De1 ML184 Nguyen-ly-thong-ke 260921 - Tài liệu tham khảo | Đại học Hoa Sen

De1 ML184 Nguyen-ly-thong-ke 260921 - Tài liệu tham khảo | Đại học Hoa Sen và thông tin bổ ích giúp sinh viên tham khảo, ôn luyện và phục vụ nhu cầu học tập của mình cụ thể là có định hướng, ôn tập, nắm vững kiến thức môn học và làm bài tốt trong những bài kiểm tra, bài tiểu luận, bài tập kết thúc học phần, từ đó học tập tốt và có kết quả

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Môn: Phân tích định lượng(zx)

Trường: Đại học Hoa Sen

Thông tin:

4 trang 18 giờ trước

Tác giả:

Profile Kim Oanh
1
C¡ SÞ II TR¯ÞNG ¾ ¾I TH¯¡NG I HÞC NGO
BÞ MïN I KINH DOANH & TH¯¡NG M¾
QUÞC T¾
_________________________
Þ ¾ Þ THI K T THòC H C PH¾N
NGUYæN L TH NG Kæ KINH TÝ Þ ¾ 3
TOAE301
__________________________________
Hßc k :1 c: 2021 2022 ÿ Nm hß 3
Hß: Ch’nh quy M‹ l p t’n ch : 184 ß ß
Kh—a: 58
Ngˆy thi: 26/09/2021 Ca thi:10h15-11h20
H“nh th c thi : Tr c nghi m vˆ t lu n ÿ ¿ ß ÿ ¿
Thßi gian lˆm bˆi: 65 phœt (kh™ng kß ß th i gian
phát ß)
SECTION A. MULTIPLE CHOICE (2 points)
There are 10 questions in this section. Each question is worth 0.2 points.
Q1. A statistics professor surveys the students in her class and finds that 20% are sophomores and
45% are juniors. This is an example of:
A) nominal data.
B) .
C) secondary data.
D) inferential statistics.
Q2. The grades that received over the last five years of
<International Business= classes represent what statistical concept?
A) The grades are a sample.
B) The grades are a parameter.
C) The grades are a population.
D)
Q3. A newspaper advertising sales representative earns a commission on each advertisement sold.
This person made $3,000 in commissions during one month and concludes that annual
compensation will be $36,000. This is an example of:
A) secondary data.
B)
C) nominal data.
D) descriptive statistics.
Q4. A consumer confidence researcher asks several retailers to report the number of LCD
televisions sold during a particular month. These numbers most likely represent what level of
measurement?
A) Interval
B) Nominal
C) Ordinal
D)
Q5. Student evaluation of teaching effectiveness for a particular course asks students to respond
to their with several statements according to the scale 1 = Strongly Agree, 2 =
Agree, 3 = Neutral, 4 = Disagree, and 5 = Strongly Disagree. The responses indicate what level of
measurement?
Þ SÞ:1
2
A) Interval
B) Nominal
C)
D) Ratio
Q6. Look at the that a firm sent to its customers.
do the questions concerning overall service, selection, and quality of the items
purchased represent?
A) Categorical variables measured on the interval scale.
B) Continuous variables measured on a ratio scale.
C) .
D) Categorical variables measured on the nominal scale.
Q7. The Quality Assurance Department of a large urban hospital is attempting to monitor and
evaluate patient satisfaction with hospital services.
l care, nursing, therapy,
laboratory, food, and cleaning. The Quality Assurance Department
at the Board of Directors meetings and extraordinary/atypical ratings are easy to flag.
estimated from the sample results each week are called ________.
A) a sample.
B) a population.
C)
D) a statistic
Q8. Which of the following is most likely ?
A) The average score of the first five students completing an assignment.
B) .
C) The average height of people randomly selected from a database.
D) The proportion of trucks stopped yesterday that were cited for bad brakes.
Q9. The chancellor of a major university was concerned about alcohol abuse on her campus and
wanted to find out
. Her assistant took a random sample of 250 students and
computed the portion of students in the sample who visited campus bars on the weekend before
the final exam.
:
