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68% of the scores that lie on the normal curve are - 🧠 ANSWER
✔✔between 1 SD above and 1 SD below the mean
A z score designates how many standard deviations the raw score is above
or below the mean. T/F - 🧠 ANSWER ✔✔true
A distribution of test scores is positively skewed. Each of the scores is
converted to a z score. The distribution of z scores is - 🧠 ANSWER
✔✔positively skewed
Given the following data (4,5,7,9,12,15,18,20), each score is converted to a
z score and then the standard deviation of the z scores are computed. That
value is - 🧠 ANSWER ✔✔1
A z score is - 🧠 ANSWER ✔✔dependent upon the mean for computation
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,Does the z transformation result in a score having the same units of
measurement as the raw score? - 🧠 ANSWER ✔✔No. The z scores are
standard scores that make it easier to compare data
z scores - 🧠 ANSWER ✔✔have the same shape as the set of raw scores
from which they were transformed
the mean of z scores is equal to 0
the standard deviation of z scores is equal to 1
the z value for raw scores at the mean = - 🧠 ANSWER ✔✔0
correlation - 🧠 ANSWER ✔✔highest correlation = +/- 1
strong correlation = .80+
medium correlation = .60
weak correlation = .40
no correlation = .00
scatter plot - 🧠 ANSWER ✔✔a graph of paired x and y values
can be both linear and curvilinear
in a positive relationship - 🧠 ANSWER ✔✔X increases, Y increases
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, X decreases, Y decreases
When is it preferable to use the Spearman rank order correlation? - 🧠
ANSWER ✔✔when the data are of ordinal scaling
Qualities of Pearson r - 🧠 ANSWER ✔✔X is cause of Y
the correlation is an accident of sampling
Y is the cause of X
a 3rd variable is the cause of the correlation between X and Y
a correlation between college entrance exam grades and scholastic
achievement was found to be -1.08. On the basis of this, you would
conclude that - 🧠 ANSWER ✔✔it was calculated incorrectly
Linear relationships - 🧠 ANSWER ✔✔although all points many not fall on
the line, a straight line best categorizes the relationship
a linear relationship can be +/-
With an increase in the value for the standard error of estimate, our
confidence in the prediction of Y given x - 🧠 ANSWER ✔✔decreases
the assumption that all points are distributed normally around the
regression line is - 🧠 ANSWER ✔✔normality
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