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Statistical Reasoning

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Barack Obama 17. Al Gore 14. John Edwards 12. Bill Richardson 3. Joe Biden 1. Christopher Dodd 1 ... citing social, political, ethical and/or religious facts. ... – PowerPoint PPT presentation

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Title: Statistical Reasoning


1
Statistical Reasoning
2
Real Estate Statistics
  • From Scottsdale Real Estate Report

3
What is statistics?
  • Statistics is the science of collecting,
    organizing, and interpreting data.
  • Statistics are the data that describe or
    summarize something.

4
Fundamentals of Statistics
  • Suppose that you want to know which candidate is
    most popular choice for the upcoming presidential
    election.
  • How might you get some find some data?
  • CNN/Opinion Research Corporation Poll. Oct.
    12-14, 2007. N485 registered voters nationwide
    who are Democrats or independents who lean to the
    Democratic Party. MoE 4.5.

5
PollingReport.com
  • "Please tell me which of the following people you
    would be most likely to support for the
    Democratic nomination for president in the year
    2008 . . . ."
  • 10/12-14/07
  • Hillary Clinton 46
  • Barack Obama 17
  • Al Gore 14
  • John Edwards 12
  • Bill Richardson 3
  • Joe Biden 1
  • Christopher Dodd 1
  • Mike Gravel 1
  • Dennis Kucinich 1
  • Unsure 4

6
Definitions
  • Population - the complete set of people or things
    being studied.
  • What is the population in our political poll?
  • Sample - the subset of the population from which
    your data is obtained.
  • What is the sample in our political poll?
  • Population parameters - the characteristics about
    the population that we want to learn about.
  • What parameters are we interested in with our
    political poll?
  • Sample statistics - raw data consolidated into a
    set of numbers that characterize the data.
  • What sample statistic are given from our poll?

7
Statistical Study
start
1. Identify goals
2. Draw from a population
population
sample
3. Collect raw data and summarize
5. Draw conclusions
4. Make inferences about population
Sample statistics
Population parameters
8
Choosing a sample
  • Want to find a representative sample - one in
    which the sample members match those of the
    population.
  • Sampling methods
  • Simple random sampling - choose in a way that
    every sample of a given size has an equal chance
    of being chosen.
  • Systematic sampling - use a simple system for
    choosing the sample.
  • Convenience sampling - choose a sample based on
    convenience
  • Stratified sampling - use when we are interested
    in the difference between different subgroups
  • How would we find a representative sample for our
    political poll?

9
Sampling Methods
  • Which type of sampling is used in each of these
    cases?
  • You are conducting a survey of students in a
    dormitory. You choose your sample by knocking on
    every 10th door.
  • To survey opinions on a possible property tax
    increase, a research firm randomly draws the
    addresses of 150 homeowners from a public list of
    all homeowners.
  • Agricultural inspectors for Jefferson County
    check the levels of residue from three common
    pesticides on 25 ears of corn from each of the
    104 corn producing farms in the county.
  • Anthropologists determine the average brain size
    of early Neanderthals in Europe by studying
    skulls found at three sites in southern Europe.

10
Bias
  • Bias refers to any problem in the design or
    conduct of a statistical study that tends to
    favor certain results.
  • How might bias be introduced in our political
    poll?

11
Types of studies
  • Observational study - researchers attempt to
    observe or measure characteristics of the sample,
    but do not try to influence these
    characteristics.
  • Experiment - researchers apply a treatment to
    some or all of the sample members, then look to
    see whether the treatment has any effect

12
Experimental studies
  • Suppose you want to test whether high doses of
    vitamin C can help prevent colds. Researches
    must ask some people in the sample to take the
    high dose of vitamin C - we call this the
    treatment group, and we compare to a control
    group who does not take vitamin C
  • Both the treatment group and the control group
    must be chosen randomly and must be alike in all
    respects except for the treatment.

