2.3 Sampling Techniques Terms  Population: refers to all individuals who belong to a group being studied.

Slides:

Advertisements

Similar presentations

Sampling Techniques.

Advertisements

MBF3C Lesson #1: Sampling Types and Techniques

Sections 2.3 – 2.6 Recap Unit Test on Tuesday, October 2, 2012.

AP Statistics C5 D2 HW: p.287 #25 – 30 Obj: to understand types of samples and possible errors Do Now: How do you think you collect data?

Why sample? Diversity in populations Practicality and cost.

Section 5.1. Observational Study vs. Experiment  In an observational study, we observe individuals and measure variables of interest but do not attempt.

Probability Sampling.

Cluster Sampling The basics. What are we trying to achieve in a survey? A sample that is representative of the larger population A sample that is representative.

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.

Copyright 2010, The World Bank Group. All Rights Reserved. Agricultural Census Sampling Frames and Sampling Section A 1.

Homework Check Homework check now... Please take out your homework so we can check it.

Chapter 2: Statistics of One Variable

Intro Stats Lesson 1.3 B Objectives: SSBAT classify different ways to collect data. SSBAT distinguish between different sampling techniques. Standards:

Surveys and Questionnaires Government agencies, news organizations, and marketing companies often conduct surveys. The results can be factual or subjective.

1-3 Data Collection and Sampling Techniques Surveys are the most common method of collecting data. Three methods of surveying are: 1) Telephone surveys.

In addition to direct measurement, data is frequently obtained through survey. This generally means that individual persons will be queried for information.

6.6 Analyze Surveys and Samples Math Analyze Surveys and Samples Vocabulary GPS MM1D3. Students will relate samples to a population.

Chapter 11.0 Why Study Statistics? Statistics is the study of collecting, displaying, analyzing, and interpreting information. Information that was collected.

Prob and Stats, Aug 26 Unit 1 Review - Fundamental Terms and Definitions Book Sections: N/A Essential Questions: What are the building blocks of Statistics,

Section 1.2 Random Samples 1.2 / 1. Sampling techniques Simple Random Sampling Stratified Sampling Systematic Sampling Cluster Sampling Convenience Sampling.

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.

MDM4U – Mathematics of Data Management

SAMPLING TECHNIQUES. Definitions Statistical inference: is a conclusion concerning a population of observations (or units) made on the bases of the results.

AP Review #4: Sampling & Experimental Design. Sampling Techniques Simple Random Sample – Each combination of individuals has an equal chance of being.

Section 1.2 Random Samples 1 Larson/Farber 4th ed.

Business Project Nicos Rodosthenous PhD 04/11/ /11/20141Dr Nicos Rodosthenous.

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.

Basic Methods of Sampling Random Sampling Selected by using chance or random numbers Each individual subject (human or otherwise) has an equal chance of.

Copyright (C) 2002 Houghton Mifflin Company. All rights reserved. 1 Methods of Producing Data Sampling: drawing subsets from the population Experimentation:

Section 1-3 Data Collection and Sampling Techniques.

Notes 1.3 (Part 1) An Overview of Statistics. What you will learn 1. How to design a statistical study 2. How to collect data by taking a census, using.

13.5 Sampling Techniques The power of collecting data!!!

Part III – Gathering Data

Sampling Techniques Governments, companies, and news agencies often want to know the public’s opinion on pertinent questions. Elections offer an excellent.

Sampling The complete set of people or objects that information is collected from is called the population. Information is normally taken from a small.

1 Sampling Theory Dr. T. T. Kachwala. 2 Population Characteristics There are two ways in which reliable data or information for Population Characteristics.

Collecting Samples Chapter 2.3 – In Search of Good Data Mathematics of Data Management (Nelson) MDM 4U.

Lesson Sources of Errors in Sampling. Objectives Understand how error can be introduced during sampling.

Sampling. Methods of sampling Simple random sampling Systematic sampling Stratified sampling.

 When every unit of the population is examined. This is known as Census method.  On the other hand when a small group selected as representatives of.

Kinds of Samples Statistics is still fun. Random – Choose your population - 7 th graders/7 th grade teachers/7 th grade parents. – Put all the names in.

SAMPLING. Voluntary Response Individuals choose to join the sample in response to an open invitation.

© 2007 Thomson, a part of the Thomson Corporation. Thomson, the Star logo, and Atomic Dog are trademarks used herein under license. All rights reserved.

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.

Population vs. Sample. Population: a set which includes all measurements of interest to the researcher (The collection of all responses, measurements,

Chapter 12 Vocabulary. Matching: any attempt to force a sample to resemble specified attributed of the population Population Parameter: a numerically.

Chapter 2 Lesson 2.2b Collecting Data Sensibly 2.2: Sampling.

Surveys and Questionnaires. Population versus Sample.

