SAMPLING If we need to carry out a survey, it is not always possible to test a whole 'population'. In cases such as this, a method of sampling is needed.

Slides:



Advertisements
Similar presentations
Market Research : Sampling A sample means a part of a larger group If I asked all of you how many of you know the Capital of China ? and 50% got the right.
Advertisements

Market research THE TIMES 100.
Copyright © 2005 Brooks/Cole, a division of Thomson Learning, Inc. 1.1 Chapter Five Data Collection and Sampling.
Introduction to Sampling (Dr. Monticino). Assignment Sheet  Read Chapter 19 carefully  Quiz # 10 over Chapter 19  Assignment # 12 (Due Monday April.
MBF3C Lesson #1: Sampling Types and Techniques
Chapter 10: Sampling and Sampling Distributions
3.2 Sampling Design. Sample vs. Population Recall our discussion about sample vs. population. The entire group of individuals that we are interested in.
Exam Info You will need a PICTURE ID to turn in your exam! Take the exam in the correct section! No hats, baggy clothes, scarves, or cell phones on exam.
Types of sampling New Info Population Random Sampling All items have an equal chance of being picked. (put numbers in a hat) Systematic Sampling
Sampling Methods Algebra II.
Chapter 8 Selecting Research Participants. DEFINING A POPULATION BY A RANDOM NUMBERS TABLE  TABLE 8.1  Partial Page of a Random Numbers Table  ____________________________________________________________________________.
Types of sampling New Info Population Random Sampling All items have an equal chance of being picked. (put numbers in a hat) Systematic Sampling
STRATIFIED SAMPLING DEFINITION Strata: groups of members that share common characteristics Stratified sampling: the population is divided into subpopulations.
SINGLE VARIABLE DATA DEFINITIONS ETC. GENERAL STUFF STATISTICS IS THE PROCESS OF GATHERING, DISPLAYING, AND ANALYZING DATA. DATA CAN BE GATHERED BY CONDUCTING.
Sampling Methods.
POPULATION- the entire group of individuals that we want information about SAMPLE- the part of the population that we actually examine in order to gather.
SHS Maths | shsmaths.com Populations and Sampling Stats GCSE Chapter 1.
Midterm 1 Review (1) Types of Random Samples (2) Percentages & Crosstabs.
Data Handling Collecting Data Learning Outcomes  Understand terms: sample, population, discrete, continuous and variable  Understand the need for different.
IB Business and Management
Lesson 7.5 M2 Select & Draw Conclusions from Samples A survey is a study of one or more characteristics of a group. The entire group you want information.
Honors Advanced Algebra Presentation 1-3 SAMPLING METHODS.
In addition to direct measurement, data is frequently obtained through survey. This generally means that individual persons will be queried for information.
Chapter 11.0 Why Study Statistics? Statistics is the study of collecting, displaying, analyzing, and interpreting information. Information that was collected.
90288 – Select a Sample and Make Inferences from Data The Mayor’s Claim.
Under the Guidance of Dr. ADITHYA KUMARI H. Associate Professor DOS in Library and Information Science University of Mysore Mysore By Poornima Research.
Section 1.2 Random Samples 1.2 / 1. Sampling techniques Simple Random Sampling Stratified Sampling Systematic Sampling Cluster Sampling Convenience Sampling.
Data Gathering Techniques. Essential Question: What are the different methods for gathering data about a population?
Sampling Techniques. Simple Random Sample Keep Your Index Card Number On You Table 1 – Random Numbers
How do I collect sample data from population? 7.6 Sample Data and Populations Example 1 Collect data by randomly sampling A gym has 467 female members.
MDM4U - Collecting Samples Chapter 5.2,5.3. Why Sampling? sampling is done because a census is too expensive or time consuming the challenge is being.
When we carry out research we need people to take part, these are called participants. It is important to use suitable participants in your study. Hello!
Teaching Research Methods: Resources for HE Social Sciences Practitioners Random Sampling.
SAMPLING TECHNIQUES. Definitions Statistical inference: is a conclusion concerning a population of observations (or units) made on the bases of the results.
1 Chapter Two: Sampling Methods §know the reasons of sampling §use the table of random numbers §perform Simple Random, Systematic, Stratified, Cluster,
 Sampling refers to a group of people taking part in a market research survey selected to be representative of the target market overall  Types of sampling.
© Nuffield Foundation 2011 Nuffield Free-Standing Mathematics Activity Parking permits.
S AMPLING T ECHNIQUES. How is it possible that when survey’s come out, they can say that 23% of Canadians like to take long walks on the beach when no.
Whiteboardmaths.com © 2007 All rights reserved
Revisiting Sampling Concepts. Population A population is all the possible members of a category Examples: the heights of every male or every female the.
Sampling Great Marlow School Mathematics Department.
Chapter Eleven Sampling: Design and Procedures Copyright © 2010 Pearson Education, Inc
Sampling The complete set of people or objects that information is collected from is called the population. Information is normally taken from a small.
A sample is a small number of individuals representing a larger group.
Copyright © 2008 Pearson Education, Inc.. Slide 1-2 Chapter 1 The Nature of Statistics Section 1.3 Other Sampling Designs.
6.6 Analyze Surveys and Samples MM1D3c: Understand that a random sample is used to improve the chance of selecting a representative sample. Unit 4: The.
Sampling. Methods of sampling Simple random sampling Systematic sampling Stratified sampling.
By: Noah St.Onge-Colwell. Population?  The population I decided to go with was students from FHS. I decided to pick four students from each grade and.
Chapter 7 Data for Decisions. Population vs Sample A Population in a statistical study is the entire group of individuals about which we want information.
Chapter 3 Sampling Techniques. Chapter 3 – Sampling Techniques When conducting a survey, it is important to choose the right questions to ask and to select.
Statistics 12 Maths A. Discrete Counting Number of people (can’t have a part of person) Shoe sizes (can have half sizes, but not quarter sizes) Number.
Populations and Samples. Warm Up
Unit 1: Producing Data. 1.1: Sampling – Good & Bad Methods Define sampling methods. Interpret the use of different sampling methods for different scenarios.
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.
Market Research. Marketing Issues and Concepts Market research is a broad and far reaching process Not just used to find out if consumers will buy your.
Descriptive Research Method. Description Case studies Examines one individual in depth Provides fruitful ideas Cannot be used to generalize Naturalistic.
Honors Stats 3 Day 5. Do Now 1) Round 2 Match game! Turn all the cards over and match the examples to the bias 2) Check your HW: Questions??
DATA COLLECTION AND EXPERIMENTAL DESIGN SECTION 1.3 NOTES.
Chapter 14 Sampling and Simulation McGraw-Hill, Bluman, 7th ed., Chapter 14 1.
Collecting Samples Chapter 2.3 – In Search of Good Data Mathematics of Data Management (Nelson) MDM 4U.
Sampling. Types of sampling Convenience Sampling Quota Sampling Cluster Sampling Systematic Sampling Random Sampling Stratified Sampling.
Collecting Data.
Class Discussion on Sampling
Sampling.
Sampling.
Sampling.
Sampling.
Sampling Techniques Statistics.
Sampling.
Sampling.
Presentation transcript:

SAMPLING If we need to carry out a survey, it is not always possible to test a whole 'population'. In cases such as this, a method of sampling is needed.

RANDOM SAMPLING Use a table of random numbers. Use the random numbers function on a calculator or computer

STRATIFIED SAMPLING The sample size is proportional to the size of the 'layer of the population. You can choose a percentage of the population or a set number for the size of the sample.

Stratified Sampling – Example I want a sample of 200 pupils from a school. The table below shows the number of pupils in each year group. YearNo. of pupils How many year 7 pupil should be in my sample? There are 1035 pupils altogether 240 x 200 = > 46 pupils 1035 You then choose 46 pupils by random sampling

Stratified Sampling – Question I want a sample of 150 pupils from a school. The table below shows the number of pupils in each year group. YearNo. of pupils Work out how many pupils from each year group should be in the sample of 150 pupils.

SYSTEMATIC SAMPLING If a sample of size s is to be taken from a population of size n, then every n/s member of the population is tested. The start point is chosen at random. If we want to test a sample of size 100 from a population of 2000, we test every 2000/100 = every 20 th member. We use random numbers to determine the starting point. E.g. If we obtained the random number 7, then we would test 7, 27, 47, 67,... Make sure that each member of the population is arranged randomly. If they are grouped together before the sample is taken, then the sample could become biased.

QUOTA SAMPLING It is a method often used by market research companies. The interviewer will normally be given some instructions (e.g. ask approximately the same number of males and females between the ages of 20 and 60), but they will then be left to choose the interviewees themselves.

AVOIDING BIAS State which sampling method you have chosen to use and why you have used it. Evaluate your sampling process by highlighting problems which may arise from your selected sampling technique. A survey to find out what your local town's favourite pet is will reveal biased results if you choose to ask passers by in the park because you are most likely to find people walking their dogs.