A) a statistic.
B) a population.
C) a sample.
D) .
Q10. earned per semester by college students is suspected to be rising.
A researcher at Calendula College wishes to
. To do so, he randomly selects 100 student transcripts and records
the number of units each student earned in the spring term.
.
A) The number of students enrolled at Calendula College during the spring term.
B) The average indebtedness of Calendula College students enrolled in the spring.
C) The age of Calendula College students enrolled in the spring.
3
SECTION B. SHORT ESSAY QUESTIONS AND CALCULATION TASKS (8
points)
Problem 1: (3 points) suspects that
because o .
To investigate this possibility,
, and . Each
quote was classified according to whether the order was <lost= or not (i.e., whether or not the
customer placed an order after receiving a price quote).
A. Describe the process studied. (0.2 points)
B. Describe the research question. (0.2 points)
C. Describe the variables of interest. (0.4 points)
D. Describe the measurement of the variables in C. (0.4 points)
E. Describe the population and sample. (0.4 points)
F. Use the descriptive statistics on the processing time of the lost orders and the placed
orders to answer the research question . (1.4 point)
Placed orders
Lost orders
Mean
4.44
11.82
Standard
deviation
1.973
4.194
Number of
observations
39
11
Problem 2: (2 points) At one university, the students are given z-scores at the end of each semester
rather than the traditional GPAs. The mean and standard deviation of all students9 cumulative
GPAs, on which the -scores are based, are 2.7 and 0.5, respectively. z
A. Students with z-scores below 21.6 are put on probation. What is the corresponding probationary
GPA? (0.5 points)
B. The president of the university wishes to graduate the top 16% of the students with cum laude
honors and the top 2.5% with honors. Where (approximately) should the limits summa cum laude
be set in terms of -scores? In terms of GPAs? What assumption, if any, z (0.5 points) (0.5 points)
did you make about the distribution of the GPAs at the university? (0.5 points)
Problem 3 (3 points):
We use data on SAT score and estimate the equation:
�㗆�㗄�㗆 = �㗯
0
+ �㗯
1
/�㗆�㗅�㗆�㗅 + �㗯
2
/�㗆�㗅�㗆�㗅�㗆�㗅 + �㗯
3
�㗅�㗅
where: = combined SAT score sat
hsize = size of the student9s high school graduating class, in hundreds
hsizesq =hsize
2
=1 for female, 0 otherwise female
= 1 for blacks, 0 otherwise black
The results are presented in column (1) in the table below:
4
Regression results
(1)
(2)
VARIABLES
Model 1
Model 2
hsize
19.11
19.30
(3.837)
(3.832)
hsizesq
-2.189
-2.195
(0.528)
(0.527)
female
-41.61
-45.09
(4.175)
(4.291)
black
-139.3
-169.8
(9.097)
(12.71)
female*black
62.31
(18.15)
Constant
1,027
1,028
(6.290)
(6.290)
Observations
4,137
4,137
R-squared
0.083
0.086
F-statistics
93.72
77.52
Prob > F
0.000
0.000
Standard errors in parentheses
A. Discuss the results in column (1). (2 points)
B. Suppose that we add an interaction between female and black in the model as below:
(2)
The estimated results are presented in column (2).
Holding other factors fixed, what is the estimated difference in SAT score between
nonblack females and nonblack males? Explain . How statistically significant (0.5 points)
is this estimated difference? ( ) 0.5 points
--------------------------------------End of test--------------------------------------
Note: - This paper contains 10 questions from Section A, 03 problem from Section B, 04 pages.
- Students are not to use materials during the examination. allowed
- Invigilators shall not provide further explanation.
APPROVAL
COURSE DIRECTOR
(or DEAN/VICE DEAN OF THE FACULTY)
LE HONG VAN
LECTURER
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Preview text:

