Count data is quite often only recorded when at least one event happens (i.e. zero count events are not recorded). For example, the numbers below give the alcohol units consumed by a certain mathematics professor on the last 13 times he went out drinking: 1 6 3 2 1 3 3 9 3 2 1 1 2

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Author:Amos Gilat
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Chapter1: Starting With Matlab
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1. Modelling non-zero count data
Count data is quite often only recorded when at least one event happens (i.e.
zero count events are not recorded). For example, the numbers below give
the alcohol units consumed by a certain mathematics professor on the last 13
times he went out drinking:
163 21 3 39 3 2 1 1 2
a) Identify the lower quartile, the median, and the upper quartile in this
sample [See Sec 1.3.3 of the notes: the sample p-quantile is X(4)
where k = p(n–1)+1];
b) Using a calculator, calculate the sample mean and variance of this
data. How much does the value of 9 in this small sample contribute to
the sample variance?
Transcribed Image Text:1. Modelling non-zero count data Count data is quite often only recorded when at least one event happens (i.e. zero count events are not recorded). For example, the numbers below give the alcohol units consumed by a certain mathematics professor on the last 13 times he went out drinking: 163 21 3 39 3 2 1 1 2 a) Identify the lower quartile, the median, and the upper quartile in this sample [See Sec 1.3.3 of the notes: the sample p-quantile is X(4) where k = p(n–1)+1]; b) Using a calculator, calculate the sample mean and variance of this data. How much does the value of 9 in this small sample contribute to the sample variance?
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