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ScotlandGeography

Geographical Data Handling

6 dot points across 6 inquiry questions. Click any dot point for a focused answer with worked past exam questions where available.

How do you use chi-squared, linear regression and nearest neighbour analysis in Advanced Higher Geography?

Inferential techniques: chi-squared analysis for association, linear regression for the relationship between two variables, and nearest neighbour analysis for settlement or point patterns.
How to use three inferential techniques in SQA Advanced Higher Geography: chi-squared analysis to test association between categories, linear regression to model the relationship between two variables, and nearest neighbour analysis to measure how clustered or dispersed a point pattern is.
14 min answer →

What descriptive statistics are examinable in Advanced Higher Geography?

Descriptive statistics: measures of central tendency (mean, median, mode) and measures of dispersion (range, interquartile range, standard deviation, standard error of the mean, coefficient of variation).
The examinable descriptive statistics in SQA Advanced Higher Geography: measures of central tendency (mean, median, mode) and measures of dispersion (range, interquartile range, standard deviation, standard error of the mean, coefficient of variation), and what each reveals about a data set.
14 min answer →

Which graphical techniques are examinable in Advanced Higher Geography data handling?

Graphical presentation of data: bipolar analysis, dispersion diagram, kite diagram, logarithmic graph, polar graph, systems diagrams, scattergraph and triangular graph, and choosing the right graph for the data.
The examinable graphical techniques in SQA Advanced Higher Geography: bipolar analysis, dispersion diagram, kite diagram, logarithmic graph, polar graph, systems diagrams, scattergraph and triangular graph. Covers what each shows and how to choose the right graph for the data.
14 min answer →

What are the data types and sampling methods in Advanced Higher Geography data handling?

Handling data types and sampling: distinguishing nominal, ordinal and interval data, and choosing random, regular or stratified sampling, so that the right presentation and statistical test can be selected.
How to handle data types and sampling in SQA Advanced Higher Geography data handling: distinguishing nominal, ordinal and interval data and choosing random, regular or stratified sampling, so the correct graph and statistical test can be selected for the data.
13 min answer →

Which mapping and map-based diagram techniques are examinable in Advanced Higher Geography?

Mapping and map-based diagrams: annotated overlay, choropleth map, cross section, dot map, flow line map, isoline map, proportional symbols, sphere of influence map and transect, and choosing the right one for the data.
The examinable mapping and map-based diagram techniques in SQA Advanced Higher Geography: annotated overlay, choropleth, cross section, dot map, flow line, isoline, proportional symbols, sphere of influence and transect. Covers what each shows and how to choose the right one.
14 min answer →

How do you use Spearman's rank and Pearson's correlation in Advanced Higher Geography?

Correlation tests: Spearman's rank correlation for ranked data and Pearson's product moment correlation coefficient for interval data, interpreting the coefficient and its significance.
How to use the two correlation tests in SQA Advanced Higher Geography: Spearman's rank correlation coefficient for ranked data and Pearson's product moment correlation coefficient for interval data, including interpreting the coefficient between minus 1 and plus 1 and judging significance.
14 min answer →