{"id":773,"date":"2026-03-30T10:55:37","date_gmt":"2026-03-30T10:55:37","guid":{"rendered":"https:\/\/blogs.glowscotland.org.uk\/er\/SNHGeographyWebsite\/?page_id=773"},"modified":"2026-03-30T10:55:37","modified_gmt":"2026-03-30T10:55:37","slug":"week-27","status":"publish","type":"page","link":"https:\/\/blogs.glowscotland.org.uk\/er\/SNHGeographyWebsite\/week-27\/","title":{"rendered":"Week 27"},"content":{"rendered":"
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
Geographical Study<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n
\n
\n

This week we’re back to<\/span>\u00a0inferential statistics<\/span>, looking at Spearman’s Rank Correlation Coefficient. This is another technique to examine the correlation of data, but is simpler than Pearson’s Product. However, it uses ranks instead of the raw data so has some weaknesses too!<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

\n
\n
\n
\n
\n
\n
\n
<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n
\n
<\/div>\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n
\n
<\/div>\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
<\/div>\n
\n
<\/div>\n

Geographical Issues<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

\n
\n
\n
\n
\n
\n
\n

Move on to working on your critical analysis for Source 2 this week.<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n

\n
<\/div>\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n
\n
<\/div>\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
<\/div>\n
\n
<\/div>\n

Exam Practice<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

\n
\n
\n
\n
<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n
\n
\n
\n
\n
\n

Choice of techniques \/ data gathering 2016 – 6 marks – 18 mins<\/span><\/p>\n

Choropleth maps 2018 – 8 marks – 24 mins<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"

Geographical Study This week we’re back to\u00a0inferential statistics, looking at Spearman’s Rank Correlation Coefficient. This is another technique to examine the correlation of data, but is simpler than Pearson’s Product. However, it uses ranks instead of the raw data so has some weaknesses too! Geographical Issues Move on to working on your critical analysis for […]<\/p>\n","protected":false},"author":40142,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-773","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blogs.glowscotland.org.uk\/er\/SNHGeographyWebsite\/wp-json\/wp\/v2\/pages\/773","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.glowscotland.org.uk\/er\/SNHGeographyWebsite\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.glowscotland.org.uk\/er\/SNHGeographyWebsite\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.glowscotland.org.uk\/er\/SNHGeographyWebsite\/wp-json\/wp\/v2\/users\/40142"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.glowscotland.org.uk\/er\/SNHGeographyWebsite\/wp-json\/wp\/v2\/comments?post=773"}],"version-history":[{"count":1,"href":"https:\/\/blogs.glowscotland.org.uk\/er\/SNHGeographyWebsite\/wp-json\/wp\/v2\/pages\/773\/revisions"}],"predecessor-version":[{"id":775,"href":"https:\/\/blogs.glowscotland.org.uk\/er\/SNHGeographyWebsite\/wp-json\/wp\/v2\/pages\/773\/revisions\/775"}],"wp:attachment":[{"href":"https:\/\/blogs.glowscotland.org.uk\/er\/SNHGeographyWebsite\/wp-json\/wp\/v2\/media?parent=773"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}