Crash Course on Basic Statistics - Massachusetts Institute of ...
Crash Course on Basic Statistics
Marina Wahl, marina.w4hl@
University of New York at Stony Brook
November 6, 2013
2
Contents
1 Basic Probability
1.1 Basic Definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
1.2 Probability of Events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
1.3 Bayes¡¯ Theorem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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2 Basic Definitions
2.1 Types of Data . . . . . . .
2.2 Errors . . . . . . . . . . .
2.3 Reliability . . . . . . . . .
2.4 Validity . . . . . . . . . .
2.5 Probability Distributions .
2.6 Population and Samples .
2.7 Bias . . . . . . . . . . . .
2.8 Questions on Samples . .
2.9 Central Tendency . . . . .
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3 The Normal Distribution
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4 The Binomial Distribution
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5 Confidence Intervals
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6 Hypothesis Testing
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7 The t-Test
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8 Regression
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9 Logistic Regression
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10 Other Topics
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11 Some Related Questions
29
3
4
CONTENTS
Chapter 1
Basic Probability
1.1
Basic Definitions
? The probability of an event is always between
0 and 1.
Trials
? The probability of an event and its complement
is always 1.
? Probability is concerned with the outcome of trials.
Several Events
? Trials are also called experiments or observations (multiple trials).
? The union of several simple events creates a
compound event that occurs if one or more
of the events occur.
? Trials refers to an event whose outcome is unknown.
? The intersection of two or more simple events
creates a compound event that occurs only if
all the simple events occurs.
Sample Space (S)
? Set of all possible elementary outcomes of
a trial.
? If events cannot occur together, they are mutually exclusive.
? If the trial consists of flipping a coin twice, the
sample space is S = (h, h), (h, t), (t, h), (t, t).
? If two trials are independent, the outcome of
one trial does not influence the outcome of another.
? The probability of the sample space is always
1.
Permutations
Events (E)
? Permutations are all the possible ways elements in a set can be arranged, where the order
is important.
? An event is the specification of the outcome of
a trial.
? An event can consist of a single outcome or a
set of outcomes.
? The number of permutations of subsets of size k
drawn from a set of size n is given by:
? The complement of an event is everything in
the sample space that is not that event (not E
or ¡« E).
nP k =
5
n!
(n ? k)!
................
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