Developing A Thesis Chapter 2.1 – In Search of Good Data Mathematics of Data Management (Nelson) MDM 4U.

Slides:



Advertisements
Similar presentations
Created by Tom Wegleitner, Centreville, Virginia
Advertisements

Introduction to Statistics
Developing A Thesis Chapter 2.1 – In Search of Good Data Learning goal: Write and identify a clear thesis statement/question MSIP / Home Learning: p. 81.
Statistics-MAT 150 Chapter 1 Introduction to Statistics Prof. Felix Apfaltrer Office:N518 Phone: x7421.
Chapter 1 The Where, Why, and How of Data Collection
Chapter 1 The Where, Why, and How of Data Collection
Introduction to Statistics
Business Statistics: A Decision-Making Approach, 7e © 2008 Prentice-Hall, Inc. Chap 1-1 Business Statistics: A Decision-Making Approach 7 th Edition Chapter.
Sociology 601: Class 1, September Syllabus Course website Objectives Prerequisites Text Homeworks Class time Exams Grading Schedule.
Chapter 1 The Where, Why, and How of Data Collection
Chapter 1 The Where, Why, and How of Data Collection
AP Statistics Overview and Basic Vocabulary. Key Ideas The Meaning of Statistics Quantitative vs. Qualitative Data Descriptive vs. Inferential Statistics.
Chapter 3 Goals After completing this chapter, you should be able to: Describe key data collection methods Know key definitions:  Population vs. Sample.
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 1-1 Business Statistics: A Decision-Making Approach 6 th Edition Chapter.
MS 205 Quantitative Business Modeling
Chapter 1: Introduction to Statistics
INTRODUCTION TO STATISTICS MATH0102 Prepared by: Nurazrin Jupri.
Displaying Data Visually
Chapter 1 Introduction and Data Collection
Introduction to Statistics What is Statistics? : Statistics is the sciences of conducting studies to collect, organize, summarize, analyze, and draw conclusions.
McMillan Educational Research: Fundamentals for the Consumer, 6e © 2012 Pearson Education, Inc. All rights reserved. Educational Research: Fundamentals.
Eng.Mosab I. Tabash Applied Statistics. Eng.Mosab I. Tabash Session 1 : Lesson 1 IntroductiontoStatisticsIntroductiontoStatistics.
Minds On! Suppose you have selected a sample of 60 students at CPHS You are armed with 60 surveys and you set out to have them completed What could possibly.
Probability & Statistics – Bell Ringer  Make a list of all the possible places where you encounter probability or statistics in your everyday life. 1.
1.1 Displaying Data Visually Learning goal:Classify data by type Create appropriate graphs MSIP / Home Learning: p. 11 #2, 3ab, 4, 7, 8.
Collecting Samples Chapter 2.3 – In Search of Good Data Mathematics of Data Management (Nelson) MDM 4U.
Section 1.1 Statistics Statistics :
Welcome to MDM4U (Mathematics of Data Management, University Preparation)
Graphical Displays of Information 3.1 – Tools for Analyzing Data Learning Goal: Identify the shape of a histogram MSIP / Home Learning: p. 146 #1, 2, 4,
Introduction to Statistics Mr. Joseph Najuch Introduction to statistical concepts including descriptive statistics, basic probability rules, conditional.
Chapter 2 Review MDM 4U Mr. Lieff. 2.2 – In Search of Good Data What are the variables in a study? The information that is collected What types of variables.
Probability and Statistics Dr. Saeid Moloudzadeh Fundamental Concepts 1 Contents Descriptive Statistics Axioms of Probability Combinatorial.
Introduction Biostatistics Analysis: Lecture 1 Definitions and Data Collection.
Graphical Displays of Information Chapter 3.1 – Tools for Analyzing Data Mathematics of Data Management (Nelson) MDM 4U.
Areej Jouhar & Hafsa El-Zain Biostatistics BIOS 101 Foundation year.
Notes on Research Design You have decided –What the problem is –What the study goals are –Why it is important for you to do the study Now you will construct.
Statistics for Managers Using Microsoft Excel, 4e © 2004 Prentice-Hall, Inc. Chap 1-1 Statistics for Managers Using Microsoft ® Excel 4 th Edition Chapter.
Chap 1-1 Chapter 1 Introduction and Data Collection Business Statistics.
Measures of Central Tendency Chapter 3.2 – Tools for Analyzing Data Mathematics of Data Management (Nelson) MDM 4U.
5.2 Characteristics of Data: Types of Studies.
+ Chapter 1. + Chapter 1 Section 1: Overview of Statistics.
Lecture 1 Stat Applications, Types of Data And Statistical Inference.
A Course In Business Statistics, 4th © 2006 Prentice-Hall, Inc. Chap 1-1 A Course In Business Statistics 4 th Edition Chapter 1 The Where, Why, and How.
Introduction to Statistics Chapter 1. § 1.1 An Overview of Statistics.
Collecting Samples Chapter 2.3 – In Search of Good Data Mathematics of Data Management (Nelson) MDM 4U.
Chap 1-1 Chapter 3 Goals After completing this chapter, you should be able to: Describe key data collection methods Know key definitions:  Population.
Graphical Displays of Information
Developing A Thesis Chapter 2.1 – In Search of Good Data
Welcome to MDM4U (Mathematics of Data Management, University Preparation)
Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc. Chap 1-1 Chapter 1 Introduction and Data Collection Basic Business Statistics 10 th Edition.
Introduction and Data Collection Basic Business Statistics 10 th Edition.
Welcome to MDM4U (Mathematics of Data Management, University Preparation)
Warm up Which type of study is best for the following situations: cross-sectional or longitudinal? a) Determining what percent of high school students.
Chapter 7: Data Collection and Presentation Mathematics Department Corpus Christi School.
Avoiding Bias Chapter 2.5 – In Search of Good Data Mathematics of Data Management (Nelson) MDM 4U.
Developing A Thesis Chapter 2.1 – In Search of Good Data Mathematics of Data Management (Nelson) MDM 4U.
SECTION 1.2 TYPES OF DATA. Objectives 1. Understand the structure of a typical data set 2. Distinguish between qualitative and quantitative variables.
Chapter 1-2 Review MDM 4U Mr. Lieff. Ch1 Learning Goals Classify data as Quantitative (and continous or discrete) or Qualitatitive Identify the population,
2.1 Developing a Thesis 2.2 Characteristics of Data.
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 1-1 Descriptive statistics Collecting, presenting, and describing data.
Unit 2 Review. Developing a Thesis A thesis is a question or statement that the research will answer When writing a thesis, ask: Is it specific? Are the.
Chapter 1 Introduction to Statistics 1-1 Overview 1-2 Types of Data 1-3 Critical Thinking 1-4 Design of Experiments.
Collecting Samples Chapter 2.3 – In Search of Good Data Mathematics of Data Management (Nelson) MDM 4U.
1 Chapter.
Chapter 1 The Where, Why, and How of Data Collection
Chapter 1 The Where, Why, and How of Data Collection
DESIGN OF EXPERIMENTS by R. C. Baker
The Where, Why, and How of Data Collection
Chapter 1 The Where, Why, and How of Data Collection
Presentation transcript:

