{"id":6029,"date":"2021-09-27T12:38:05","date_gmt":"2021-09-27T12:38:05","guid":{"rendered":"http:\/\/euseguros.pt\/?p=6029"},"modified":"2021-09-27T13:11:39","modified_gmt":"2021-09-27T13:11:39","slug":"statistical-tests-which-one-should-you-choose","status":"publish","type":"post","link":"https:\/\/euseguros.pt\/en\/statistical-tests-which-one-should-you-choose\/","title":{"rendered":"Statistical tests. Which one should you choose?"},"content":{"rendered":"

[et_pb_section fb_built=”1″ _builder_version=”4.4.3″][et_pb_row _builder_version=”4.4.3″][et_pb_column type=”4_4″ _builder_version=”4.4.3″][et_pb_text _builder_version=”4.4.3″]<\/p>\n

This is the framework to choose the right statistical test:<\/p>\n

1 – Choose the type of data<\/strong><\/span><\/h3>\n

Statistical variables can be classified as either measurable (continuous) or categorical(nominal or ordinal).<\/p>\n

Categorical variables<\/strong> – these variables are qualitative-oriented.<\/p>\n

1. Nominal<\/strong> – a nominal variable in relation to its group doesn’t have a rank. A good example is choosing your favorite color. Any color is a preference and does not hold a higher rank than other colors. Blue is the same as red.<\/p>\n

2. Ordinal<\/strong> – an ordinal variable in relation to its group has a rank. A good example is the difference between a Ph.D., an MSc to a BSc all the way down to no formal education. So Ph.D. would rank 1st and no education would rank last.<\/p>\n

Measurable variables<\/strong> – these variables are quantitative-oriented.<\/p>\n

1. Interval<\/strong> – These include 0 value but not absolute. A good example is a Celsius scale vs a Fahrenheit scale. The scale is different and the 0 value is different as well.<\/p>\n

2. Ratio<\/strong> –\u00a0 Here the absolute 0 is included. The Kelvin scale is a good example. It uses an absolute 0.<\/p>\n

2 – How many Samples<\/strong><\/span><\/h3>\n

There are 3 options here:<\/p>\n

1. One Sample<\/p>\n

2. Two Samples<\/p>\n

3. One Sample – two measurements (it always involves a table)<\/p>\n

[\/et_pb_text][et_pb_image src=”http:\/\/euseguros.pt\/wp-content\/uploads\/2021\/09\/Add-a-heading.png” align=”center” _builder_version=”4.4.3″][\/et_pb_image][et_pb_text _builder_version=”4.4.3″]<\/p>\n

3 – What is the Purpose?<\/strong><\/span><\/h3>\n

Here, you check the dotted boxes for the answer.<\/p>\n

1. The top box (L-shaped) has the purpose of testing against a value. It has 3 possible tests:<\/p>\n

If it is one sample it can be a test for a proportion or a test for a mean. You make your decision based on the type of data.<\/p>\n

a) If it is a nominal variable it is a test for a proportion.<\/p>\n

b) If it is an interval\/ratio type of data then it is a test for a mean.<\/p>\n

c) If it is one sample but with two measurements, then it is a difference of two means (paired).<\/p>\n

2. The middlebox has the purpose of comparing two statistics.<\/p>\n

a) If it is a nominal type of data the test is a difference of two proportions.<\/p>\n

b) If it is an interval\/ratio type of data then it is a difference of two means (independent samples).<\/p>\n

3. The third(bottom) has the purpose of looking for a relationship. It has 2 options as well:<\/p>\n

a) If it is a nominal type of data, it is the Chi-Squared test for independence.<\/p>\n

b) If it is an interval\/ratio type of data, then it is a regressions analysis.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>","protected":false},"excerpt":{"rendered":"

Statistical tests. Which one should you choose? In this article, we will go through a framework to choose between statistical tests.<\/p>","protected":false},"author":1,"featured_media":6034,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[105],"tags":[124,127,138,131,129,126,135,139,132,133,134,136,130,123,128,125,137],"yoast_head":"\nStatistical tests. Which one should you choose? - EU Seguros<\/title>\n<meta name=\"description\" content=\"Statistical tests. Which one should you choose? 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