Lesson#1 Gathering Data

Slides:



Advertisements
Similar presentations
Market research THE TIMES 100.
Advertisements

MBF3C Lesson #1: Sampling Types and Techniques
SINGLE VARIABLE DATA DEFINITIONS ETC. GENERAL STUFF STATISTICS IS THE PROCESS OF GATHERING, DISPLAYING, AND ANALYZING DATA. DATA CAN BE GATHERED BY CONDUCTING.
Sample Surveys Ch. 12. The Big Ideas 1.Examine a Part of the Whole 2.Randomize 3.It’s the Sample Size.
Section 1 Part 1. Samples vs Population  Benefits of getting data from the entire population….  You can draw a conclusion about the entire population….more.
Population vs. Sample The entire group of individuals that we want information about is called the population. A sample is a part of the population that.
AP STATISTICS Section 5.1 Designing Samples. Objective: To be able to identify and use different sampling techniques. Observational Study: individuals.
Data Collection and Experimental Design. Data Collection Methods 1. Observational study 2. Experiment 3. Simulation 4. Survey.
Designing Studies In order to produce data that will truly answer the questions about a large group, the way a study is designed is important. 1)Decide.
Surveys and Questionnaires. Population versus Sample.
Market research THE TIMES 100. Market research Market research is the process of gathering and interpreting data about customers and competitors within.
1 Market research. 2 Market research is the process of gathering and interpreting data about customers and competitors within a firm’s target market.
Unit E: Statistics Unit E1: Samples and Populations Digits Topic 14.
Market research THE TIMES 100. Market research Market research is the process of gathering and interpreting data about customers and competitors within.
Market research. Market research is the process of gathering and interpreting data about customers and competitors within an organisation’s target market.
How can data be used? Data can be used to:
Data Collection & Sampling Techniques
Market research THE TIMES 100.
Chapter 1 – Statistics I 01 Learning Outcomes
Lesson 10.7 Concept: How to compare and select samples of a population. Learn about different methods of sampling. Guidelines: There are different sample.
Chapter 1 Introduction and Data Collection
A guide for gathering data
Section 1 Part 1 Chapter 5.
The Process of a Statistical Study
Quantitative Research
Statistics.
Section 5.1 Designing Samples
Collecting Data.
Questions for thought If you think your school is the best school in the world, raise your hand. What’s the problem with this survey? To see what percentage.
Experimental Design, Data collection, and sampling Techniques
Sample Surveys Chapter 11.
Chapter 12 Sample Surveys
Chapter 2 Sociological Research Methods
Principles of Experiment
Marketing Research Process
Section 1.3 Data Collection and Experimental Design.
Is there a market for our business idea?
Samples, Experimental , & Observational Studies
Section 5.1 Designing Samples
Market Research: Primary Data.
Chapter 1 Getting Started Understandable Statistics Ninth Edition
Sampling and Surveys How do we collect data? 8/20/2012.
Data Collection & Sampling Techniques
Chapter 7 Special Topics
The “Big Picture” of Statistics—What is the Purpose?
A way of collecting, organizing, and interpreting data
Data Collection and Sampling
Producing Data Chapter 5.
1.2 Sampling LEARNING GOAL
Introduction to Statistics
Observational Studies, Experiments, and Simple Random Sampling
Pre-Algebra Mrs. Spanier
Market Research: Primary Data.
Chapter 1 The Where, Why, and How of Data Collection
Business and Management Research
Surveys and Questionnaires
Section 5.1 Designing Samples
Chapter 5: Producing Data
Lesson 8: Sampling Techniques
The Language of Sampling
Business Statistics: A First Course (3rd Edition)
A guide for gathering data
Census: a survey which measures an entire population.
Statistics Section 1.3 Describe the components and types of censuses
Chapter 4: Designing Studies
Choosing a Sample.
Sampling Techniques Statistics.
The Where, Why, and How of Data Collection
EQ: What is a “random sample”?
Chapter 1 The Where, Why, and How of Data Collection
Presentation transcript:

Lesson#1 Gathering Data May 26, 2011

SECTION A: DATA Population: The entire group of items or individuals being considered Census: a survey of the entire population Sample: a small group of item of individuals chose to represent the entire population Primary Source Data: data collected directly by the person or group who will use the information. Examples include: personal and telephone interviews, surveys, observations, measurements, product testing. Secondary Source Data: data that have already been collected and are made available to the public. Examples include: Statistics Canada, the media, the internet, publications from polling firms.

SECTION B: SELECTING A SAMPLE Sample selection is an important part of survey design. If a sample size is too small or if the individuals or items chosen are not truly representative of the population, then the sample may be biased and will lead to results that are not valid. Some types of samples that you should know: Simple Random Sample: all members of the population have an equal chance of being selected. Stratified Random Sample: all members of different segments or subsections of the population have an equal chance of being selected

Cluster Sample: every member of a randomly chosen section of the population is chosen Systematic sample: every nth member of the population is selected Convenience Sample: members are selected based on convenience Judgement Sample: the person doing the sampling uses her/his judgement to select a representative simple Self-Selected or Voluntary Sample: only interested member of the population participate

Survey design: When you are designing survey questions, consider the purpose of or reason for the question. Ask yourself: What are you looking to find out by asking that particular question? Is the question clear or does it leave room for interpretation? Is the question worded in such a way so as to influence the participant to respond in a certain way?

OPEN Question: a question where the participant provides a his/her own words CLOSED Question: a question where the participant selects a response from a list of choices See examples on handout Create 5 open questions and 5 closed questions. Trade with another member of the class and have them answer your questions. They will decide if Your questions are worded clearly The questions are biased The questions could be improved in any way