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MSA 640 – Homework Assignment #1 Due Friday, August 27, 2010 ...

MSA 640 – Homework Assignment #1 Due Friday, August 27, 2010 ...

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Name: ______________________________<br />

<strong>MSA</strong> <strong>640</strong> – <strong>Homework</strong> <strong>Assignment</strong> <strong>#1</strong><br />

<strong>Due</strong> <strong>Friday</strong>, <strong>August</strong> <strong>27</strong>, <strong>2010</strong> (100 Points Total/20 Points per Question)<br />

The numerical answers for most of these problems are provided. Consequently, grading will be<br />

based almost entirely on the correctness and clarity of the procedure and formulas you use to<br />

obtain your answer. You may use a calculator, laptop computer, or any tool you wish, but you<br />

must show all your work. You may consult with or discuss these problems with anyone you<br />

wish, but your work must be the product of your own personal effort. You may use additional<br />

paper if necessary.<br />

1. An urn contains 12 balls described as follows:<br />

5 are white (W) and lettered (L)<br />

2 are white (W) and numbered (N)<br />

4 are yellow (Y) and lettered (L)<br />

1 is yellow (Y) and numbered (N)<br />

Find the following probabilities for one ball drawn from the urn:<br />

5 balls white (W)<br />

and lettered (L)<br />

2 balls white (W)<br />

and numbered (N)<br />

4 balls yellow (Y)<br />

and lettered (L)<br />

1 ball yellow (Y)<br />

and numbered (N)<br />

P(WL) =<br />

P(YL) =<br />

P(WN) =<br />

P(YN) =<br />

Suggestion: Complete the<br />

following table for use in<br />

computing the probabilities.<br />

L<br />

N<br />

W<br />

Y<br />

P(W) =<br />

P(L) =<br />

P(Y) =<br />

P(N) =<br />

N.B.: P(WL) = 0.42, P(WN) = 0.17, P(L) = 0.75, P(N) = 0.25<br />

<strong>Homework</strong> <strong>#1</strong> Page 1 of 6


Name: ______________________________<br />

#2 Last year at Northern Manufacturing Company, 550 people had colds during the year. There<br />

were 340 people who did no exercising and had colds, while all other people with colds were<br />

involved in a weekly exercise program. Sixty-eight percent (68%) of the 2,600 employees were<br />

involved in some type of exercise.Use the following variables and show all formulas that you<br />

use:<br />

E = people who exercised, ~E = people who did not exercise, C = people who got colds<br />

Given: P(C), P(~E and C), P(E and C), P(E), P(~E)<br />

(a) What is the probability that an employee will have a cold next year (0.21)<br />

(b) Given that an employee is involved in an exercise program, what is the probability that he<br />

or she will get a cold next year (0.12)<br />

(c) Given that an employee is not involved in an exercise program, what is the probability<br />

that he or she will get a cold next year (0.41)<br />

(d) Explain whether exercising and getting a cold are independent events. Prove your answer<br />

using the conditional probability equation. Hint: If P(C | E) is equal to P(C), then events<br />

C and E are independent, otherwise, they are dependent.<br />

Suggestion:<br />

Complete the table to the right for use in<br />

computing the probabilities.<br />

C<br />

~C<br />

E ~E<br />

(a) P(C) =<br />

(b) P(C | E) =<br />

(c) P(C | ~E) =<br />

(d) Prove whether C and E are independent events.<br />

#3 The time to complete a construction project is normally distributed with a mean of 62 weeks and a standard<br />

deviation of 3 weeks. In addition to producing numerical answers, complete drawing and labeling the following<br />

normal curves to show approximate solutions for each part of this problem. Show all the formulas you use.<br />

(a) What is the probability the project will be finished in fewer than 64 weeks (0.75)<br />

(b) What is the probability the project will be finished in fewer than 59 weeks (0.16)<br />

(c) What is the probability the project will take longer than 63 weeks (0.37)<br />

(d) What is the probability the project will take between 58 and 66 weeks (0.82)<br />

