false
You can't do this without knowing the distribution of scores.
0 This may not make sense, but it takes a concept known as z-scores into account, which basically standardizes everything.
-1.28
When putting the scores in, you use the normal distribution graph, which is the best start.
false
The mean of a distribution of scores is the average.
3
True or False, One major advantage of transforming X values into z-scores is that the z-scores always form a normal distribution
2
The transformation always creates a normal shaped distribution.
nothing.
You can't do this without knowing the distribution of scores.
The differences in test scores, or predictions from those scores, between two or more subgroups of the population that are matched on the underlying construct being measured.
Research has shown that there are persistent differences in IQ test scores across different racial and ethnic groups in the US, with some groups consistently scoring higher or lower on average than others. However, it is important to note that while there may be differences in average scores, individual differences within each group are greater than differences between groups.
They are said to be Normally distributed.
The distribution is skewed to the right.