STAT213
Midterm practice questions
Question
1
1200 people
were asked how many charitable donations they made last year. This frequency
table summarizes the results:
|
Class |
Frequency |
% |
Cum. % |
|
1
to 2 |
862 |
71.83% |
71.83% |
|
3
to 5 |
279 |
23.25% |
95.08% |
|
6
to 10 |
54 |
4.50% |
99.58% |
|
11
to 30 |
5 |
0.42% |
100.00% |
a)
What
percentage made fewer than 6 donations? (95.08%)
b)
What
percentage made more than 2 donations? (28.17%)
c)
In
which class would you find the median? (1 to 2)
d)
Compute
the group mean and group standard deviation. (mean = 2.4529; std. dev. =
1.9884)
Question
2
A survey
had the following results:
75% of
those who read The Globe & Mail have annual household incomes of at least
$60,000.
12% of the
respondents read The Globe & Mail.
16.7% of
the respondents have annual household incomes of at least $60,000.
a)
What
percentage of the respondents either read The Globe &
Mail or have annual household incomes of at least $60,000? (19.7%)
b)
What
percentage of those whose annual household income is under $60,000 do not read The Globe & Mail? (96.4%)
c)
Does
reading the Globe & Mail depend on the annual household income? (yes it
does)
Question
3
A study of
2000 individuals was conducted to determine if a link exists between a person’s
educational level and frequency of gambling. These were the results:
|
|
Less
than high school |
Completed
high school |
Some
post secondary |
Completed
post secondary |
Total |
|
Low |
24 |
278 |
442 |
249 |
993 |
|
Moderate |
54 |
375 |
214 |
133 |
776 |
|
High |
62 |
128 |
16 |
25 |
231 |
|
Total |
140 |
781 |
672 |
407 |
2000 |
a)
What
percentage of the individuals have at least some
post-secondary education? (53.95%)
b)
What
percentage of the individuals gamble at either a low or moderate level?
(88.45%)
c)
Compute
the percentage in each educational group that has a high level of gambling.
Which educational group has the greatest likelihood of having individuals at a
high level of gambling? Identify any trends as we progress from the lowest
educational level to the highest. (see the key)
d)
For
each gambling category, compute the percentage of individuals who have at least
some post-secondary education. Which gambling category has the greatest
percentage of those with at least some post-secondary education? Are there any
noticeable trends? (see the key)
Question
4
A train has
9 passengers. They have 8 stations to choose from. What is the probability that
4 choose one station, 2 choose another station and 3 choose three separate
stations? (6.31%)
Question
5
Given this data set:
|
150.53 |
157.64 |
168.47 |
143.14 |
143.8 |
|
161.42 |
138.97 |
156.56 |
147.09 |
|
|
132.92 |
138.94 |
159.53 |
142.62 |
|
a)
Which
way is the data skewed? What is the degree of skewness?
(cs = 0.64; slightly skewed right)
b)
Does
the data contain any outliers? (no)
Question
6
A vacation
survey broke people into 3 income groups. The survey also asked if they took a
trip on vacation last year and, if they did, if they traveled overseas. These
were the results:
|
% in income group |
% who traveled |
% who traveled overseas |
|
|
High |
13% |
88% |
52% |
|
Middle |
71% |
64% |
12% |
|
Low |
16% |
8% |
0% |
a)
What
percentage overall took a trip on vacation last year? (58.16%)
b)
What
percentage overall traveled overseas? (11.4016%)
c)
Of
those who traveled, what percentage traveled overseas? (19.6%)
d)
What
percentage of those who traveled are from the middle
income group? (78.13%)
Question
7
A box has
20 balls: 4 white, 5 black, 8 red and 3 blue. Four balls are chosen.
a)
What
is the probability that at least 2 of the balls are red? (53.46%)
b)
If
at least 2 balls are red, construct the distribution of the number of red
balls. (see key)
Question 8
A deck of cards consists of the numbers 1 through 10, each number being of the colour red, blue, yellow, green or orange for a total of 50 cards. Six cards are chosen.
a) What is the probability the hand of six cards contains two pairs? (19.82%)
b) If the hand of six cards contains exactly 3 fours, what is the probability the hand contains a full house (3 of a kind plus a pair)? (25.37%)
Question
9
In a town,
40% of people watch hockey on TV on average.
a)
If
12 people are randomly selected, what is the probability that no more than 1 of
them watch hockey? (1.96%)
b)
If
8 people are randomly selected, what is the probability that at least 6 of them
watch hockey? (4.99%)
c)
If
9 people are selected, what is the probability that exactly 4 of them watch
hockey?
a)
For
this town of 1200, what is the fewest and most number of people who can be
expected to watch hockey 99.7% of the time? Round to the nearest whole number.
(429 and 531)
Question 10
The
accident rate in a certain industry is 1 accident per 10,000 work hours on
average.
a)
For
50,000 work hours, what is the probability of no more than 1 accident? (4.04%)
b)
For
75,000 work hours, what is the probability of at least 2 accidents? (99.53%)
c)
What
is the most number of accidents to be expected at least 88.89% of the time
based on 75,000 work hours? Round to the nearest whole number. (16)