<strong>Homework</strong> <strong>#1</strong> Page 2 of 6


Name: ______________________________<br />

#3 (continued)<br />

Given information:<br />

µ = ______________ σ = _____________<br />

(a) P(X < 64)<br />

Show work in this space<br />

62<br />

(b) P(X < 59)<br />

62<br />

(c) P(X > 63)<br />

62<br />

(d) P(58 < X < 66)<br />

62<br />

<strong>Homework</strong> <strong>#1</strong> Page 3 of 6


Name: ______________________________<br />

#4 Armstrong Faber produces a standard number two pencil called Ultra-Lite. Since Chuck Armstrong started<br />

Armstrong Faber, sales have grown steadily. With the increase in the price of wood products, however, Chuck has<br />

been forced to increase the price of the Ultra-Lite pencils. As a result, the demand for Ulta-Lite has been fairly<br />

stable over the past 6 years. On the average, Armstrong Faber has sold 550 thousand pencils each year. Furthermore,<br />

90% of the time sales have been between 540 and 560 thousand pencils. It is expected that the sales follow a normal<br />

distribution with a mean of 550 thousand pencils. Given this information, find the standard deviation of this<br />

distribution. Complete drawing and labeling the following normal curve to show an approximate solution and show<br />

all intermediate work, including formulas. Hint: Start by working backward to find the Z value.<br />

(Z-value = 1.645, standard deviation = 6.08)<br />

550<br />

Use this<br />

space to<br />

show how<br />

the value of<br />

Z was<br />

obtained<br />

Use this<br />

space to<br />

show how<br />

the value of<br />

the standard<br />

deviation (σ)<br />

was obtained<br />

<strong>Homework</strong> <strong>#1</strong> Page 4 of 6


Name: ______________________________<br />

#5 During the summer months in Washington, D.C., bus and subway ridership is believed to be heavily tied to the<br />

number of tourists visiting the city. During the past 12 years, the following data has been obtained where the X<br />

column represents millions of tourists and the Y column represents ridership in millions.<br />

(a) Develop the slope and intercept for the regression equation. (b 0 =0.539, b 1 =0.146)<br />

(b) What is the expected ridership if 20 million tourists visit the city (3.46)<br />

(c) What is the expected ridership if 21 million tourists visit the city (3.51)<br />

Don’t forget to show all formulas that you use as well as all intermediate work.<br />

X Y ( X − X ) ( Y − Y ) ( X − X ) 2<br />

( X − X ) × ( Y −Y<br />

)<br />

1 0.8<br />

3 0.9<br />

4 1.1<br />

6 1.3<br />

8 1.5<br />

9 1.8<br />

10 2.2<br />

12 2.5<br />

14 2.7<br />

16 2.9<br />

18 3.1<br />

19 3.2<br />

∑( X ) ( )<br />

2<br />

∑ Y ( X − X ) ( Y −Y ) ( X − X ) ( X − X ) × ( Y −Y<br />

)<br />

∑<br />

∑<br />

∑<br />

∑<br />

X = Y =<br />

b 1 =<br />

b 0 =<br />

The regression equation is:<br />

Forecast the value of Y for X = 20 using the regression equation:<br />

Forecast the value of Y for X = 21 using the regression equation:<br />

<strong>Homework</strong> <strong>#1</strong> Page 5 of 6


Name: ______________________________<br />

Some Useful Formulas<br />

P(<br />

Aand B)<br />

P ( A|<br />

B)<br />

=<br />

P(<br />

B)<br />

P ( Aand B)<br />

= P(<br />

A|<br />

B)<br />

× P(<br />

B)<br />

Z = X − µ<br />

σ<br />

X − µ<br />

σ =<br />

Z<br />

X = µ + ( Z × σ )<br />

∑ x<br />

X =<br />

n<br />

∑ y<br />

Y =<br />

n<br />

b<br />

∑<br />

( X − X ) × ( Y −Y<br />

)<br />

1<br />

=<br />

2<br />

∑<br />

( X − X )<br />

b0 = Y −b1<br />

X<br />

ˆ = b + b X<br />

Y<br />

0 1<br />

<strong>Homework</strong> <strong>#1</strong> Page 6 of 6

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