Lesson: Standard Deviation and Standard Scores

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Assignment 9: Standard Deviation and Standard Scores
Psych 6250
Spring, 2010
Lesson: Standard Deviation and Standard Scores
1. The variance of some sample equals 64, the standard deviation of the sample=_____.
2. One study of the heights of trees in a forest used inches as the measure of height,
another study of the very same trees used feet as the measure of height. Would the two
studies arrive at (identical/different) values for the standard deviation? Circle one.
3. The _________ __________ theorem implies that if scores are the result of the sum
(or the mean) of several independent, non-normal, measures, then the distribution of
those scores will likely be at least roughly normally distributed.
4. The greater the number of measures that are summed to create a score, the
(more/less) likely the scores will be normally distributed. (select one)
5. The (smaller/larger) the variability in the population the more likely it is to get a nonrepresentative sample (select one).
6. What percent of a normal curve falls in the designated area of Figure 1? ______
7. What percent of a normal curve falls in the designated area of Figure 2? ______
8. What percent of a normal curve falls in the designated area of Figure 3? ______
9. What percent of a normal curve falls in the designated area of Figure 4? ______
Figure 1
Figure 2
Figure 3
Figure 4
10. For all normal curves approximately _______ % of the scores fall within 1 standard
deviation of the mean (round to the nearest percent).
11. For all normal curves approximately _______ % of the scores fall within 2 standard
deviations of the mean (round to the nearest percent).
12. For all normal curves over _______ % of the scores fall within 3 standard deviations
of the mean (round to the nearest percent).
13. If a population is normally distributed, with μ=150 and σ=10, we know that
approximately _____% of the scores fall between 130 and 170.
14. If a population is normally distributed, with μ=150 and σ=10, we know that over
____ % of the scores fall between 120 and 180.
15. If a population is normally distributed, with μ=150 and σ=10, we know that
approximately ____% of the scores fall between 140 and 160.
16. Estimate the standard deviation of the
following curve (you will be given some leeway
in grading your answer)._________
17. Estimate the standard deviation of the
following curve (you will be given some leeway
in grading your answer)._________
18. The score that reflects how many standard deviations above or below the mean a
particular score falls is called the _________ __________
19. Look at the graph available through
the image button. Estimate (by looking at
the graph) the standard score for a score of
60 in that population.________
20. Using the formula, compute the exact
value of the standard score for a score of 60 in the population above.______
Timmy comes home from school with grades from exams in the following subjects.
Math Y=145, z= -1.89
English Y=32, z= 2.5
Geography Y=10, z= 0.2
21. In which class did he do very well compared to other students in the
class?__________
22. In which class did he do very poorly compared to other students in the class?
__________
23. In which class did he do about average compared to other students in the class?
__________
For the following questions please do not round your answers, copy the answer given by the
Normal Distribution Tool to the full number of decimal places it provides.
24. In a population that is normally distributed, what PROPORTION of the scores will
fall between z=0 and z= -2.22? __________
25. In a population that is normally distributed, what PERCENT of the scores will fall
between z=0 and z= -2.22? This question is just to make sure you can go from proportion
to percent._________
26. In a population that is normally distributed, what proportion of the scores will fall
within 2.22 standard deviations of the mean (i.e. between z=-2.22 and z= 2.22)?_____
27. In a population that is normally distributed, what proportion of the scores will fall
2.22 standard deviations or more away from the mean (in both directions)? _______
28. In a population that is normally distributed with a mean of 66 and a standard
deviation of 5, what proportion of the scores will fall between the mean and 7 above the
mean? ________
29. In a population that is normally distributed with a mean of 66 and a standard
deviation of 5, what proportion of the scores will be at least 7 above the mean (i.e.
Y≥73)? ______
30. In a population that is normally distributed with a mean of 66 and a standard
deviation of 5, what proportion of the scores will be at least 7 away from the mean in
either direction (i.e. Y<= 59 or Y>=73)? _______
SPSS
In SPSS open up the data file we used for the previous assignment on the ages of a
sample of CEO's from small companies ('age.sav'). Go to Graphs>>Legacy Dialogs (or
the graph menu of your choice) and have SPSS display a histogram of the data (you
learned how to get SPSS to do histograms in an earlier assignment). Just for practice, and
to help you make sure you understand how to do this, guess the standard deviation of that
curve just by looking at it. The actual value of the standard deviation is given next to the
histogram, see if your guess was within 2 or 3 of the correct answer. Note, you are
guessing the standard deviation of what is presented in the histogram (i.e. the sample)
while SPSS is giving you the estimate of the standard deviation of the population (which
would be tad larger).
Now, we want SPSS to transform all of our raw Y scores into standard scores. In which
menu do you think we could find that function? Why, in the transform menu of course...
not. It's not there. How about the Data>>Recode menu? Nope. Don't ask me why, but to
get SPSS to recode our data as standard scores we need to go to the
Analyze>>Descriptive Statistics>>Descriptives and click on the 'Save standardized
values as variables' box....do that. Now look at the data window to see that the ages have
been turned into standard scores. Sort the variables by Z scores ascending, you learned
how to sort data in an earlier assignment, and you will see that this also sorts them by
age, which should make sense.
31. What is the standard score for the CEO who was 38 years old? (you can follow our
normal rounding rules)___________. Tying back to the lecture, a score of 38 is roughly
one and a half standard deviations below the mean.
32. Have SPSS compute the mean of the z scores____________
33. Have SPSS estimate the standard deviation of the population of z scores________
(remember this is what SPSS gives you when it says 'Std. Deviation').
It is worthy to note that the answers to 32 and 33 will always be those values when you
compute the mean and standard deviation of a set of scores z scores computes from a set
of raw scores. To see why this makes sense (optional) try computing the z score of a z
score of 1 (plugging in the z score, the mean of the z scores, and the standard deviation of
the z scores into the z score formula).
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