Lecturer Dr. Veronika Alhanaqtah

Slides:

Advertisements

Similar presentations

AP Statistics Chapter 2. The Five Ws *Who -are the cases *What -are the variables ( gives information about each of the cases) *Why -helps us to decide.

Advertisements

Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.

1 Getting Started. 2 Some stories to get us started “Smoking causes lung cancer.” You may have heard this before. Well, how the heck do they know this?

Sociology 601: Class 1, September Syllabus Course website Objectives Prerequisites Text Homeworks Class time Exams Grading Schedule.

GTECH 201 Lecture 03 Data measurements Data errors.

PY550 Research and Statistics Dr. Mary Alberici Central Methodist University.

Statistics 1 Course Overview

STA Lecture 21 STA 291 Lecture 2 Course web page: Updated: Office hour of Lab instructor.

1 Statistics 202: Statistical Aspects of Data Mining Professor David Mease Tuesday, Thursday 9:00-10:15 AM Terman 156 Lecture 2 = Start chapter 2 Agenda:

Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 1 An Introduction to Business Statistics.

DATA VISUALIZATION Time to tell a story with data, and make it much more visual.

The Web Site Design and Development Process There are numerous steps in the web site design and development process. From gathering initial information,

Semester 2: Lecture 2 Quantitative Data Analysis Prepared by: Dr. Lloyd Waller ©

ECON 3790 Statistics for Business and Economics

Asian School of Business PG Programme in Management ( ) Course: Quantitative Methods in Management I Instructor: Chandan Mukherjee Session 1: Variability.

Probability and Statistics Dr. Saeid Moloudzadeh Fundamental Concepts 1 Contents Descriptive Statistics Axioms of Probability Combinatorial.

+ AP Statistics BootCamp 2012 Chapter 1: Exploring Data Verify your contact info Find your team Get credit for your statistical article.

Analyzing Research Data and Presenting Findings

The Art Institute of California.  Learn about infographics and how to design them  Begin Assignment #2 – Concept Generation through Combination.

Chapter 1: Exploring Data Sec. 1.1 Analyzing Categorical Data.

Statistics 101 Course Notes Introduction to Quantitative Methods for Psychology and the Behavioral Sciences Instructor: Alan Agresti Course syllabus: At.

Qualitative Data: consists of attributes, labels or non-numerical entries Examples: Quantitative Data: consists of numerical measurements or counts Examples:

1.2 An Introduction to Statistics Objectives: By the end of this section, I will be able to… 1) State the meaning of descriptive statistics.

Beyond Slope and Points David Harris, Escondido USD/K12 Alliance Susan Gomez Zwiep, CSU Long Beach/K12 Alliance CMC Palm Springs Oct, 2013 Lesson Available:

Chapter 20 Web Design. Copyright © Houghton Mifflin Company. All rights reserved.20 | 2 Chapter overview Gives an introduction to Web design Examines.

+ Types of Data IST210 Class Lecture. + What kind of data do you have? Class Schedules Contacts Names Phone Numbers Address Food Specials Movies,

Analyzing and Visualizing Data Dr. Lam TECM 4180.

Sociology 343 Chuck Humphrey Data Library University of Alberta.

Infographics TECM 4180 Dr. Lam. Project 2: Infographic Three key characteristics of an Infographic: 1.It is visual- An infographic is a visual image (e.g.,

STAT 3120 Statistical Methods I Lecture 1 Introduction.

Unit 3 Vocabulary EXPRESSIONS. Algebraic Expression.

1 AM310 Introductory Statistics Instructor: Haitao Yin.

Math 205 Introduction to Statistical Methods. Online homework: My webpage: people.adams.edu/~rjastalos.

Revision of Course: Lecture 1 – 15 Lecture 31 Research Tools and Techniques.

Matrix Multiplication The Introduction. Look at the matrix sizes.

Representation of Data. Introduction Data are pieces of numerical and other information. Statistics concerns itself with the collection, organisation.

Oceanobservatories.org Funding for the Ocean Observatories Initiative is provided by the National Science Foundation through a Cooperative Agreement with.

Last chapter... Four Corners: Go to your corner based on if your birthday falls in the Winter, Spring, Summer, or Fall; 1 minute In your group, come to.

