No. Correlation coefficient is measured from +1 to -1. In addition, if the two sets of exam are exactly same, their correlation coefficient is +1.
Correlation coefficient
true
Adding all the scores and dividing by the number of scores yields the mean or average.
If the distribution is Gaussian (or Normal) use z-scores. If it is Student's t, then use t-scores.
If the standard deviation of 10 scores is zero, then all scores are the same.
1
Correlation coefficient
true
One common example of a correlation method is Pearson's correlation coefficient, which measures the linear relationship between two continuous variables. For instance, researchers might use this method to analyze the correlation between hours studied and exam scores among students. A positive value close to +1 indicates a strong positive correlation, while a value close to -1 indicates a strong negative correlation. This method helps in understanding how changes in one variable may relate to changes in another.
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A negative correlation
Bowling scores would be a positive correlation because the higher the score, the better the game. Golf scores would be negative correlations because the higher the score, the worse you are playing.
These scores are not published comparatively. You can obtain the desired scores on the VCE from the particular institution you are interested in directly.
To obtain 3 credit report scores you can probably go to your bank of record. They will ask you pertenant questions and get an answer for you in a few days.
Correlation coefficient is a statistic that is commonly used in Psychology. It is a type of descriptive statistic that measures direction and strength in variables.
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.
Yes when you dont get enough sleep your scores are greatly affected