sampling s3 12-01-17-2012

27
Information from Samples Alliance Class January 17, 2012 Math Allian ce Projec t

Upload: kumar-tarun

Post on 20-Jun-2015

126 views

Category:

Technology


0 download

TRANSCRIPT

Page 1: Sampling s3 12-01-17-2012

Information from Samples

Alliance ClassJanuary 17, 2012

MathAllianceProject

Page 2: Sampling s3 12-01-17-2012

AgendaLessons for Student

PostersCCSS Grade 7 Statistics

Types of SamplingSampling Activities

MathAllianceProject

Page 3: Sampling s3 12-01-17-2012

Lesson Plans for Student Posters

Day 1: Brainstorming 2/17

Day 2: Sort and Classify Questions 2/17

Day 3: Planning 2/17

Day 4: Data Collecting 3/17

Day 5: Graphs 3/17

Day 6: Poster 4/1 or spring breakMathAllianceProject

Page 4: Sampling s3 12-01-17-2012

WALT

1. Develop an understanding of 7.SP.1 and 2.

2. Understand the different methods of collecting a sample from a population.

3. Understand the need for random selection of a sample.

MathAllianceProject

Page 5: Sampling s3 12-01-17-2012

Success Criteria

When I am able to clearly explain and provide an example for CCSS standard 7.SP. 1and 2.

When I am able to identify the different methods of sampling and explain why random sampling is important.

MathAllianceProject

Page 6: Sampling s3 12-01-17-2012

CCSS 7th Grade Statistics Domain

 Use random sampling to draw inferences about a population.

1.Understand that statistics can be used to gain information about a population by examining a sample of the population; generalizations about a population from a sample are valid only if the sample is representative of that population. Understand that random sampling tends to produce representative samples and support valid inferences.

MathAllianceProject

Page 7: Sampling s3 12-01-17-2012

CCSS Grade 7 Statistics Domain

2. Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions. For example, estimate the mean word length in a book by randomly sampling words from the book; predict the winner of a school election based on randomly sampled survey data. Gauge how far off the estimate or prediction might be.

MathAllianceProject

Page 8: Sampling s3 12-01-17-2012

Standard 7.SP.1

Read Standard 7.SP.1

Divide your paper in half. On one side, rephrase this standard and on the other side, provide an example.

Share with your partner.

Standard 7.SP.1

Rephrased: Example:

MathAllianceProject

Page 9: Sampling s3 12-01-17-2012

Standard 7.SP.2

Read standard 7.SP.2

Divide your paper in half. On one side, rephrase this standard and on the other side, provide an example.

Share with your partner. Math

AllianceProject

Standard 7.SP.2

Rephrased: Example:

Page 10: Sampling s3 12-01-17-2012

Types of Sampling

Simple Random Sample

Stratified Random Sample

Cluster sampling

Systematic

Convenience

MathAllianceProject

Page 11: Sampling s3 12-01-17-2012

Simple Random Sample

Every subset of a specified size n from the population has an equal chance of being selected

MathAllianceProject

Page 12: Sampling s3 12-01-17-2012

Stratified Random Sample

The population is divided into two or more groups called strata, according to some criterion, such as geographic location, grade level, age, or income, and subsamples are randomly selected from each strata.

MathAllianceProject

Page 13: Sampling s3 12-01-17-2012

Cluster Sample

The population is divided into subgroups (clusters) like families. A simple random sample is taken of the subgroups and then all members of the cluster selected are surveyed.

MathAllianceProject

Page 14: Sampling s3 12-01-17-2012

Systematic Sample

Every kth member ( for example: every 10th person) is selected from a list of all population members.

MathAllianceProject

Page 15: Sampling s3 12-01-17-2012

Convenience Sample

Selection of whichever individuals are easiest to reach

It is done at the “convenience” of the researcher

MathAllianceProject

Page 16: Sampling s3 12-01-17-2012

Errors in Sampling

Non-Observation ErrorsSampling error: naturally occursCoverage error: people sampled do not match the

population of interestUnderrepresentationNon-response: won’t or can’t participate

MathAllianceProject

Page 17: Sampling s3 12-01-17-2012

Errors of Observation

Interview error- interaction between interviewer and person being surveyed

Respondent error: respondents have difficult time answering the question

Measurement error: inaccurate responses when person doesn’t understand question or poorly worded question

Errors in data collection

MathAllianceProject

Page 18: Sampling s3 12-01-17-2012

Random Rectangles

1. When given the cue turn the paper over. Within 5 seconds make a guess for the average area of the rectangles.

2. When given the cue turn the paper over. Select 5 rectangles you think are representative of the rectangles on the page. Write the rectangle numbers and their areas. Compute the average of the 5 rectangles.

MathAllianceProject

Page 19: Sampling s3 12-01-17-2012

Random Rectangles

3. Use the random-number generator on the graphing calculator to select five different numbers from 1 to 100.

Write down the five numbers and the area of each of the five rectangles.

Find the area of the five rectangles.

MathAllianceProject

Page 20: Sampling s3 12-01-17-2012

Random Rectangles

Report the three answers that you found for the average of the rectangles.

1.Guess

2. Representative sample

3.Random sample

At your table construct 3 box plots

MathAllianceProject

Page 21: Sampling s3 12-01-17-2012

Random Rectangles

Compare the three box plots. Describe any similarities and differences.

Compare the medians of the three box plots to the actual area of all 100 rectangles.

MathAllianceProject

Page 22: Sampling s3 12-01-17-2012

Practice

At your table explain how you would conduct: • A simple random sample of teachers in our class• A stratified random sample of teachers in our

class• A systematic sample of teachers in our class

MathAllianceProject

Page 23: Sampling s3 12-01-17-2012

Practice

To conduct a survey of long-distance calling patterns, a researcher opens a telephone book to a random page, closes his eyes, puts his finger down on the page, and then reads off the next 50 names. Which of the following are true statements?I. The survey design incorporates chanceII. The procedure results in a simple random sampleIII. The procedure could easily result in selection bias

a) I and IIb) I and IIIc) II and IIId) I, II and IIIe) None of the above gives the complete set of true responses

MathAllianceProject

Page 24: Sampling s3 12-01-17-2012

Practice

A large elementary school has 15 classrooms, with 24 children in each classroom. A sample of 30 children is chosen by the following procedure:

 

Each of the 15 teachers selects 2 children from his or her classroom to be in the sample by numbering the children from 1 to 24, using a random digit table to select two different random numbers between 01 and 24. The 2 children with those numbers are in the sample.

Did this procedure give a simple random sample of 30 children from the elementary school?

a) No, because the teachers were not selected randomly

b) No, because not all possible groups of 30 children had the same chance of being chosen

c) No, because not all children had the same chance of being chosen

d) Yes, because each child had the same chance of being chosen

e) Yes, because the numbers were assigned randomly to the children

MathAllianceProject

Page 25: Sampling s3 12-01-17-2012

Visual Bias

Pull the slide until the line on the slide looks as if it is the same length as the line on the face of the card.

Turn the card over and read the length

Record this length and report it when asked.

MathAllianceProject

Page 26: Sampling s3 12-01-17-2012

Bias Experiment

Report your length.Construct a box plot of the class data.Compare the box plot to the actual length.Do the reported lengths tend to be the same? Do

they appear to be systematically too long or too short?

MathAllianceProject

Page 27: Sampling s3 12-01-17-2012

Homework

CMP Samples and Population (Handout)

Read pp. 26 to 32.

Do Problem 2.3 page 32

Use the spinners on page 31 and a paper clip as

the spinner to generate the random numbers that

are needed for A1 and 2.MathAllianceProject