Lecture 2: Data Collecting and Sampling

Slides:



Advertisements
Similar presentations
Section 1-4 Data Collection & Sampling Techniques.
Advertisements

Vocabulary of Statistics Part 3. Data Collection - Surveys  Telephone pros: less costly, more candid pros: less costly, more candid cons: no phone, no.
© 2003 Prentice-Hall, Inc.Chap 1-1 Business Statistics: A First Course (3 rd Edition) Chapter 1 Introduction and Data Collection.
© 2004 Prentice-Hall, Inc.Chap 1-1 Basic Business Statistics (9 th Edition) Chapter 1 Introduction and Data Collection.
© 2002 Prentice-Hall, Inc.Chap 1-1 Statistics for Managers using Microsoft Excel 3 rd Edition Chapter 1 Introduction and Data Collection.
Basic Business Statistics (8th Edition)
Copyright ©2005 Brooks/Cole, a division of Thomson Learning, Inc. How to Get a Good Sample Chapter 4.
© Copyright McGraw-Hill CHAPTER 1 The Nature of Probability and Statistics.
Aim: What are the types of surveys and sampling techniques used by researchers?
Chapter 1 The Nature of Probability and Statistics 1 Copyright © 2012 The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
Aim: Review Session 1 for Final Exploratory Data Analysis & Types of Studies HW: complete worksheet.
Basic Business Statistics, 8e © 2002 Prentice-Hall, Inc. Chap 1-1 Inferential Statistics for Forecasting Dr. Ghada Abo-zaid Inferential Statistics for.
1 of 29Visit UMT online at Prentice Hall 2003 Chapter 1, STAT125Basic Business Statistics STATISTICS FOR MANAGERS University of Management.
Data Collection and Sampling Techniques.   Data can be collected in a variety of ways. One of the most common methods is through the use of surveys.
Sampling & Simulation Chapter – Common Sampling Techniques  For researchers to make valid inferences about population characteristics, samples.
Data Collecting and Sampling Techniques Lecture (3) Lecturer : FATEN AL-HUSSAIN.
© Copyright McGraw-Hill CHAPTER 14 Sampling and Simulation.
MATH Section 6.1. Sampling: Terms: Population – each element (or person) from the set of observations that can be made Sample – a subset of the.
1-3: Data collection and sampling techniques Note: This PowerPoint is only a summary and your main source should be the book.
1-3: Data collection and sampling techniques Note: This PowerPoint is only a summary and your main source should be the book.
1-3 Data Collection and Sampling techniques  Data Collection  Surveys:  Most common method  Telephone Survey  Mailed questionnaire  Personal interview.
Statistics Terminology. What is statistics? The science of conducting studies to collect, organize, summarize, analyze, and draw conclusions from data.
Statistics for Managers Using Microsoft Excel, 4e © 2004 Prentice-Hall, Inc. Chap 1-1 Statistics for Managers Using Microsoft ® Excel 4 th Edition Chapter.
How can data be used? Data can be used to:
AC 1.2 present the survey methodology and sampling frame used
Data Collection & Sampling Techniques
Elementary Statistics
Learning Objectives : After completing this lesson, you should be able to: Describe key data collection methods Know key definitions: Population vs. Sample.
Chapter 1 Introduction and Data Collection
Unit 1 Section 1.3.
Sampling and Experimentation
Sampling Why use sampling? Terms and definitions
Collecting Data with Surveys and Scientific Studies
Warm Up Assume that you are a member of the Family Research Council and have become increasingly concerned about the drug use by professional sports.
Data Collection Statistics
Statistics – Chapter 1 Data Collection
Experimental Design, Data collection, and sampling Techniques
Elementary Statistics MOREHEAD STATE UNIVERSITY
Planning and Conducting a Study
Research Methods: Concepts and Connections First Edition
Understandable Statistics
Defining and Collecting Data
Section 5.1 Designing Samples
Data Collection & Sampling Techniques
Chapter 1 Getting Started Understandable Statistics Ninth Edition
Sampling and Surveys How do we collect data? 8/20/2012.
The Nature of Probability and Statistics
Data Collection & Sampling Techniques
Chapter 7 Sampling Distributions
Sampling Sampling relates to the degree to which those surveyed are representative of a specific population The sample frame is the set of people who have.
Introduction to Statistics
The Nature of Probability and Statistics
Sampling Sampling relates to the degree to which those surveyed are representative of a specific population The sample frame is the set of people who have.
Vocabulary of Statistics
Chapter 1: Statistics.
Elementary Statistics MOREHEAD STATE UNIVERSITY
Chapter 1 The Where, Why, and How of Data Collection
Surveys and Questionnaires
Chapter 5: Producing Data
MATH 2311 Section 6.1.
Chapter 5: Producing Data
The Nature of Probability and Statistics
Business Statistics: A First Course (3rd Edition)
Sociological Research Methods
Defining and Collecting Data
Chapter 4: Designing Studies
The Where, Why, and How of Data Collection
Defining and Collecting Data
MATH 2311 Section 6.1.
Chapter 1 The Where, Why, and How of Data Collection
Presentation transcript:

Lecture 2: Data Collecting and Sampling www.hndit.com Statistics for IT Lecture 2: Data Collecting and Sampling 11/24/2018

www.hndit.com Course Objectives After completing this module, students should be able to Identify the methods of data collecting. Identify the four basic sampling techniques. Explain the difference between an observational and an experimental study. 11/24/2018

Data Collection and Sampling Techniques www.hndit.com Data Collection and Sampling Techniques Data can be collected in a variety of ways. One of the most common methods is through the use of surveys. Surveys can be done by using a variety of methods. Three of the most common methods are the telephone survey, the mailed questionnaire, and the personal interview

Telephone surveys Advantage Disadvantages www.hndit.com Telephone surveys have an advantage over personal interview surveys in that they are less costly. Also, people may be more candid in their opinions since there is no face to- face contact. Disadvantages A major drawback to the telephone survey is that some people in the population will not have phones or will not answer when the calls are made; hence, not all people have a chance of being surveyed. Also, many people now have unlisted numbers and cell phones, so they cannot be surveyed. Finally, even the tone of the voice of the interviewer might influence the response of the person who is being interviewed.

Mailed questionnaire surveys www.hndit.com Mailed questionnaire surveys Advantages Mailed questionnaire surveys can be used to cover a wider geographic area than telephone surveys or personal interviews since mailed questionnaire surveys are less expensive to conduct. Also, respondents can remain anonymous if they desire. Disadvantages of mailed questionnaire surveys include a low number of responses and inappropriate answers to questions. Another drawback is that some people may have difficulty reading or understanding the questions.

Personal interview Advantage Disadvantage www.hndit.com Personal interview Advantage Personal interview surveys have the advantage of obtaining in-depth responses toquestions from the person being interviewed. Disadvantage One disadvantage is that interviewers must be trained in asking questions and recording responses, which makes the personal interview survey more costly than the other two survey methods. The interviewer may be biased in his or her selection of respondents.

www.hndit.com Other ways Data can also be collected in other ways, such as surveying records or direct observation of situations.

www.hndit.com Sampling To obtain samples that are unbiased—i.e., that give each subject in the population an equally likely chance of being selected—statisticians use four basic methods of sampling: random, systematic, stratified, and cluster sampling.

www.hndit.com Random samples Random samples are selected by using chance methods or random numbers. Statisticians use a method of obtaining numbers by generating random numbers with a computer or calculator.

Systematic Samples Decide on Sample Size: n www.hndit.com Systematic Samples Decide on Sample Size: n Divide Frame of N individuals into Groups of k Individuals: k=N/n Randomly Select One Individual from the 1st Group Select Every k-th Individual Thereafter

www.hndit.com Stratified Samples Population Divided into 2 or More Groups According to Some Common Characteristic Simple Random Sample Selected from Each Group The Two or More Samples are Combined into One

www.hndit.com Cluster Samples Population Divided into Several “Clusters,” Each Representative of the Population A Random Sampling of Clusters is Taken All Items in the Selected Clusters are Studied

Observational and Experimental Studies www.hndit.com Observational and Experimental Studies In an observational study, the researcher merely observes and tries to draw conclusions based on the observations. The researcher manipulates the independent (explanatory) variable and tries to determine how the manipulation influences the dependent (outcome) variable in an experimental study. A confounding variable influences the dependent variable but cannot be separated from the independent variable.

Worked Example www.hndit.com American Culture and Drug Abuse Assume you are a member of the Family Research Council and have become increasingly concerned about the drug use by professional sports players. You set up a plan and conduct a survey on how people believe the American culture (television, movies, magazines, and popular music) influences illegal drug use. Your survey consists of 2250 adults and adolescents from around the country. A consumer group petitions you for more information about your survey. Answer the following questions about your survey. 1. What type of survey did you use (phone, mail, or interview)? 2. What are the advantages and disadvantages of the surveying methods you did not use? 3. What type of scores did you use? Why? 4. Did you use a random method for deciding who would be in your sample? 5. Which of the methods (stratified, systematic, cluster, or convenience) did you use? 6. Why was that method more appropriate for this type of data collection? 7. If a convenience sample were obtained consisting of only adolescents, how would the results of the study be affected?

www.hndit.com Answer Answers will vary, so this is one possible answer. 1. I used a telephone survey. The advantage to my survey method is that this was a relatively inexpensive survey method (although more expensive than using the mail) that could get a fairly sizable response. The disadvantage to my survey method is that I have not included anyone without a telephone. (Note: My survey used a random dialing method to include unlisted numbers and cell phone exchanges.) 2. A mail survey also would have been fairly inexpensive, but my response rate may have been much lower than what I got with my telephone survey. Interviewing would have allowed me to use follow-up questions and to clarify any questions of the respondents at the time of the interview. However, interviewing is very labor- and cost-intensive.

www.hndit.com 3. I used ordinal data on a scale of 1 to 5. The scores were 1 strongly disagree, 2 disagree, 3 neutral,4 agree, 5 strongly agree. 4. The random method that I used was a random dialing method. 5. To include people from each state, I used a stratified random sample, collecting data randomly from each of the area codes and telephone exchanges available.

www.hndit.com 6. This method allowed me to make sure that I had representation from each area of the United States. 7. Convenience samples may not be representative of the population, and a convenience sample of adolescents would probably differ greatly from the general population with regard to the influence of American culture on illegal drug use.

www.hndit.com Thank You!