Statistics / Mr. Hansen |
Name: ________________________ |
Answers
to Recent Problems from Chapters 1 and 2
|
Note: Odd-numbered
answers are in the back of the book. Remember that all problems require
supporting work. In the case of normal probability computations, a rough
sketch with shading will suffice. |
|
|
1.46 |
Yes; both IQR and s will increase by 5% (i.e., will be
multiplied by 1.05). This is logical, since IQR and s both are in units of dollars (unlike variance, for example,
which is in units of dollars squared). |
1.52 |
Presumably you were able to
generate the several types of graphs requested. Note that the textbook did
not require all of those graphs, only the analysis. From the paired relative
frequency bar graph (number 2 of the 3 types listed in the assignment), one
can see that the younger age group had a significantly higher percentage that
attended or completed college, and a significantly lower percentage that had
only a high school education or less. Interestingly, though, the two age
groups had nearly the same percentage with an advanced degree, from which we
can conclude that the proportion of college-educated old-timers who earned an
advanced degree was higher than the proportion of college-educated people age
25-34 who earned an advanced degree. |
2.38(a) |
Line segment from (0, 0) to
(Ö2, Ö2). |
(b) |
Median = (point at which
areas to left and right both equal .5) = 1 by techniques from Form III
geometry. (A = ½bh for a triangle, A = ½(b1 + b2)h for a
trapezoid. Coming from the left is easier, since you would use the triangle
formula, and by the nature of the problem, b = h. Therefore, let x denote the common value of b and h. Solve the equation A
= ½x2 = .5 to find x, the median.) |
|
Q1 = .707 by
applying triangle area formula. (Set area equal to .25 and solve.) |
|
Q3 = 1.225 by
applying trapezoid area formula. (Set area equal to .25 and solve.) Or, you
may find it somewhat easier to use the triangle formula, again approaching
from the left. (Set area equal to .75 and solve.) |
(c) |
To the left, since the
distribution is skew left. (Using calculus techniques, one can prove that m = 21.5/3 » .943, but doing that is beyond the scope of this
course.) |
(d) |
12.5%, 0% |
2.40 |
Joey outscored 97% of the students
who took the reading test, but he outscored only 72% of the students who took
the math test. Relative to the population of students who took the tests,
Joey did better on reading than on math. |
2.42(a) |
z = 2.054 |
(b) |
z = .772 |
2.44(a) |
15.9% |
(b) |
.13% |
(c) |
2.28% |
(d) |
28.37 |
2.46 |
5.2%, 7.8% |
2.48 |
3.42 or above, 2.58 or below |
2.50 |
Both plots are fairly close
to a “straight line” pattern, though of course your interpretation may
differ. Transcribe the plot and state your opinion. Since a straight line on
the NQP indicates normality, the use of the sample mean (xbar) and sample s.d. (s) to
summarize the data would be justified. |