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There are also two common measures of variability in a set of responses, and they are the semi-interquartile range and the standard deviation. While these two sets of summary measures are measuring the same quantities, they do so in different ways and so are not interchangeable. 1 Location: mean and median The mean of a sample of observations is the arithmetic average, and is obtained by adding up all the numbers and dividing by the number of observations. It is a relatively straightforward calculation and is done automatically on many calculators, spreadsheets and statistical programs.

The statistical modelling analysis tries to take into account the most important effects and relationships with a view to making sure that the comparisons are as equitable as possible. These are often known as adjusted comparisons, and the purpose of statistical modelling here is to make comparisons of like with like so that there is no bias involved in the comparison. Chapter: graphs, relationships, correlation, linear regression, estimation. 6 Common features of statistical studies: what exactly is Each of these examples has certain common features and these will be discussed throughout the book.

The lines on these graphs are known as regression lines and they can be used to predict the turnover. For example, in a shop with a surface area of 400 square metres we would predict a turnover of around £11000 per week. The last plot is known as a boxplot and shows the association between turnover and whether or not there is a competing supermarket in the neighbourhood. As the box is lower down when there is a competitor, this suggests that the turnover is lower when a competitor is close by. All of these observations make economic sense, and by combining all the information the company hoped to build a good prediction model which would help them in their decision-making.

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Bayesian contour detection in a time series of ultrasound images through dynamic deformable template models by Hansen M.B.

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