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What is a weak negative correlation?
A negative correlation is when you compare 2 sets of data on a line graph (e.g. scores in a French test and scores in an English test), the higher one thing is, the lower the other is (e.g. someone might score 98% on the French test but only 12% on the English test (or visa versa)). A positive correlation is the other way around. A weak correlation is when there is a lot of deviation from the line of best fit (there will always be one with correlations as a line of best fit shows correlations after all) whereas with a strong correlation, there is little deviation.
An individual reported a correlation of 1.25 between form A and From B of an intelligence test From this coefficient what could one conclude?
Nothing
How do you determine if variances are similar?
If the two distributions can be assumed to follow Gaussian (Normal) distributions then Fisher's F-test is the most powerful test. If the data are at least ordinal, then you can use the Kolmogorov-Smirnov two-sample test.
What is an example of weak positive correlation?
An example of weak positive correlation would be the relationship between the amount of time spent studying for a test and the grade achieved. While there may be a slight increase in grades as study time increases, the correlation is not very strong. This means that studying more does not guarantee a significantly higher grade, but there is still a positive trend between the two variables.
When calculating average improvement of students do you take the average of all improvement percentages or do you average all pre-test scores all post-test scores and then calculate the difference?
I was given this formula in college: IND Posttest score - IND pretest score ______________________________ = Improvement Score Highest score for all - IND pretest score
