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By Michael J. Pidwirny

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This technique is non-parametric or 'distribution-free' in nature. Non-para metric methods are particularly suited to data that are not normally distributed. 49 Setting up the Null Hypothesis This is the first stage of any statistical analysis and states the hypothesis that is to be tested. This is the assumption that will be maintained unless the data provide significant evidence to discredit it. The null hypothesis is denoted symbolically as H0. For our example, the null hypothesis would be: H0 : there is no difference in precipitation levels between urban and adjacent rural areas.

The first meteorological satellite, TIROS-1 (Figure 2e-3), was launched by the United States using an Atlas rocket on April 1, 1960. This early weather satellite used vidicon cameras to scan wide areas of the Earth's surface. Early satellite remote sensors did not use conventional film to produce their images. Instead, the sensors digitally capture the images using a device similar to a television camera. Once captured, this data is then transmitted electronically to receiving stations found on the Earth's surface.

These measurements can be defined as attribute data because they are connected to the plotted earthquake locations in Figure 2f-2. Figure 2f-3 shows the attribute earthquake depth organized into three categories: shallow; intermediate; and deep. This analysis indicates a possible relationship between earthquake depth and spatial location - deep earthquakes do not occur at the mid-oceanic ridges. {PRIVATE}Figure 2f-2: Distribution of earthquake events that have occurred over the last century. 41 {PRIVATE}Figure 2f-3: Earthquake events organized according to depth (yellow (shallow) = surface to 25 kilometers below the surface, red (intermediate) = 26 to 75 kilometers below the surface, and black (deep) = 76 to 660 kilometers below the surface).

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