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.

Slides:



Advertisements
Similar presentations
Sampling techniques as applied to environmental and earth sciences
Advertisements

Sampling A population is the total collection of units or elements you want to analyze. Whether the units you are talking about are residents of Nebraska,
Probability & Statistics
Sampling.
MBF3C Lesson #1: Sampling Types and Techniques
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?
AP Statistics Chapter 5 Notes.
Categories of Sampling Techniques n Statistical ( Probability ) Sampling: –Simple Random Sampling –Stratified Random Sampling –Cluster Random Sampling.
Sampling and Randomness
Sampling Prepared by Dr. Manal Moussa. Sampling Prepared by Dr. Manal Moussa.
Chapter 1 Sampling and Data.
Section 5.1. Observational Study vs. Experiment  In an observational study, we observe individuals and measure variables of interest but do not attempt.
Information from Samples Alliance Class January 17, 2012 Math Alliance Project.
Sampling ADV 3500 Fall 2007 Chunsik Lee. A sample is some part of a larger body specifically selected to represent the whole. Sampling is the process.
Copyright ©2005 Brooks/Cole, a division of Thomson Learning, Inc. How to Get a Good Sample Chapter 4.
Sampling Methods.
Sampling Moazzam Ali.
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.
Key terms in Sampling Sample: A fraction or portion of the population of interest e.g. consumers, brands, companies, products, etc Population: All the.
Unit 4 Statistics 1-variable. Intro Problem A farmer is investigating the effect of a new organic fertilizer on his crops of peas. He has divided a small.
Statistics Statistics is the art and science of gathering, analyzing, and making inferences (predictions) from numerical information, data, obtained in.
Chapter 5 Data Production
Homework Check Homework check now... Please take out your homework so we can check it.
MGT-491 QUANTITATIVE ANALYSIS AND RESEARCH FOR MANAGEMENT OSMAN BIN SAIF Session 13.
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:
1 Excursions in Modern Mathematics Sixth Edition Peter Tannenbaum.
Sampling.
AP Statistics.  Observational study: We observe individuals and measure variables of interest but do not attempt to influence responses.  Experiment:
11.4 Collecting Data and Circle graphs E S: Gather and Organize Information 1.) What percent of the budget is spent on rent? 2.) How much money do the.
Part III Gathering Data.
Under the Guidance of Dr. ADITHYA KUMARI H. Associate Professor DOS in Library and Information Science University of Mysore Mysore By Poornima Research.
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.
Population and 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.
Sampling Methods.
Sampling Design and Analysis MTH 494 Ossam Chohan Assistant Professor CIIT Abbottabad.
STA Lecture 51 STA 291 Lecture 5 Chap 4 Graphical and Tabular Techniques for categorical data Graphical Techniques for numerical data.
Teaching Research Methods: Resources for HE Social Sciences Practitioners Random Sampling.
An Overview of Statistics Section 1.1. Ch1 Larson/Farber 2 Statistics is the science of collecting, organizing, analyzing, and interpreting data in order.
Section 5.1 Designing Samples AP Statistics
Learning Objectives Explain the role of sampling in the research process Distinguish between probability and nonprobability sampling Understand the factors.
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.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. 1 In an observational study, the researcher observes values of the response variable and explanatory.
1 Chapter 2: Sampling and Surveys. 2 Random Sampling Exercise Choose a sample of n=5 from our class, noting the proportion of females in your sample.
2-1 Sample Design. Sample Subset of a larger population Population Any complete group People Sales people Stores Students Teachers.
Data Collection and Experimental Design. Data Collection Methods 1. Observational study 2. Experiment 3. Simulation 4. Survey.
 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.
Other Sampling Methods I can distinguish a SRS from a stratified random sample or cluster sample. I can give advantages and disadvantages of each sampling.
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 Definitions Part 2. Representative Sample For a sample to be representative of a population, it must possess the same characteristics as the.
Warm up Which type of study is best for the following situations: cross-sectional or longitudinal? a) Determining what percent of high school students.
Sampling. Census and Sample (defined) A census is based on every member of the population of interest in a research project A sample is a subset of the.
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?
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.
© Copyright McGraw-Hill CHAPTER 14 Sampling and Simulation.
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,
AP Statistics C5 D1 HW: p.285 #19-24 Quiz in 2 class days Obj: to choose a simple random sample Do Now: What is the difference between a sample and a population?
Collecting Samples Chapter 2.3 – In Search of Good Data Mathematics of Data Management (Nelson) MDM 4U.
Collecting Data.
Experimental Design, Data collection, and sampling Techniques
Sampling And Sampling Methods.
7-1 Statistics Sampling Techniques.
Sampling and Surveys How do we collect data? 8/20/2012.
Information from Samples
11. Sampling and populations
DS6 – Sampling and Populations
Sampling.
Presentation transcript:

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 of cars in a car park Continuous Measuring Time in a race Baby’s weight Length of a leaf What are the limitations with collecting continuous data?

Discrete GraphContinuous Graph

Census Census – data gathered from an entire population Examples of a census: the entire population of a country. Australians must give information about themselves every 5 years to the Australian Bureau of Statistics (next census date is August 2016) Can also conduct a census on a population of objects Example: number of wattle trees in a National Park or soil in a farmer’s field

Survey Survey – data gathered from a sample (a proportion of a the population) It is impractical to conduct a census every time data is needed so a survey is done instead.

Random Sampling Each element of the population has an equal chance of being selected Use 2, 3 or 4 digit random number tables Random function on calculator Lot sampling (lotto numbers used) Using a spreadsheet (page 176)

Accessibility sampling A sample drawn only from easily accessible items often does not represent the views of the population. Eg ask 100 four year old preschool girls if Pink is there favourite colour, then ask the same question of 100 four year old boys.

Systematic Sampling For example choose every 10 person in the school from an alphabetical list Last name on every page in a telephone directory

Quota Sampling Quota refers to a particular number of items to be surveyed Example: 1000 Brisbane residents, 500 must be female, 500 must be male. In each group 25% must be 13 – 17 years, 25% 18 – 25, 25% 26 – 35 years, 25% 36 + years. Any method of choosing each sub-group can be used Open to bias

Judgmental Sampling The person conducting the sample makes a judgment about the composition of the sample.

Stratified Sampling When a sample is selected from a population consisting of various strata, or levels, it is important to have the strata or levels in the sample occurring in the same proportions as they do in the population. Eg selecting a Student Representative Council in a school where each year level has a variation in numbers. (page 179)

Capture - Recapture Capture–recapture sampling is particularly useful for estimating populations of items that are difficult or impossible to count, such as plants and animals. It is often necessary to monitor wildlife numbers to prevent the occurrence of plagues and the extinction of species. The technique used is to capture a certain number of the species, tag them, then release them. At a later date, another sample is caught and the number of tagged specimens in the sample observed. From this information, the population of the species can be estimated.

Exercise 4B Q2 – Random numbers Q9, Q11 – strata Q12, Q13, Q17 capture-recapture