Q381 Spring 2017 (Dr. Seo) Syllabus
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Indiana University
Q381, Section 30424
Introduction to Biostatistics
Spring 2017
CLASS MEETING INFORMATION
Days/Times:
Location:
Monday and Wednesday 02:30 p.m. - 03:45 p.m.
BH (Ballantine Hall) 238 (maximum

Variability and Graphing Data
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Indiana University Q381 (Dr. Seo)
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Variability
How widely scores are spread?
The description of data is never complete until
some indication of the variability is found
Yearly mean temperature of Anchorage & Honolulu
H

Hypothesis Testing (4)
ANOVA
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Indiana University Q381 (Dr Seo)
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ANOVA (1)
This is a very (
), useful tool and
widely used in research
t-test is for one-sample or two-sample cases
What about more-than-two-sample cases?
You may want to compare blood p

Introduction
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Indiana University Q381 (Dr. Seo)
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What is Statistics?
A collection of theory and methods applied for
the purpose of understanding data
(Descriptive Stats)
used to classify & summarize (organize & describe)
numerical data, e.g., averag

Correlation and Regression
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Indiana University Q381 (Dr. Seo)
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What are correlations?
Sometimes, we are interested in the
relationship between variables
SAT scores and final exam scores in H381
Did most of the students with high SAT scores also
sco

Hypothesis Testing (1)
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Indiana University Q381 (Dr Seo)
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Hypothesis
(
Hypothesis testing
)
Involves making inferences about the nature of the
population on the basis of observations of a sample
Research question guides the creation of a
hypothesis,

Normal Curve and Sampling Distributions
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Indiana University Q381 (Dr. Seo)
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Probability and Normal Curve
# of (possible successes) divided by the total #
of (possible outocmes)
() probability ( )
(probabilities for all possible outcomes) = 1
See T

Hypothesis Testing (2)
Independent samples t-test
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Indiana University Q381 (Dr Seo)
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Two-sample case for the mean
So far, we have dealt with one-sample case for
the mean
Compared a sample mean with a population mean
To determine if the sample is (r

The Chi-Square Test
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Indiana University Q381 (Dr Seo)
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Rationale
We have to deal w/ (
) data
What if you are interested in
Geographical or SES diff. in political preferences
Association b/t drinking and smoking
Categorical, nominal, frequency, e

Hypothesis Testing (3)
Paired samples t-test
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Indiana University Q381 (Dr Seo)
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Paired-samples t-test (1)
The two groups are related each other
Measured twice, e.g., a pretest-posttest situation
Matched samples on some relevant variables
How many d