Statistics Tests and Answers
Statistics Test
Pearson’s correlation test
Correlation is a technique for investigating the relationship between two quantitative, continuous variables, for example, age and blood pressure. Pearson's correlation coefficient (r) is a measure of the strength of the association between the two variables. The nearer the scatter of points is to a straight line, the higher the strength of association between the variables. Also, it does not matter what measurement units are used (URL1)
Spearman’s rank order correlation coefficient
Spearman's rank correlation coefficient allows you to identify whether two variables relate in a monotonic function
In order to do this test you should then rank the two variable results that you have collected into order i.e lowest to highest mark , these are then marked on to a chart to see if there is a correlation , if there is as one increases you should see that so does the other ..
URL 1- http://hsc.uwe.ac.uk/dataanalysis/quantinfasspear.as
Sign Test:
Chi-square test: The Chi square test assesses the significance of the discrepancy between results that were actually achieved and the results that were actually achieved and the results that were expected.
Wilcoxon Test: This is used when trying to find out if there is a significant difference between two scores that are taken from the same participant. It is used when the data is ordinal (ranked)
Mann-Whitney Test:
A non parametric test to Related t-test: The type of relationship tested involves a difference between two conditions The level of data involved is at the interval level (Such interval data includes us determining through measurements how many intervals on a scale each individual is compared to anyone else. An example of interval data would include an individual’s score on a test for the number of words they can recall correctly). If we look at the difference between two individuals’
Pearson’s correlation test
Correlation is a technique for investigating the relationship between two quantitative, continuous variables, for example, age and blood pressure. Pearson's correlation coefficient (r) is a measure of the strength of the association between the two variables. The nearer the scatter of points is to a straight line, the higher the strength of association between the variables. Also, it does not matter what measurement units are used (URL1)
Spearman’s rank order correlation coefficient
Spearman's rank correlation coefficient allows you to identify whether two variables relate in a monotonic function
In order to do this test you should then rank the two variable results that you have collected into order i.e lowest to highest mark , these are then marked on to a chart to see if there is a correlation , if there is as one increases you should see that so does the other ..
URL 1- http://hsc.uwe.ac.uk/dataanalysis/quantinfasspear.as
Sign Test:
Chi-square test: The Chi square test assesses the significance of the discrepancy between results that were actually achieved and the results that were actually achieved and the results that were expected.
Wilcoxon Test: This is used when trying to find out if there is a significant difference between two scores that are taken from the same participant. It is used when the data is ordinal (ranked)
Mann-Whitney Test:
A non parametric test to Related t-test: The type of relationship tested involves a difference between two conditions The level of data involved is at the interval level (Such interval data includes us determining through measurements how many intervals on a scale each individual is compared to anyone else. An example of interval data would include an individual’s score on a test for the number of words they can recall correctly). If we look at the difference between two individuals’