C¡ SÞ II TR¯ÞNG ¾ I HÞC NGO¾I TH¯¡NG
Þ THI K¾T THòC HÞC PH¾N
BÞ MïN KINH DOANH & TH¯¡NG M¾I
NGUYæN LÝ THÞNG Kæ KINH T¾ 3
QUÞC T¾ TOAE301
_________________________
__________________________________ Hßc k :1 ÿ Nm hßc: 2021 2022 3 Þ SÞ:1
Hß: Ch’nh quy M‹ lßp t’n chß: 184 Kh—a: 58
Ngˆy thi: 26/09/2021 Ca thi:10h15-11h20 H“nh th c thi : Tr ÿ c nghi ¿ ßm vˆ t lu ÿ n ¿
Thßi gian lˆm bˆi: 65 phœt (kh™ng kß thßi gian phát ß)
SECTION A. MULTIPLE CHOICE (2 points)
There are 10 questions in this section. Each question is worth 0.2 points.
Q1. A statistics professor surveys the students in her class and finds that 20% are sophomores and
45% are juniors. This is an example of: A) nominal data. B) . C) secondary data.
D) inferential statistics. Q2. The grades that
received over the last five years of A) The grades are a sample.
B) The grades are a parameter.
C) The grades are a population. D)
Q3. A newspaper advertising sales representative earns a commission on each advertisement sold.
This person made $3,000 in commissions during one month and concludes that annual
compensation will be $36,000. This is an example of: A) secondary data. B) C) nominal data. D) descriptive statistics.
Q4. A consumer confidence researcher asks several retailers to report the number of LCD
televisions sold during a particular month. These numbers most likely represent what level of measurement? A) Interval B) Nominal C) Ordinal D)
Q5. Student evaluation of teaching effectiveness for a particular course asks students to respond to their
with several statements according to the scale 1 = Strongly Agree, 2 =
Agree, 3 = Neutral, 4 = Disagree, and 5 = Strongly Disagree. The responses indicate what level of measurement? 1 A) Interval B) Nominal C) D) Ratio Q6. Look at the
that a firm sent to its customers.
do the questions concerning overall service, selection, and quality of the items purchased represent?
A) Categorical variables measured on the interval scale.
B) Continuous variables measured on a ratio scale. C) .
D) Categorical variables measured on the nominal scale.
Q7. The Quality Assurance Department of a large urban hospital is attempting to monitor and
evaluate patient satisfaction with hospital services. l care, nursing, therapy,
laboratory, food, and cleaning. The Quality Assurance Department
at the Board of Directors meetings and extraordinary/atypical ratings are easy to flag.
estimated from the sample results each week are called ________. A) a sample. B) a population. C) D) a statistic
Q8. Which of the following is most likely ?
A) The average score of the first five students completing an assignment. B) .
C) The average height of people randomly selected from a database.
D) The proportion of trucks stopped yesterday that were cited for bad brakes.
Q9. The chancellor of a major university was concerned about alcohol abuse on her campus and wanted to find out
. Her assistant took a random sample of 250 students and
computed the portion of students in the sample who visited campus bars on the weekend before the final exam. : A) a statistic. B) a population. C) a sample. D) . Q10.
earned per semester by college students is suspected to be rising.
A researcher at Calendula College wishes to
. To do so, he randomly selects 100 student transcripts and records
the number of units each student earned in the spring term. .
A) The number of students enrolled at Calendula College during the spring term.
B) The average indebtedness of Calendula College students enrolled in the spring.
C) The age of Calendula College students enrolled in the spring. 2
SECTION B. SHORT ESSAY QUESTIONS AND CALCULATION TASKS (8 points) Problem 1: (3 points) suspects that because o .
To investigate this possibility, , and . Each
quote was classified according to whether the order was customer placed an order after receiving a price quote).
A. Describe the process studied. (0.2 points)
B. Describe the research question. (0.2 points)
C. Describe the variables of interest. (0.4 points)
D. Describe the measurement of the variables in C. (0.4 points)
E. Describe the population and sample. (0.4 points)
F. Use the descriptive statistics on the processing time of the lost orders and the placed
orders to answer the research question . (1.4 point) Placed orders Lost orders Mean 4.44 11.82 Standard 1.973 4.194 deviation Number of 39 11 observations
Problem 2: (2 points) At one university, the students are given z-scores at the end of each semester
rather than the traditional GPAs. The mean and standard deviation of all students9 cumulative
GPAs, on which the z-scores are based, are 2.7 and 0.5, respectively.
A. Students with z-scores below 21.6 are put on probation. What is the corresponding probationary GPA? (0.5 points)
B. The president of the university wishes to graduate the top 16% of the students with cum laude
honors and the top 2.5% with summa cum laude honors. Where (approximately) should the limits
be set in terms of z-scores? (0.5 points) In terms of GPAs? (0.5 points) What assumption, if any,
did you make about the distribution of the GPAs at the university? (0.5 points) Problem 3 (3 points):
We use data on SAT score and estimate the equation: �㗆�㗄�㗆 = �㗯 /�㗆�㗅�㗆�㗅
/�㗆�㗅�㗆�㗅�㗆�㗅 �㗅�㗅 0 + �㗯1 + �㗯2 + �㗯3
where: sat = combined SAT score
hsize = size of the student9s high school graduating class, in hundreds hsizesq =hsize2
female =1 for female, 0 otherwise
black = 1 for blacks, 0 otherwise
The results are presented in column (1) in the table below: 3 Regression results (1) (2) VARIABLES Model 1 Model 2 hsize 19.11 19.30 (3.837) (3.832) hsizesq -2.189 -2.195 (0.528) (0.527) female -41.61 -45.09 (4.175) (4.291) black -139.3 -169.8 (9.097) (12.71) female*black 62.31 (18.15) Constant 1,027 1,028 (6.290) (6.290) Observations 4,137 4,137 R-squared 0.083 0.086 F-statistics 93.72 77.52 Prob > F 0.000 0.000
Standard errors in parentheses
A. Discuss the results in column (1). (2 points)
B. Suppose that we add an interaction between female and black in the model as below: sat = + hsize+ hsizesq+ female+ black +
female* black + u (2) 0 1 2 3 4 5
The estimated results are presented in column (2).
Holding other factors fixed, what is the estimated difference in SAT score between
nonblack females and nonblack males? Explain (0.5 points). How statistically significant
is this estimated difference? (0.5 points)
--------------------------------------End of test--------------------------------------
Note: - This paper contains 10 questions from Section A, 03 problem from Section B, 04 pages.
- Students are not allowed to use materials during the examination.
- Invigilators shall not provide further explanation. APPROVAL LECTURER COURSE DIRECTOR
(or DEAN/VICE DEAN OF THE FACULTY) LE HONG VAN 4