13
Placebo effect and Blinding
  • What is the Placebo effect?
  • A placebo lacks the active ingredients of a
    treatment being tested in a study, but is
    identical in appearance to the treatment.
    Participants dont know if they are getting the
    treatment or not.
  • In statistical terms, keeping people in the dark
    about whether they are receiving the treatment is
    called blinding.
  • Single blind participants dont know if they
    are receiving the treatment or the placebo.
  • Double blind the researchers dont know who is
    getting the treatment and who is getting the
    placebo.

14
Case control studies
  • Observational studies that look like experiments
    because the sample naturally divides into groups.
  • Consider that you want to study how alcohol
    consumed during pregnancy can be harmful to the
    baby. Obviously you couldnt set this up as an
    experiment since you know that alcohol can cause
    harm, instead you might look for participants
    who engage in the behavior under study and they
    form cases. The participants who dont engage in
    the behavior are the control group.

15
Margin of error
  • Surveys and opinion polls usually include a
    margin of error.
  • The margin of error is used to describe the
    confidence interval that is likely to include the
    true population parameter. The confidence
    interval is
  • (sample statistic - margin of error) to (sample
    statistic margin of error)

16
Should you believe a statistical study?
  • 8 guidelines
  • Identify goal, population, type of study
  • Consider the source
  • Look for bias in the sample
  • Look for problems in defining or measuring the
    variables of interest
  • Watch out for confounding variables
  • Consider the setting and the wording in surveys
  • Check that results are presented fairly
  • Stand back and consider the conclusions

17
Should you believe these studies?
  • Spend time working on the worksheet

18
Statistical Tables and Graphs
  • Think about the grade distribution from our last
    exam. How was the data presented?
  • Suppose the grades on the exam were
  • 57, 63, 94, 68, 88, 86, 73, 91, 83, 84, 79, 59,
    72, 75, 96, 81, 76, 89, 75, 78
  • What are some things you could do with this data
    to get a better feel for how your score compares
    to the rest of the class?

19
Frequency Table
  • A frequency table has two columns
  • The first column lists all the categories of data
  • The second column lists the frequency of each
    category

20
Another way to look at the data
21
Quantitative vs. Qualitative data
  • Suppose that the tests were given a letter grade
    instead of an score - this is called qualitative
    data because it describes the quality of the data
    (Aexcellent, Bgood, Csatisfactory,)
  • The score is quantitative data. It is a measure
    of what percentage of the work was correct.
    Quantitative data is always in the form of a
    number, but data in the form of numbers is not
    always quantitative.
  • For example, film reviewers might rate a new
    movie on a scale of 1 to 5 stars. This is a
    number rating, but the numbers represent
    subjective opinions.

22
Carbon Dioxide Emissions
  • Carbon dioxide is released into the atmosphere
    primarily by the combustion of fossil fuels (oil,
    coal, natural gas). The following table lists
    the 8 countries that emit the carbon dioxide each
    year.

23
Bar Graphs
A bar graph with the bars in descending order is
often called a Pareto chart.
  • Why might you want to display the bars in
    descending order?
  • Why are the countries in a different order in the
    two charts displayed here?

24
Pie Chart
-What stands out on the pie chart?
-Why might you choose to represent the data in a
pie chart rather than a bar graph?
25
Histogram and Line Charts
Histograms and Line charts are used when the
categories are quantitative.
26
Time series diagram
A time series diagram is a line chart where the
horizontal axis is time.
27
  • The following data shows how a state lottery
    distributed its 2.1 million proceeds in the year
    2000.
  • Draw two graphs. One should support the argument
    that too much money from the state lottery went
    toward education. The other should support the
    counter argument, too little money from the state
    lottery went toward education.
  • Choose a side to the above argument, either pro
    or con. Write a paragraph defending your
    argument, citing social, political, ethical
    and/or religious facts.

28
Graphics in the Media
  • Multiple bar graphs
  • Stack Plots
  • Geographical data
  • Contour maps
  • 3 dimensional data

29
Contour Map of Temperature
30
Median Age by State
31
Cautions about Graphics
  • Perceptual distortion
  • Watch the scales
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