Online
Assignment - Z score Exercises
A research polls a sample of cold sufferers and
askes
them to estimate the number of hours of physical discomfort caused by
their
cold. Their estimates approximate a normal curve with a mean of 83
hours
and a standard deviation of 20 hours.
- What is the estimated number of hours for the
shortest-suffering
5 percent?
- What proportion of sufferers estimated that
their
colds lasted
longer than 2 days?
- What propostion suffered for fewer than 61
hours?
- What is the estimate number of hours for the
extreme 1 percent
in either direction from the mean?
- What proportion suffered for between one and
three
days?
- What is the estimated number of hours for the
shortest-suffering
10 percent?
- What is the estimated number of hours for the
middle-suffering
95 percent?
- What proportion suffered for between two and
four
days?
Admission to a state university depends partially on
the
applicants high school GPA. Assume that the applicants GPAs approximate
a normal curve with a mean of 3.2 and a standard deviation of .30.
- If applicants with GPAs of 3.50 or above are
automatically
admitted, what proportion of applicants will be in this category?
- If applicants with GPAs of 2.50 or below are
automatically
denied admission, what proportion of applicants will be in this
category?
- A special honors program is open to all
applicants
with GPAs
of 3.75 or better. What proportion of applicants are eligible?
- If the special honors program is limited to
students whose
GPAs rank in the upper 10 percent, what GPA will be required for
admission
to this program?
Answers
Try using the zscore calculator at http://www.duxbury.com/authors/mcclellandg/tiein/howell/zcalc.htm
Z
score problems on the web
Click
here for James M. Hillenbrand's (Western Michigan
University) problems.
Another helpful z-score quiz is here.
Here
is a set of problems from Memorial University and here
are the answers.
Several of these problems make reference to percentiles. If
you are unfamiliar with the term, here's a definition:
Percentiles rank the position of an
individual by indicating what percent of the reference population the
individual would equal or exceed. For example, on the weight-for-age
growth charts, a 5-year-old girl whose weight is at the 25th
percentile, weighs the same or more than 25 percent of the reference
population of 5-year-old girls, and weighs less than 75 percent of the
5-year-old girls in the reference population.