26134 Business Statistics
Autumn 2017
Tutorial 3: Probability Tables
and Contingency Analysis
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B MathFin (Hons)
M Stat (UNSW)
PhD (UTS)
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𝑠
𝐶𝑉 = ∗ 100
𝑥
4
Presenting Data Graphically
Categorical Data
Numerical Data
Bar Charts
Pie Charts
Histogram
Scatterplots
to depict frequencies
to depict proportions
one numerical variable
relationship between two
numerical variables
5
In statistics we usually want to statistically analyse a population but collecting data
for the whole population is usually impractical, expensive and unavailable. That is
why we collect samples from the population (sampling) and make conclusions about
the population parameters using the statistics of the sample (inference) with some
level of accuracy (confidence level).
A population is a collection of all possible individuals, objects, or measurements of
interest. A sample is a subset of the population of interest.
𝑃(𝐴⋂𝐵)
𝑃(𝐴)
𝑃(𝐴⋂ 𝐵)
𝑃 𝐴𝐵 =
𝑃(𝐵)
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