1 EPIB 698C Lecture 1 Instructor: Raul Cruz-Cano

Applied Quantitative Analysis and Practices LECTURE#05 By Dr. Osman Sadiq Paracha.

© 2012 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.

Fair and Legal Use What do I need to know?. Introduction We live in a digital society. We are surrounded by technology and online information everywhere!

Begin with Observations: 1. Quantitative - observations that are measurements, involve counting or numeric values. (length, speed) 2. Qualitative - observations.

IT 242 Week 8 Individual Wireless Signals To purchase this material link Individual-Wireless-Signals.

Statistics and Storytelling with Data

Introduction to the SPSS Interface

Active Learning Lecture Slides

Math 4030 Probability and Statistics for Engineers

Copyright © 2011 Pearson Education, Inc.

NURS 500 1st Semester Research Process.

Analyzing and Visualizing Data

Introduction to the use of data and analysis

Variables and Data.

Visualization Making an Impact with Your Data

Ask 100 randomly chosen people the following 6 QUESTIONS…

Introduction (1.1) Data - Information collected by individuals and/or organizations to gain knowledge regarding a field or question of interest. Data Sources:

Observations, Variables and Data Matrices

Lecturer Dr. Veronika Alhanaqtah

Investigating associations between categorical variables

Introduction (1.1) Data - Information collected by individuals and/or organizations to gain knowledge regarding a field or question of interest. Data Sources:

The Scientific Method.

The Scientific Method.

The Scientific Method.

Displaying Data – Charts & Graphs

Gather research and information about your topic as a team!

Reports Web Innovations 2017.

Matrix A matrix is a rectangular arrangement of numbers in rows and columns Each number in a matrix is called an Element. The dimensions of a matrix are.

Introduction to the SPSS Interface

Chi Square Test of Homogeneity

Presentation transcript:

Lecturer Dr. Veronika Alhanaqtah STATISTICS Lecturer Dr. Veronika Alhanaqtah

Topic 1 Introduction to data

1. Introductory concepts and vocabulary Four basic concepts: Data set Unit of observation Variable Variable types

Data Set Data is typically organized in a data table or data matrix (data set), that is made up of rows and columns. Rows in a data set are the units on which information is gathered. Columns are the variables or the pieces of information that are gathered about each unit.

Example: Dataset on movies Name Genre Budget Studio Audience 50/50 C 8 Ind 93 Warrior A 25 LG Harry Potter F 125 WB The help D DW 91 Money ball 50 Col 89 Legend: C – Comedy, A - A ction , F – Fantasy, D – Documentary Source: www.informationisbeautiful.net

Unit of observation 50/50 C 8 Ind 93 Warrior A 25 LG Harry Potter F Name Genre Budget Studio Audience 50/50 C 8 Ind 93 Warrior A 25 LG Harry Potter F 125 WB The help D DW 91 Money ball 50 Col 89 The movie is our unit of analysis (unit of observation)

Variable Name Genre Budget Studio Audience 50/50 C 8 Ind 93 Warrior A 25 LG Harry Potter F 125 WB The help D DW 91 Money ball 50 Col 89 Each of the columns is a variable or a characteristic that varies from movie to movie.

Variable Type Name Genre Budget Studio Audience 50/50 C 8 Ind 93 Warrior A 25 LG Harry Potter F 125 WB The help D DW 91 Money ball 50 Col 89 Categorical variables (qualitative, nominal) don't have numeric values. Numeric variables (quantitative) are which we could put on a number line and do mathematical operations for.

Data And Story online Library DASL is an online library on data files and stories that illustrate the use of basic statistic methods (real-world examples). http://lib.stat.cmu.edu Data files are data sets. Stories are abstracts that discuss the statistical concept of a particular data file.

Information Is Beautiful online library Information is beautiful is a web-site of the British data journalist and information designer David McCandless. The team of this data storage is dedicated to distilling the world’s data, information and knowledge into beautiful, interesting and, above all, useful visualizations, infographics and diagrams. http://www.informationisbeautiful.net

Homework Visit instructor’s website: www.alveronika.wordpress.com Statistics Open DASL (online library on data files): www.lib.stat.cmu.edu Choose “DASL” Look through data sets and find a couple that you enjoy. Open up the data and look what is: data set, unit of observation, variables and variable types (categorical or numeric).