Drill #81 Find the equation of the line passing through the following point with the given slope: (-4, -3), m = ¾ 1. Point- Slope Form 2. Slope Intercept.

Sampling Methods Determine what type of sampling method is being used for each of the following.

Unit 1: Producing Data. 1.1: Sampling – Good & Bad Methods Define sampling methods. Interpret the use of different sampling methods for different scenarios.

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??

Unit E: Statistics Unit E1: Samples and Populations Digits Topic 14.

Collecting Samples Chapter 2.3 – In Search of Good Data Mathematics of Data Management (Nelson) MDM 4U.

Sampling Why use sampling? Terms and definitions

Collecting Data.

Statistics – Chapter 1 Data Collection

محيط پژوهش محيط پژوهش كه قلمرو مكاني نيز ناميده مي شود عبارت است از مكاني كه نمونه هاي آماري مورد مطالعه از آنجا گرفته مي شود .

جمعیت –نمونه –روشهای نمونه گیری دکتر محسن عسکرشاهی دکترای آمار زيستی

1.2 Sampling LEARNING GOAL

Introduction to Statistics

Observational Studies, Experiments, and Simple Random Sampling

Chapter 12 part 2 Types of bias.

نمونه گيري و انواع آن تدوین کننده : ملیکه سادات ابراهیمی

Definitions Covered Statistics Individual Variable

Sampling Techniques Statistics.

EQ: What is a “random sample”?

Surveys How to create one.

Presentation transcript:

2.3 Sampling Techniques Terms  Population: refers to all individuals who belong to a group being studied

2.3 Sampling Techniques Terms  Population: refers to all individuals who belong to a group being studied  Sample: a group or items selected from the population

Example 1 Identify the Population in each survey question below How many scars did monkeys get who live in Africa that is dominated by lions?

Example 1 Identify the Population in each survey question below How many scars did monkeys get who live in Africa that is dominated by lions? Population -> monkeys in Africa

Example 1 Identify the Population in each survey question below How many scars did monkeys get who live in Africa that is dominated by lions? Population -> monkeys in Africa Do students prefer robot teachers or human teachers? This is real debate with regards to teachers of English in Asia.

Example 1 Identify the Population in each survey question below How many scars did monkeys get who live in Africa that is dominated by lions? Population -> monkeys in Africa Do students prefer robot teachers or human teachers? This is real debate with regards to teachers of English in Asia. Population -> students

More terms  Sampling frame : the group actually have a chance of being selected

More terms  Sampling frame : the group actually have a chance of being selected  Simple random sample : a sample in which every member of the population has an equal and independent chance of being selected

More terms  Systematic sample : a sample selected by listing a population sequentially and choosing members at regular intervals interval = population size / sample size

 Systematic sample example  interval = pop. of 100/ sample of 20 = every 5 th person surveyed

 Stratified sample : a sample in which each group is represented in the same proportion as it appears in the population

 Stratified sample : a sample in which each group is represented in the same proportion as it appears in the population i.e., Survey TPS students if they like the i-Phone. Note that there are more gr. 12s than gr. 8s so they should represent more of the survey.

Method  Stratified sample : So you choose to survey a fraction of each group within the sample to ensure each group is represented.

Method  Stratified sample : Choose a fraction with justification, say 30%. Grade# of StudentsRel. FrequencyNumber Surveyed Total2381

More terms  Stratified sample : Choose a fraction with justification, say 30%. Grade# of StudentsRel. FrequencyNumber Surveyed Total

More Sample Types

 Cluster sample - the total population is divided into groups (or clusters) and a simple random sample of the groups is selected.

 Cluster sample - the total population is divided into groups (or clusters) and a simple random sample of the groups is selected. Example: a fast-food chain could save time and money by surveying all its employees at randomly selected locations instead of surveying randomly selected employees throughout the chain

 Cluster sample - the total population is divided into groups (or clusters) and a simple random sample of the groups is selected.  Multi-stage sample – several levels of ran. Sampling

 Cluster sample - the total population is divided into groups (or clusters) and a simple random sample of the groups is selected.  Multi-stage sample – several levels of ran. Sampling Example: To examine Ontario households, you can randomly survey certain cities, then randomly survey random blocks, and then survey random houses.

Sample Types  Cluster sample - the total population is divided into groups (or clusters) and a simple random sample of the groups is selected.  Multi-stage sample – several levels of ran. sampling  Voluntary-response sample – researcher invites any member of population into survey

 Cluster sample - the total population is divided into groups (or clusters) and a simple random sample of the groups is selected.  Multi-stage sample – several levels of ran. sampling  Voluntary-response sample – researcher invites any member of population into survey  Convenience sample - sample selected but it’s easily accessible

In class / Home work: 1) Homework: Pg. 117 #1, 2, 3, 6, 8, and 9 *check your work with answers in the back – pg 618 2) Quiz on Friday – histogram/bar graph, definitions, sample types