Data Collection and Experimental Design. Data Collection Methods 1. Observational study 2. Experiment 3. Simulation 4. Survey.

Slides:

Advertisements

Similar presentations

1. 2 GUIDELINES 1. Identify the variable(s) of interest (the focus) and the population of the study. 2. Develop a detailed plan for collecting data. If.

Advertisements

§ 1.3 EXPERIMENTAL DESIGN. 2 DESIGNING A STATISTICAL STUDY GUIDELINES 1.Identify the variable(s) of interest (the focus) and the population of the study.

MBF3C Lesson #1: Sampling Types and Techniques

1. Identify the variable(s) of interest (the focus) and the population of the study. 2. Develop a detailed plan for collecting data. Make sure sample.

Methods of Data Collection

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?

Introduction to Statistics

Sampling and Sampling Procedures.  In most epidemiologic studies, we deal with a sample of the population  The study population may be:  An entire.

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.

Chapter 1 Getting Started

Random Sampling and Introduction to Experimental Design.

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

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

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

Copyright (C) 2002 Houghton Mifflin Company. All rights reserved. 1 Understandable Statistics Seventh Edition By Brase and Brase Prepared by: Lynn Smith.

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 Copyright © 2014, 2012, 2010 Pearson Education, Inc. Chapter 1 Introduction to Statistics 1-4/1.5Collecting Sample Data.

Collection of Data Chapter 4. Three Types of Studies Survey Survey Observational Study Observational Study Controlled Experiment Controlled Experiment.

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.

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

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

1. Identify the variable(s) of interest (the focus) and the population of the study. 2. Develop a detailed plan for collecting data. Make sure sample.

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.

Experiments Main role of randomization: Assign treatments to the experimental units. Sampling Main role of randomization: Random selection of the sample.

Section 1.3 The Process of a Statistical Study HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2008 by Hawkes Learning Systems/Quant Systems,

An Overview of Statistics Section 1.1. Ch1 Larson/Farber 2 Statistics is the science of collecting, organizing, analyzing, and interpreting data in order.

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.

AP STATISTICS Section 5.1 Designing Samples. Objective: To be able to identify and use different sampling techniques. Observational Study: individuals.

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.

Lecture 1 Stat Applications, Types of Data And Statistical Inference.

SAMPLING TECHNIQUES LECTURE - 2 GE 608 Experimental Methods and Analysis Oct 28, 2015 Muharrum 14, 1437.

Collection of Data Jim Bohan

Ch1 Larson/Farber 1 Elementary Statistics Math III Introduction to Statistics.

Ch1 Larson/Farber 1 1 Elementary Statistics Larson Farber Introduction to Statistics As you view these slides be sure to have paper, pencil, a calculator.

Ch1 Larson/Farber 1 1 Elementary Statistics Larson Farber Introduction to Statistics As you view these slides be sure to have paper, pencil, a calculator.

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.

Statistical Study Design: 1. Identify individuals of interest 2. Specify variables and protocols for measurements 3. Decide on sampling method 4. Collect.

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

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.

Warm up Which type of study is best for the following situations: cross-sectional or longitudinal? a) Determining what percent of high school students.

We’ve been limited to date being given to us. But we can collect it ourselves using specific sampling techniques. Chapter 12: Sample Surveys.

1.3 Experimental Design What is the point of a statistical study? Is the way you design the study important when reaching conclusions or making decisions?

An Overview of Statistics Section 1.1 After you see the slides for each section, do the Try It Yourself problems in your text for that section to see if.

Section 1.2 Random Samples. 2 Sampling Using a small group to represent the population Census includes the entire population usually not practical, and.

Sect. 1-3 Experimental Design Objective: SWBAT learn how to design a statistical Study, How to collect data by taking a census using a sampling, using.

1.3 Experimental Design. What is the goal of every statistical Study?  Collect data  Use data to make a decision If the process to collect data is flawed,

Experimental Design Data Collection Sampling Techniques.

Collecting Data Backbone of Statistics. It’s all about the Vocabulary!  Population: the entire group that we are interested in  Sample: some.

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

Statistics: Experimental Design

The Process of a Statistical Study

Experimental Design, Data collection, and sampling Techniques

Probability and Statistics

Section 1.3 Data Collection and Experimental Design.

Section 5.1 Designing Samples

Who do I ask, what do I ask them, what does that tell me?

1.2 Sampling LEARNING GOAL

Lesson#1 Gathering Data

Census: a survey which measures an entire population.

Choosing a Sample.

Sampling Techniques Statistics.

EQ: What is a “random sample”?

Probability and Statistics

Presentation transcript:

Data Collection and Experimental Design

Data Collection Methods 1. Observational study 2. Experiment 3. Simulation 4. Survey

EX: which method of data collection would you use? Why? A study of the effect of a product’s warning label to determine whether consumers will still buy the product. A study of how often people wash their hands in public restrooms.

Sampling Techniques Census: a count or measure of the entire population. SAMPLES are part of the population. Random Sample: every member of the population has an equal chance of being selected. Stratified Sample: the population is divided into subsets (strata), then a sample is randomly selected from each of the strata.

More Sampling Techniques Cluster Sample: population is divided into groups (clusters), then select all members in one or more clusters. Systematic Sample: Each member of the population is assigned a number, placed in order, then select every nth member starting at a randomly selected number. Convenience Sample: uses only available members of the population.

EX: What sampling technique was used? Chosen at random, 500 rural and 500 urban persons age 65 and older are asked about their health and their experience with prescription drugs. From calls made with randomly generated telephone numbers, 1012 respondents are asked if they rent of own their residences.