Information from Samples

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

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Math Alliance Project. Information from Samples. Alliance Class January 17, 2012. Math Alliance Project. Agenda Lessons for Student Posters CCSS Grade 7 Statistics Types of Sampling Sampling Activities. Math Alliance Project. Lesson Plans for Student Posters. - PowerPoint PPT Presentation

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Page 1: Information from Samples

Information from Samples

Alliance ClassJanuary 17, 2012

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AgendaLessons for Student

PostersCCSS Grade 7 Statistics

Types of SamplingSampling Activities

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Lesson Plans for Student Posters

Day 1: Brainstorming 2/17Day 2: Sort and Classify Questions 2/17Day 3: Planning 2/17

Day 4: Data Collecting 3/17

Day 5: Graphs 3/17Day 6: Poster 4/1 or spring break

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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.

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Success CriteriaWhen 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.

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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.

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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.

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Standard 7.SP.1Read 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:

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Standard 7.SP.2Read 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

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Standard 7.SP.2

Rephrased: Example:

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Types of Sampling Simple Random Sample

Stratified Random Sample

Cluster sampling

Systematic

ConvenienceMathAllianceProject

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Simple Random SampleEvery subset of a specified size n from the

population has an equal chance of being selected

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Stratified Random SampleThe 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.

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Cluster SampleThe 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.

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Systematic SampleEvery kth member ( for example: every 10th

person) is selected from a list of all population members.

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Convenience SampleSelection of whichever individuals are easiest to

reachIt is done at the “convenience” of the researcher

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Errors in SamplingNon-Observation Errors

Sampling error: naturally occursCoverage error: people sampled do not match the

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

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Errors of ObservationInterview error- interaction between interviewer

and person being surveyedRespondent error: respondents have difficult time

answering the questionMeasurement error: inaccurate responses when

person doesn’t understand question or poorly worded question

Errors in data collection

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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.

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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.

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Random Rectangles

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

1.Guess2. Representative sample3.Random sample

At your table construct 3 box plots

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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.

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PracticeAt 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

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PracticeTo 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

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PracticeA 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

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Visual BiasPull 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.

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Bias ExperimentReport 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?

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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