be placed into distinct categories, according to some characteristic or.
Statistics The science of collecting, analyzing, and interpreting data. The Statistical Problem Solving Process: 1.Ask a question of interest 2.Produce.
Chapter 1: The What and the Why of Statistics
©The McGraw-Hill Companies, Inc. 2008McGraw-Hill/Irwin What is Statistics? Chapter 1.
Aug. 21, 2012 Chapter 1 Sections 1 & 2. What is statistics? Conducting studies to collect, organize, summarize, analyze and draw conclusions from data.
Chapter 2 Data.
S TATISTICS Dr. Omar Al Jadaan Assistant Professor – Computer Science & Mathematics.
Data Analysis Making Sense of Data.  Individuals: are the objects described by a set of data. Individuals may be people, but they may also by animals.
The What and the Why of Statistics The Research Process Asking a Research Question The Role of Theory Formulating the Hypotheses –Independent & Dependent.
Control: The part of the experiment that scientists keep the same during the experiment ex: temperature, location, light. Control Group: The group in the.
Chapter 1: The What and the Why of Statistics  The Research Process  Asking a Research Question  The Role of Theory  Formulating the Hypotheses  Independent.
S TATISTICS Dr. Omar Al Jadaan Assistant Professor – Computer Science & Mathematics.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 2 Data.
1-1 1 Chapter 1 Chapter Chapter One What is Statistics? ONE Understand why we study statistics. TWO Explain what is meant by descriptive statistics.
An Overview of Statistics Section 1.1. Ch1 Larson/Farber 2 Statistics is the science of collecting, organizing, analyzing, and interpreting data in order.
Vocabulary of Statistics Part Two. Variable classifications Qualitative variables: can be placed into distinct categories, according to some characteristic.
CATEGORICAL DATA ANALYSIS Eni Sumarminingsih, S.Si, MM.
Bell Ringer Using female = 0 and male = 1, calculate the average maleness in this classroom.
Educational Research: Competencies for Analysis and Application, 9 th edition. Gay, Mills, & Airasian © 2009 Pearson Education, Inc. All rights reserved.
Math 145 September 11, Recap  Individuals – are the objects described by a set of data. Individuals may be people, but they may also be animals.
STATISTICS: TYPES OF VARIABLES Claire 12B. Qualitative Variables  A qualitative variable is a categorical variable that represents different groups and.
IDENTIFYING VARIABLES 1.  Something that varies.  Symbol to which numerals or values are attached.  Concept or its empirical measure that can take.
Exploring Data Individuals and Variables Categorical and Quantitative Variables.
Introduction. The Role of Statistics in Science Research can be qualitative or quantitative Research can be qualitative or quantitative Where the research.
Exploring DATA Individuals and Variables Variable Types AP Statistics
Basic Statistics With a touch of Probability. Making Decisions We make decisions based on the information we have. Statistics help us examine the information.
1 PAUF 610 TA 1 st Discussion. 2 3 Population & Sample Population includes all members of a specified group. (total collection of objects/people studied)
Chapter 1 Exploring Data Guided Notes. 1.0 Data Analysis: Making Sense of Data Pages 2-7 Objectives SWBAT: 1)Identify the individuals and variables in.
Ch1 Larson/Farber 1 1 Elementary Statistics Larson Farber Introduction to Statistics As you view these slides be sure to have paper, pencil, a calculator.
1.  The practice or science of collecting and analyzing numerical data in large quantities, especially for the purpose of inferring* proportions in a.
Chapter 1: Section 2-4 Variables and types of Data.
Descriptive Statistics  Individuals – are the objects described by a set of data. Individuals may be people, but they may also be animals or things. 
Identifying Variables and Designing Investigations.
Statistics 2 Data. What Are Data? Data can be numbers, record names, or other labels. Not all data represented by numbers are numerical data (e.g., 1.
2.1 Developing a Thesis 2.2 Characteristics of Data.
Modular 1. Introduction of the Course Structure and MyLabsPlus.
By: Michael Mack, Ana Meneses and Zhane’ Fleming.
Introduction to Biostatistics Lecture 1. Biostatistics Definition: – The application of statistics to biological sciences Is the science which deals with.
Variables and Types of Data
Pharmaceutical Statistics
Ask 100 randomly chosen people the following 6 QUESTIONS…
Theme 2 Types of Data.
Types of Data.
Descriptive Statistics
Introduction to Statistics for the Social Sciences SBS200 - Lecture Section 001, Spring 2017 Room 150 Harvill Building 9:00 - 9:50 Mondays, Wednesdays.
Types of Data.
Types of Variable You will have to identify what the variables are and also choose which category of variable it belongs to. Friday, December 07, 2018Friday,
Topic 3: Data Basics.
Classification of Variables
Descriptive Statistics
Elementary Statistics (Math 145)
Descriptive Statistics
Descriptive Statistics
Methods of Acquiring Information
Chapter 2 - Data * Context of the data is absolutely essential before we do anything! The W’s (and H): Who, What, When, Where, Why, How “Who” does not.
Descriptive Statistics
Descriptive Statistics
Basic Terminologies in Statistics
Math 145 May 28, 2009.
Presentation transcript:

