Refer to the following frequency distribution for
Questions 1, 2, 3, and 4.
The frequency distribution below shows the
distribution for checkout time (in minutes) in UMUC MiniMart between 3:00 PM
and 4:00 PM on a Friday afternoon.
Checkout Time (in minutes)

Frequency

1.0 – 1.9

5

2.0  2.9

3

3.0 – 3.9

7

4.0 – 4.9

3

5.0 – 5.9

2

1.
What percentage of the checkout
times was less than 4 minutes? (5 pts)
1.
Calculate the mean of this frequency
distribution. (10 pts)
3
1.
In what class interval must the
median lie? (You don’t have to find the median) (5 pts)
4. Assume that the smallest observation in this
dataset is 1.2 minutes. Suppose this
observation were
incorrectly recorded as .2 instead of 1.2
minutes. (5 pts)
Will the mean increase, decrease, or remain
the same?
Will the median increase, decrease or remain
the same?
Refer to the following information for Questions 5 and
6
A 6faced die is rolled two times. Let A be the event that the outcome of the
first roll is even. Let B be the event
that the outcome of the second roll is greater than 4.
5. What is
the probability that the outcomes of the second roll is greater than 4, given
that the first roll
is an even number? (10 pts)
6. Are A and
B independent? (5 pts)
Refer to the following data to answer questions 7 and
8.
A random sample of Stat 200 weekly study times in
hours is as follows:
4, 14, 15, 17, 20
7. Find the standard deviation. (10 pts)
8. Are any of
these study times considered unusual in the sense of our textbook? (2.5 pts)
Does this differ with your intuition? (2.5
pts)
Refer to the following situation for Questions 9, 10,
and 11.
The fivenumber summary below shows the grade
distribution of two STAT 200 quizzes.

Minimum

Q1

Median

Q3

Maximum

Quiz 1

12

40

60

95

100

Quiz 2

20

35

50

90

100

For each question, give your answer as one of the
following: (a) Quiz 1; (b) Quiz 2; (c) Both quizzes have the same value requested;
(d) It is impossible to tell using only the given information. (5 pts each)
9. Which quiz
has less interquartile range in grade distribution?
10. Which quiz
has the greater percentage of students with grades 90 and over?
11. Which quiz
has a greater percentage of students with grades less than 60?
12. What is
the probability that a randomly selected senior is in at least one of the two
classes?
(10 pts)
13. If the
student is in the Calculus class, what is the probability the student is also
in the Statistics class?
(10 pts)
14. A random
sample of 225 SAT scores has a mean of 1500. Assume that SAT scores have a
population
standard deviation of 300.
Construct a 95% confidence interval estimate of the mean SAT scores.
(15 pts)
Refer to the following information for Questions 15,
16, and 17.
A box contains 5 chips. The chips are numbered 1 through 5. Otherwise, the chips are identical. From this box, we draw one chip at random, and
record its value. We then put the chip
back in the box. We repeat this process
two more times, making three draws in all from this box.
15. How many
elements are in the sample space of this experiment? (5 pts)
16. What is the
probability that the three numbers drawn are all different? (10 pts)
17. What is
the probability that the three numbers drawn are all odd numbers? (10 pts)
Questions 18
and 19 involve the random variable x with probability distribution given below.
X

2

3

4

5

6

P(x)

0.1

0.2

0.4

0.1

0.2

18. Determine
the expected value of x. (10 pts)
19. Determine
the standard deviation of x. (10 pts)
Consider the following situation for Questions 20 and
21.
Mimi just started her tennis class three weeks
ago. On Average, she is able to return 15%
of her opponent’s serves. If her
opponent serves 10 times, please answer the following questions.
20. Find the
probability that she returns at most 2 of the 10 serves from her opponent. (10
pts)
21. How many serves is she expected to return? (5
pts)
22. Given a sample size of 64, with sample mean 730
and sample standard deviation 80, we perform
the following
hypothesis test. (20 pts)
Ho ? = 750
H1 ? < 750
What is the appropriate distribution
for performing this Hypothesis test?
Z distribution, t
distribution, Chi Square distribution, Empirical Rule
What is the critical value of the test statistic at ?=
0.05 level?
What is the Pvalue for this Hypothesis Test?
What is your conclusion (decision) for
this hypothesis test at ?= 0.05 level?
Refer to the following information for Questions 23,
24, and 25.
The heights of pecan trees are normally distributed
with a mean of 10 feet and a standard deviation of 2 feet.
23. What is
the probability that a randomly selected pecan tree is between 10 and 12 feet
tall? (10 pts)
24. Find the 3^{rd} quartile of the pecan
tree distribution. (5 pts)
25. If a random sample of 100 pecan trees is
selected, what is the standard deviation of the sample mean? (5 pts)
26. Consider
the hypothesis test given by
Ho
? = 530
H1
? ? 530
In a random sample of 81 subjects, the sample mean is
found to be 524. Also, the population
standard deviation is ?= 27. (20 pts)
Calculate the Test Statistic.
Is there sufficient evidence to
justify the rejection of Ho at ?= 0.01 level?
27. A certain
researcher thinks that the proportion of women who say that the earth is
getting warmer
is
greater than the proportion of men. (25 pts)
In a
random sample of 250 women, 70% said that the earth is getting warmer.
In a
random sample of 220 men, 68.18% said that the earth is getting warmer.
At the
.05 significance level, is there sufficient evidence to support the claim that
the proportion of
women
saying the earth is getting warmer is higher than the proportion of men saying
the earth is
getting warmer?
What is the Null Hypothesis?
28. Find an
equation of the least squares regression line. (15 pts)
Complete the
following table:
x

y

x^2

xy

y^2

0

4

0

0

16

1

2

1

2

4

1

5

1

5

25

2

6

4

12

36

3

8

9

24

64

5

21

15

43

145

What is the Y intercept of the
equation?
29 Using
the equation you calculated in question 28 What is the predicted value of y if
x=4? (10 pts)
30. The UMUC
Daily News reported that the color distribution for plain M&M’s was: 40%
brown, 20% yellow, 20% orange,
10% green, and 10% tan. Each piece of
candy in a random sample of 100 plain
M&M’s was classified according to color, and the results are listed
below. Use a 0.05 significance level to test the claim that the
published color distribution is correct. (25 pts)
Color

Brown

Yellow

Orange

Green

Tan

Number

45

13

17

7

18

What is the Null Hypothesis?
What is the degrees of freedom for
this Hypothesis test?
What is the numerical Chi Square
critical value?
What is the numerical value of the
Chi Square test statistic?
31. Please note: Each time you redue the Final Exam the
answer to question 31 may change, but the subject matter and format will not
change.