# Statistical Tests

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• Created by: mollyb
• Created on: 13-06-13 15:19
• Statistics
• Mean
• add the quantities together and divide by the number of quantities
• Most useful but requires calculation
• Distorted by extreme values and involves calculation
• Median
• the central value when values are put in order
• gives no idea of other values
• Mode
• the value that occurs most frequently
• gives no idea of other values
• Range
• difference between the highest and the lowest
• misleading if their are abnomalies
• Interquartile Range
• difference between the inner half around the mean
• quick and easy to calculate
• ignores values above and below this
• Standard Deviation
• shows a spread of all values around the mean
• uses a formula and calculation and distorted by extreme values
• larger the S.D the larger the variation
• uses when comparing similar means
• Mann Whitney U
• compares medians and ranks them to see if data sets differ
• Disadvantage: uses a formula and calculation making working out difficult and uses a significance tables
• Tests for a difference and starts by assuming that both sets of data are alike and then establishes whether its is safe to reject assumptions
• Chi Squared
• Difference
• compares observed and expected frequecies
• uses a formula, calculation + significance table
• how do you determine expected frequency?
• Correlation
• compares observed and the frequency expected given a certain hypothesis
• uses a formula, calculation and a significance table
• how do determine expected frequency?
• Spearmans Rank
• measures the strength of a relationship between two sets of ranked data
• uses a formula and calculation
• only uses ranks of data and significance tables
• Skew
• the extent to which the mode and mean differ.
• can be positive or negative and can occur if distributions are not symmetrical
• if the mode is lower that the mean it is said to be negatively skewed and visa versa.
• Kurtosis
• used to show wave length/ amplitude but shows shape
• shows shapes such as wavelength and distributions can be flat or in between.
• Tests for a difference and starts by assuming that both sets of data are alike and then establishes whether its is safe to reject assumptions

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