Variables Soodeh Arabnejad KMUPRESS, KMU

Review of Terms Sample / Individual: The objects described by a set of data, individuals may be people, animals or things Sample / Individual: The objects described by a set of data, individuals may be people, animals or things Ex: Students, Patients, Mice Ex: Students, Patients, Mice Variable: any characteristic of an individual. A variable can take on different values for different individuals Variable: any characteristic of an individual. A variable can take on different values for different individuals Ex: Heights of individuals: Ex: Heights of individuals: Student #1: 184cm Student #2: 171cm Student #3: 171.5cm Student #1: 184cm Student #2: 171cm Student #3: 171.5cm

Types of Variables Categorical, Qualitative or Discrete Categorical, Qualitative or Discrete Nominal Nominal Ordinal Ordinal Continuous or Quantitative Continuous or Quantitative

Types of Variables Nominal Nominal objects or people are categorized according to some criterion objects or people are categorized according to some criterion do not imply an ordering do not imply an ordering Records which of several groups or categories to which an individual belongs Records which of several groups or categories to which an individual belongs If there are only 2 possible categories, the variable is called binary / Dichotomous If there are only 2 possible categories, the variable is called binary / Dichotomous Ex: Ex: Gender Gender Race Race Marital status Marital status Job Job

Types of Variables Ordinal Ordinal Categories which are ranked according to characteristics Categories which are ranked according to characteristics Imply an ordering Imply an ordering Records which of several groups or categories to which an individual belongs Records which of several groups or categories to which an individual belongs Ex: Ex: SES (socio-economic status) SES (socio-economic status) Cancer Staging Cancer Staging Age group Age group Education Education

Types of Variables Continuous or Quantitative: Continuous or Quantitative: Variables that are measured in terms of numbers Variables that are measured in terms of numbers. Numeric value that it makes sense to do arithmetic operations (+, -, x, /) Numeric value that it makes sense to do arithmetic operations (+, -, x, /) Finding an arithmetic “average” makes sense Finding an arithmetic “average” makes sense EX: EX: Height Height Weight Weight Age Age Income Income

Caution!!! Most quantitative variables can be asked in such a way as to make them a categorical variable. Most quantitative variables can be asked in such a way as to make them a categorical variable. Ex: Age: Ex: Age: Please choose the category that describes how old you are Please choose the category that describes how old you are OVER OVER 80

Kind (Role) of variables Kind (Role) of variables Independent Variable : Independent Variable : something that is changed by the scientist What is tested What is manipulated Ex: the effect of smoking on LBW Ex: the effect of smoking on LBW Dependent variable : Dependent variable : something that might be affected by the change in the independent variable What is observed What is measured The data collected during the investigation Ex: Low SES and Smoking Ex: Low SES and Smoking Confounding Confounding

Confounding Opium MI SMK

Determine if the variable is Quantitative or Categorical  Whether or not the individual went to sleep before 12:00am  Month of birth  Distance from home  Whether the individual has a cell phone  How many messages a person has sent in the last 24 hours  The age of a bride on her wedding day  Whether the bride is older, younger, or the same age as the groom in a wedding couple Check your answers on the next slide

Quantitative Variables  Distance from home  How many messages a person has sent in the last 24 hours  The age of a bride on her wedding day Categorical  Whether or not the individual went to sleep before 12:00am  Month of birth  Whether the individual has a cell phone  Whether the bride is older, younger, or the same age as the groom in a wedding couple