BEES2041 Lecture Notes - Lecture 2: Descriptive Statistics, Log-Normal Distribution

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9 Jun 2018

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Types of data

Sampling can give rise to data

Continuous

-value possible

e.g. height, weight, concentration of chemical, salinity, temperature

Discrete (or categorical)

-data can only take certain values

-e.g. presence/ absence, healthy/ diseased, success/ fail

Describing variation

-Variation in our measurements is best explored graphically

-Descriptive statistics are then used to quantify aspects of variation

Plot raw data : e.g. distribution of marks in a class

Frequency histogram : best way to visualise variation

Frequency Distribution: likelihood of different values

Area under curve gives probabilities

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