Posts Tagged ‘ Descriptive Statistics ’

Applied Statistics Lesson of the Day – The Coefficient of Variation

Applied Statistics Lesson of the Day – The Coefficient of Variation

In my statistics classes, I learned to use the variance or the standard deviation to measure the variability or dispersion of a data set.  However, consider the following 2 hypothetical cases: the standard deviation for the incomes of households in Canada is $2,000 the standard deviation for the incomes of the 5 major banks in Canada […]

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Mathematics and Applied Statistics Lesson of the Day – The Harmonic Mean

Mathematics and Applied Statistics Lesson of the Day – The Harmonic Mean

The harmonic mean, H, for positive real numbers is defined as . This type of mean is useful for measuring the average of rates.  For example, consider a car travelling for 240 kilometres at 2 different speeds: 60 km/hr for 120 km 40 km/hr for another 120 km Then its average speed for this trip […]

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Statistics Lesson and Warning of the Day – Confusion Between the Median and the Average

Statistics Lesson and Warning of the Day – Confusion Between the Median and the Average

Yesterday, I attended an interesting seminar called “Transforming Healthcare through Big Data” at the Providence Health Care Research Institute‘s 2014 Research Day.  The seminar was delivered by Martin Kohn from Jointly Health, and I enjoyed it overall.  However, I noticed a glaring error about basic statistics that needs correction. Martin wanted to highlight the overconfidence that many doctors have […]

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Side-by-Side Box Plots with Patterns From Data Sets Stacked by reshape2 and melt() in R

Side-by-Side Box Plots with Patterns From Data Sets Stacked by reshape2 and melt() in R

Introduction A while ago, one of my co-workers asked me to group box plots by plotting them side-by-side within each group, and he wanted to use patterns rather than colours to distinguish between the box plots within a group; the publication that will display his plots prints in black-and-white only.  I gladly investigated how to […]

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Python: Numerical Descriptions of the Data

March 12, 2014
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Python: Numerical Descriptions of the Data

We are going to explore the basics of Statistics using Python. And we'll go through the following:Importing the data;Apply summary statistics;Other measures of variability (variance and coefficient of variation);Other measures of position (percentile a...

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Exploratory Data Analysis: Quantile-Quantile Plots for New York’s Ozone Pollution Data

Exploratory Data Analysis: Quantile-Quantile Plots for New York’s Ozone Pollution Data

Introduction Continuing my recent series on exploratory data analysis, today’s post focuses on quantile-quantile (Q-Q) plots, which are very useful plots for assessing how closely a data set fits a particular distribution.  I will discuss how Q-Q plots are constructed and use Q-Q plots to assess the distribution of the “Ozone” data from the built-in […]

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C/C++: Frequency Distribution

September 6, 2013
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C/C++: Frequency Distribution

The first 40 raw data of Systolic Blood pressure (in mmHg) of Simplified Biostatistics by Abubakar S. Asaad is utilize in the demonstration below.Output:C Codes: C++ Codes:

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C/C++: Variance, Standard Deviation and Coefficient of Variation

September 4, 2013
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C/C++: Variance, Standard Deviation and Coefficient of Variation

Output: C Codes: C++ Codes:

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C/C++: Median

August 28, 2013
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C/C++: Median

Output:C Codes: C++ Codes:

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C/C++: Mean

August 27, 2013
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C/C++: Mean

Output: C Codes: C++ Codes:

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