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:

WS

@)

Starts the initialization routine.

55 f

@)

Stores 55 for the mean.

15.3 f

)

Stores 15.3 for the standard

 

 

deviation.

WD

%@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:

WI

@)

Starts the inverse routine.

0.01 f

%/) 

Stores 0.1 (10 percent) in Q(X)

 

 

and calculates X.

f

@)

Resumes the inverse routine.

Statistics Programs 16–17

File name 32sii-Manual-E-0424

 

Printed Date : 2003/4/24

Size : 17.7 x 25.2 cm