Series of slides demonstrating the mystical arts of statistics in Geography, chi 2

1. Statistics in Geography Chi squared Test

3. Data needs to be collected so that it can be grouped into classes.

4. A null hypothesis has to be put forward, which is usually that there is no pattern to the data, or that it is distributed randomly.

6. Corrie Orientation Is this distribution random, or significant ? Start by developing null hypothesis: The orientation of corries is random. If this was correct, we would expect there to be how many corries in each category ? Expected E = 52 / 4 = 13 in each. This is obviously not the case, but the test will determine whether the differences are significant. Total number is 52.

7. Formula Formula is below: X2 = Sum of (O-E)2 / E O = observed frequency E = expected frequency Corrie Data is set out as in table below. No O or E value should fall below 5.

9. Need to determine what are called the degrees of freedom.

10. This relates to the size of the sample, and is n-1 = 3.

12. there is some preferred orientation.