Developing A Thesis Chapter 2.1 – In Search of Good Data Mathematics of Data Management (Nelson) MDM 4U

What is a Thesis? A statistical thesis is an intellectual proposition (question or statement) A major research publication created by post- secondary students

What is a Thesis? (cont’d) a thesis is a formal statement or question that research will answer or discuss when writing a thesis…  can you state a specific question?  are the main variables identified?  can these be measured statistically?  is there enough data to make an interesting analysis?  is the topic manageable?

Examples Do students who play sports have higher marks? Is there a correlation between age and being a safe driver?

More examples – p. 82 #13 (a) How is the accuracy of a person’s ability to estimate height and distance related to her or his height? (b) Are females better than males at estimating the size of a large crowd? (c) What is the relationship between a student’s mid-term average and his or her favourite subject? (d) Which local fast-food outlet is the best? (e) What do students at your school think about local school uniforms?

Variables A variable is a measurable characteristic that can change Variables can be continuous or discrete, containing nominal, ordinal, interval or ratio data Identifying the variables involved in a study is a significant task You must be sure that you have all the data you might need

Brainstorming… sometimes developing ideas is quite difficult mind maps or concept maps are useful tools for this process

Culminating Project Your first task is to choose a topic that is neither too simple nor too difficult A project that is too large can be made more specific to reduce the size Once you have a topic you need to develop a thesis – a specific question or idea Without a specific question, the rest of the project will be more difficult

Sample Hypotheses A hypothesis is a prediction of what you expect to find Examples:  Students who play sports at least 3 times per week have higher averages.  Safe driving practices will be highest among drivers aged

Examples of projects… Look at some examples of projects from other schools to give you an idea of where we are going Your project will be produced electronically using a word processor as well as analytic software (Fathom or Excel) A presentation using Microsoft PowerPoint is also required

MSIP / Homework Complete p. 81 #4, 5, 6, 8, 13

Consumer Price Index (CPI) A statistical measure of a weighted average of prices of a specified set of goods and services purchased by wage earners in urban areasstatisticalweighted averageprices serviceswageurban A price index which tracks the prices of a specified set of consumer goods and services, providing a measure of inflationinflation Factors include: gasoline, the purchase and leasing of automotive vehicles, homeowners' replacement cost and natural gas

Indexes an index is number arbitrarily chosen to represent some data the consumer price index is an example what type of data would the consumer price index be? interval

Characteristics of Data Chapter 2.2 – In Search of Good Data Mathematics of Data Management (Nelson) MDM 4U

What is data? Data - a set of facts or information that is collected Population - the group of individuals that a study is concerned with e.g., if we want to find the opinions of students at CPHS, the population is all students at CPHS This does not mean we collect data from every student!

Data Classifications Quantitative data  data that can be measured numerically  ex: height or weight Qualitative data  non-numerical data  ex: marital status, eye color, attitudes Time series data  collected repeatedly over a period of time

Sampling A census is often too expensive and/or time- consuming A sample is a part of the population that is chosen to represent the population A representative sample can be used to draw conclusions about the entire population Choosing the sample randomly avoids bias (sample is not representative) A conclusion drawn from sample data is called an inference

Types of Studies Cross sectional  A study which samples different groups of a population at the same time  e.g., sampling students in every grade from 9 through 12 at CPHS on one day Longitudinal  A study which samples the same individuals over time  e.g., Sampling the class of 2014 (this year’s grade 9s) every year for 4 years What are the purposes of each of these?

Example Which type of study is best for the following situations: cross-sectional or longitudinal? a) Determining what percent of high school students plan to attend university within 3 years? b) Determining the effect of a new pesticide on the growth of tomato plants? c) Testing the effectiveness of a new allergy medication? d) Predicting the results of next month’s election?

MSIP / Homework Read Ex.1 to 3 on pp Complete p. 89 # 1-6 and 10

References Wikipedia (2004). Online Encyclopedia. Retrieved September 1, 2004 from