Faculty of SITE Northern Territory University Flora & Fauna Survey Techniques
   
what is flora and fauna survey?
why survey?
factors to consider
preparing to sample
flora survey techniques
fauna survey techniques
analysing data
initial considerations
types of statistical analysis
presenting data
 

Descriptive statistics


Descriptive statistics can be very useful in presenting and condensing large amounts of data for preliminary inspection and basic interpretation. They tend to describe measures of central tendency (e.g. mean, median) and variability of the data (e.g. variance, standard deviation, standard error). They are the simplest form of statistics and aid in describing and summarising overall outcomes and presenting data.

The most useful descriptive statistics for flora and fauna surveys are listed below:

  • Frequency distribution - the number of times each value of that particular variable occurs.
  • Median - the value halfway through the ordered data set. Half the data values lie above the median, and half below (i.e. it is the centre of the data distribution).
  • Mean (average) - the arithmetic middle point of all observations. It is different to the median.
  • Variance - a measure of the spread or dispersion of observations about the mean.
  • Standard deviation - a measure of the spread or dispersion of observations about the mean. It is the square root of the variance.
  • Standard error - another measure of the spread or dispersion of observations about the mean. It is the standard deviation over the population sample size.

It is common to present these types of data using graphs or tables.

back to "Types of statistical analysis"

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