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D230 Version -2 test questions and answers 2025.
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D230 Version -2 test questions and answers 2025.
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D230 Version #2 testquestions and answers
2025
1. Why are descriptive statistics essential to being able to interpret
assessment data?
Understanding descriptive statistics is essential to being able to interpret
assessment data.
2. Nominal
the weakest scale.
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3. Ordinal
rank students according to their worst to best.
4. Interval
point. A quiz, for example, would yield interval data; John might
earn a score of 10, Sally 8, Rose 6, and Harvey 5. Individuals
,can be ordered according to their scores; in addition, the
distance between scores can be discussed
5. Ratio
considered the most sophisticated scale.
This fourth level of measurement possesses all of the qualities indicated
in the previous three scales in addition to a true zero.
Ratio scales allow all arithmetic operations, including multiplication and
division, and any type of statistical procedure can be used.
6. Mean
the arithmetic average of the scores and is computed by adding all scores
together and dividing by the number of scores. This method is often used
in informal
assessment.
7. Median
middle score in a set of scores; one-half of the scores are higher than the
median score and one-half are lower.
If a set of scores were even, then the two numbers in the middle would be
averaged.
8. Mode
the most common value/number among a set of values, the score that
occurs most
frequently.
9. Range
can be used to describe scatter; it is the distance between the highest and
lowest scores in the distribution
10. Standard deviation
takes each score's relationship to the
mean into account;
the higher the standard deviation, the more variability within a set of
scores.
11. Correlation
measures express the degree of
relationship between two sets of
, scores.
If two measures are highly
correlated, the scores from one
measure can be used to predict
performance on the other.
12. Letter used to represent correlation
correlation coefficient. The Pearson r,
13. Positive correlation
A coefficient of +1.00 indicates a
perfect positive correlation; (When the line is going up)
individuals with the highest scores in the first set of scores also achieved
the highest scores in the second set.
14. Negative correlation
perfect negative correlation is
represented by a coefficient of −1.00; (When the line is going down)
in this case, the persons with the highest scores in the first data set
obtained the lowest scores in the second
15. Strong correlation
+/-.80 to +/-1.00
16. Moderate correlation
+/-.50 to +/-.79
17. Weak correlation
+/-.49 to +/-.01
18. Zero correlation
A coefficient of 0 indicates no
relationship between two sets of
scores.
19. Criterion-referenced
provide a standard against
which student performance can
be compared
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