Title: Statistical Reasoning
1Statistical Reasoning
2Real Estate Statistics
- From Scottsdale Real Estate Report
3What is statistics?
- Statistics is the science of collecting,
organizing, and interpreting data. - Statistics are the data that describe or
summarize something.
4Fundamentals 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.
5PollingReport.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
6Definitions
- 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?
7Statistical 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
8Choosing 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?
9Sampling 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.
10Bias
- 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?
11Types 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
12Experimental 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.
13Placebo 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.
14Case 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.
15Margin 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)
16Should 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
17Should you believe these studies?
- Spend time working on the worksheet
18Statistical 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?
19Frequency 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
20Another way to look at the data
21Quantitative 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.
22Carbon 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.
23Bar 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?
24Pie 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?
25Histogram and Line Charts
Histograms and Line charts are used when the
categories are quantitative.
26Time 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.
28Graphics in the Media
- Multiple bar graphs
- Stack Plots
- Geographical data
- Contour maps
- 3 dimensional data
29Contour Map of Temperature
30Median Age by State
31Cautions about Graphics
- Perceptual distortion
- Watch the scales