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5'1: Designing Samples

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Population entire group of individuals we want information about. ... interviewer's race or gender may influence responses regarding racism or sexism. ... – PowerPoint PPT presentation

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Title: 5'1: Designing Samples


1
5.1 Designing Samples
2
Important Distinction
  • Observational Study observe individuals and
    measure variables but do not attempt to influence
    the responses.
  • Experiment deliberately impose some treatment
    on individuals in order to observe responses.

3
Designing Samples
  • Population entire group of individuals we want
    information about.
  • Sample part of the population we actually
    examine.
  • Samples are used due to constraints such as time,
    cost, and inconvenience.

4
Census vs. Sampling
  • Census contacting every individual in the
    entire population.
  • Sampling studying a part in order to gain
    information about the whole.

5
Sampling Methods
  • Voluntary Response Sample people who choose
    themselves by responding to a general appeal
    (question, etc.).
  • Bias - those with strong (especially negative)
    opinions are most likely to respond.
  • Remember Ann Landers?
  • Write-in, Call-in, and online polls are not very
    reliable!
  • Convenience Sample choosing individuals who are
    easiest to reach.
  • Bias Mall samples are convenient. However,
    they are more likely to include teenagers,
    retirees, and wealthier segments of the
    population.

6
What is BIAS?
  • Bias occurs when a sampling method systematically
    favors certain outcomes.
  • Personal Choice (by a responder to a VRS or the
    interviewer of a CS) produces bias.
  • The statisticians remedy?
  • CHANCE!

7
I. Simple Random Samples
  • Simple Random Sample (SRS) every member of a
    population has an equal chance of being selected.
  • Ex) Names in a hat (population) are drawn out at
    random until you get a handful (sample).
  • NOTE larger random samples give more accurate
    results than smaller samples.
  • Random Digits Table (Table B Back of Book)
  • Each entry is equally likely to be any of the 10
    digits 0 through 9.
  • Entries are independent of each other.

8
Using Table B
  • DPS would like to interview a sample of 5
    students to find ways to improve teacher quality.
    To avoid bias, DPS will use a SRS of size 5.
  • Steps
  • Label Give each student a numerical label. Two
    digits are needed in our class. For example, 01
    to 24.
  • Table B Enter anywhere. Lets try line 130.
  • 69051 64817 87174 09517 84534 06489 87201
    97245
  • 69 05 16 48 17 87 17 40 95 17 84 53
    40 64 89 87 20 19
  • Students 05, 16, 17, 20, 19 are selected
  • Its good practice to start at a different row
    every time you use Table B

9
If only I had my Table B
10
TI Alternative
  • MATH, PRB, randInt(1,24), hit ENTER five times
  • ENTER again if you get repeats
  • MATH, PRB, randInt(1,24,5), ENTER
  • Works well unless you get repeats

11
Other Sampling Methods
  • Probability Sample a sample chosen by chance
  • The use of chance to select the sample is the
    ESSENTIAL principle of statistical sampling.
  • Stratified Random Sample -
  • First, divide the population into strata (groups
    of individuals) that are similar in some way.
  • Next, choose a separate SRS in each stratum and
    combine to form the full sample.
  • Ex) Divide a population of high schools into
    public, Catholic, and other private schools

12
Continued
  • Cluster Sampling
  • First, divide the population into groups, or
    clusters.
  • Next, clusters are randomly selected.
  • ALL individuals in the chosen clusters are
    selected for the sample.
  • Ex) Do students feel they have enough time for
    AP Statistics free response questions?
  • Randomly select a few schools from a
    comprehensive list featuring every school that
    administers the AP exam.
  • Every student at the selected schools is asked
    about the time limits.
  • The students interviewed would constitute a
    cluster sample.

13
Average Number of Units in Durham Apartment
Buildings
14
Take Caution
  • Undercoverage occurs when some groups are left
    out of the sample selection process.
  • Household surveys miss the homeless, inmates, and
    students in dormitories.
  • Telephone polls miss the 8 of homes without
    residential lines.
  • Nonresponse occurs when a selected individual
    cant be contacted or does not cooperate.

15
More Caution
  • Examples of Response Bias
  • Respondents may lie if asked about illegal or
    unpopular behavior.
  • In a recent poll, 72 said they voted when just
    56 actually did vote.
  • An interviewers race or gender may influence
    responses regarding racism or sexism.
  • Faulty memories
  • Telescoping Example Have you visited a
    dentist in the last 6 months? will often elicit
    a Yes from someone who went 8 months ago.

16
More Caution
  • The Wording of Questions is the most important
    influence on the answers given to a sample
    survey.
  • Ex) 1992 Opinion Poll by American Jewish
    Commission
  • Does it seem possible or does it seem impossible
    to you that the Nazi extermination of the Jews
    never happened?
  • 22 responded possible
  • Does it seem possible to you that the Nazi
    extermination of Jews never happened, or do you
    feel certain that it happened?
  • 1 responded possible

17
Before You Trust a Poll
  • Know the
  • Exact questions asked
  • Rate of nonresponse
  • Date and method of the survey
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