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Assignment 1 Your assignment should be submitted electronically. If you have p

Assignment 1 Your assignment should be submitted electronically. If you have p

Assignment
1
Your assignment should be submitted
electronically. If you have problems writing formulas with your word processor,
cite the formula number as it appears in textbook. Show your work!Part marks are awarded only when detailed solutions
are presented. If only the answers are given, you will not receive any marks
for incorrect answers. You should submit solutions showing main calculations
(i.e., procedures, formulas, and conclusions) for each and every problem.
Occasionally, an answer is wrong due to an arithmetic and/or computation error,
yet you could still get part marks if the formulas and procedures are correct.
Note:
You can use the Insert/Equation function to add
complex math to a Microsoft Word document. Be aware, though, that adding equations
increases the size of your files.

Question 1 (4
marks)
A medical journal reported the following frequencies
of deaths due to cardiac arrest for each day of the week.
Cardiac
Deaths by Day of the Week

Day f
Monday 40
Tuesday 17
Wednesday 16
Thursday 29
Friday 15
Saturday 20
Sunday 17

We want to determine whether the number of
deaths is uniform over the week.
a. Compute
the test statistic.
b. Using
the p-value approach at 95% confidence, test for the uniformity of death
over the week.
c. Using
the critical value approach, perform the test for uniformity.

Question 2 (4
marks)
The following table shows the results
of recent study regarding gender of individuals and their selected field of
study.

Field
of study

Male

Female

TOTAL

Medicine

80

40

120

Business

60

20

80

Engineering

160

40

200

TOTAL

300

100

400

We want to
determine if the selected field of study is independent of gender.

a. Compute
the test statistic.
b. Using the p-value approach at 90% confidence,
test to see if the field of study is independent of gender.
c. Using the critical method approach at 90%
confidence, test for the independence of major and gender.

Question 3 (3
marks)
The test scores for selected samples of sociology students who took
the course from three different instructors are shown below.
Instructor
A Instructor B Instructor C
83 90 85
60 55 90
80 84 90
85 91 95
71 85 80
Ata
= 0.05, test to see if there is a significant difference among the averages of
the three groups.

Question 4 (3
marks)
In
a completely randomized experimental design, 11 experimental units were used
for each of the 3 treatments. Part of
the ANOVA table is shown below.
Source of Sum Degrees Mean
Variation of Squares of
Freedom Squares F

Between
Treatments 1,500 2? 750? 1.33?
Within
Treatments 4500? 8? 562.5?

(Error)

Total 6,000

a. Fill in the blanks in the above ANOVA table.
b. At 95% confidence, test to determine whether
or not the means of the 3 populations are equal.
1-0.95= 0.05/2= 0.025

Question 5 (6
marks)
A
factorial experiment involving 2 levels of factor A and 2 levels of factor B
resulted in the following.

Factor
B
Level
1 Level
2
Level
1 14 18
16 12
Factor A
Level
2 18 16
20 14

Set up an ANOVA table and test for any
significant main effect and any interaction effect. Usea
= .05.

Question 6 (10
marks)
A multiple regression analysis between yearly
income (Y in $1,000s), college grade point average (X1), age of the
individuals (X2), and the gender of the individual (X3;
zero representing female and one representing male) was performed on a sample
of 10 people, and the following results were obtained.
Coefficient Standard Error
Constant 4.0928 1.4400
X1 10.0230 1.6512
X2 0.1020 0.1225
X3 -4.4811 1.4400

Analysis of Variance

Source of Degrees Sum of Mean
Variation of
Freedom Squares Square F

Regression 360.59
Error 23.91

a. Write the
regression equation for the above.
b. Interpret the
meaning of the coefficient of X3.
c. Compute the
coefficient of determination.
d. Is the
coefficient of X1 significant?
Usea = 0.05.
e. Is the
coefficient of X2 significant?
Usea = 0.05.
f. Is the
coefficient of X3 significant?
Usea = 0.05.
g. Perform an F
test and determine whether or not the model is significant.

Assignment
1Your assignment should be submitted
electronically. If you have problems writing formulas with your word processor,
cite the formula number as it appears in textbook. Show your work!Part marks are awarded only when detailed solutions
are presented. If only the answers are given, you will not receive any marks
for incorrect answers. You should submit solutions showing main calculations
(i.e., procedures, formulas, and conclusions) for each and every problem.
Occasionally, an answer is wrong due to an arithmetic and/or computation error,
yet you could still get part marks if the formulas and procedures are correct.Note:
You can use the Insert/Equation function to add
complex math to a Microsoft Word document. Be aware, though, that adding equations
increases the size of your files.Question 1 (4
marks)A medical journal reported the following frequencies
of deaths due to cardiac arrest for each day of the week. Cardiac
Deaths by Day of the Week Day f Monday 40 Tuesday 17 Wednesday 16 Thursday 29 Friday 15 Saturday 20 Sunday 17We want to determine whether the number of
deaths is uniform over the week. a. Compute
the test statistic. b. Using
the p-value approach at 95% confidence, test for the uniformity of death
over the week. c. Using
the critical value approach, perform the test for uniformity.Question 2 (4
marks)The following table shows the results
of recent study regarding gender of individuals and their selected field of
study.Field
of studyMaleFemaleTOTALMedicine8040120Business602080Engineering16040200TOTAL300100400We want to
determine if the selected field of study is independent of gender. a. Compute
the test statistic. b. Using the p-value approach at 90% confidence,
test to see if the field of study is independent of gender. c. Using the critical method approach at 90%
confidence, test for the independence of major and gender.Question 3 (3
marks)The test scores for selected samples of sociology students who took
the course from three different instructors are shown below. Instructor
A Instructor B Instructor C 83 90 85 60 55 90 80 84 90 85 91 95 71 85 80Ata
= 0.05, test to see if there is a significant difference among the averages of
the three groups.Question 4 (3
marks)In
a completely randomized experimental design, 11 experimental units were used
for each of the 3 treatments. Part of
the ANOVA table is shown below. Source of Sum Degrees Mean Variation of Squares of
Freedom Squares F Between Treatments 1,500 2? 750? 1.33? Within Treatments 4500? 8? 562.5? (Error) Total 6,000 a. Fill in the blanks in the above ANOVA table. b. At 95% confidence, test to determine whether
or not the means of the 3 populations are equal.1-0.95= 0.05/2= 0.025Question 5 (6
marks)A
factorial experiment involving 2 levels of factor A and 2 levels of factor B
resulted in the following. Factor
B Level
1 Level
2 Level
1 14 18 16 12 Factor A Level
2 18 16 20 14Set up an ANOVA table and test for any
significant main effect and any interaction effect. Usea
= .05.Question 6 (10
marks)A multiple regression analysis between yearly
income (Y in $1,000s), college grade point average (X1), age of the
individuals (X2), and the gender of the individual (X3;
zero representing female and one representing male) was performed on a sample
of 10 people, and the following results were obtained. Coefficient Standard Error Constant 4.0928 1.4400 X1 10.0230 1.6512 X2 0.1020 0.1225 X3 -4.4811 1.4400Analysis of Variance Source of Degrees Sum of Mean Variation of
Freedom Squares Square F Regression 360.59 Error 23.91 a. Write the
regression equation for the above. b. Interpret the
meaning of the coefficient of X3. c. Compute the
coefficient of determination. d. Is the
coefficient of X1 significant?
Usea = 0.05. e. Is the
coefficient of X2 significant?
Usea = 0.05. f. Is the
coefficient of X3 significant?
Usea = 0.05. g. Perform an F
test and determine whether or not the model is significant.

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