Statistics Programs 16–17
File name 32sii-Manual-E-0424
Printed Date : 2003/4/24 Size : 17.7 x 25.2 cm
f
%@)
Resumes program.
2
f
/)
Enters X–value of 2 and calculates
Q(X).
10000
y
)
Multiplies by the population for the
revised estimate.
Example 2:
The mean of a set of test scores is 55. The standard deviation is 15.3.
Assuming that the standard normal curve adequately models the distribution,
what is the probability that a randomly selected student scored 90
?
What is
the score that only 10 percent of the students would be expected to have
surpassed
?
What would he the score that only 20 percent of the students
would have failed to achieve
?
Keys: Display: Description:
W
S
@)
Starts the initialization routine.
55
f
@)
Stores 55 for the mean.
15.3
f
)
Stores 15.3 for the standard
deviation.
W
D
%@
value
Starts the distribution program and
prompts for X.
90
f
/)
Enters 90 for X and calculates
Q(X).
Thus, we would expect that only about 1 percent of the students would do
better than score 90.
Keys: Display: Description:
W
I
@)
Starts the inverse routine.
0.01
f
%/)
Stores 0.1 (10 percent) in Q(X)
and calculates X.
f
@)
Resumes the inverse routine.
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