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ECMT5001 semester Exam
创建日期：2024-05-13 15:06:21
所属分类：统计学statistics
标签： ECMT5001
semester Exam

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ECMT5001: In-semester Exam 

Time allowed: 1.5 hours
The total score of this exam is 40 marks. Attempt all questions. Correct all numerical
answers to 2 decimal places.
1. [Total: 9 marks] Bob is the proud owner of the restaurant “Hungry Bob.” The only
product Hungry Bob sells is Bob’s burger, which is priced at $10 each. The number of
Bob’s burgers sold on a day, denoted N , follows a normal distribution with mean 400 and
standard deviation 50.
(a) [3 marks] What is the probability that the daily revenue exceeds $5,000?
It is known that the total daily cost, denoted C, follows a normal distribution with
mean $1,000 and standard deviation $300. The correlation between C and N is 0.8.
Let P denote the total daily pro…t.
(b) [1 mark] Express P in terms of C and N .
(c) [2 marks] Compute E(P ).
(d) [3 marks] Compute V ar(P ).
2. [Total: 16 marks] The government reported that the infection rate of COVID-19 is 0.2.
Let Y denote the number of people infected with COVID-19 in a random sample of 5
individuals.
(a) [3 marks] What is the distribution of Y ? Name the distribution and specify its
parameter(s).
(b) [3 marks] Compute P (Y > 1).
(c) [4 marks] Compute P (Y > 2jY > 1).
(d) [6 marks] Simon wanted to test whether the true infection rate is higher than 0.2.
He collected a random sample of 100 individuals. It was found that 27 individuals
were infected with COVID-19. Carry out a hypothesis test for Simon at the 5 percent
signi…cance level. Show all your steps. A complete response should include:
i. setting up the null and alternative hypotheses;
ii. de…ning an appropriate test statistic;
iii. stating the distribution of your test statistic under the null hypothesis;
iv. computing the test statistic based on the sampled data;
v. making a decision using a correct method (e.g., critical value approach or p-value
approach); and
vi. drawing a conclusion.
1
3. [Total: 15 marks] Carol is a trader for an investment bank in Wall Street. She is studying
the tick movement of a blue chip stock. Let X denote the price change (in number of ticks).
The probability density function of X is given below.
x f(x)
-2 0.02
-1 0.08
0 0.8
1 0.08
2 0.02
(a) Compute the following:
i. [2 marks] E(X)
ii. [2 marks] E(X2)
iii. [2 marks] sd(X)
(b) Let S denote the sign of X, de…ned below
S =
8<:
1 if X is negative,
0 if X = 0,
1 if X is positive.
Let jXj denote the absolute value of X (e.g., j2j = 2, j2j = 2). Note that jXj = SX
and X = S jXj.
i. [3 marks] Compute Cor(S; jXj), the correlation between S and jXj.
ii. [4 marks] Compute Cor(S;X), the correlation between S and X.
iii. [2 marks] Are S and X independent? Why or why not?
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MATH 239 QF5203 INFR08010 IT114105 FIT2093 ECON3124 ECON1195 MATH 337 STAT 3006 COMP202 COMP3130 MATH3609 COMP 250 CS6140 IEEE ELE00041I FIN40090 CIV 5899 MATH3066 IGNMENT MATH 2009 STAT3405 HIST 101 MATH 3281 CEGE0042 ICT532 LAB 7 LAB 5 MCO455 CSIT214 Q4 IFB104 A1 ECO220Y5Y DA5020 CMPSC473 FIN9007 DSCI553 MSCI534 COMP3308 CSE-112 CMPT 310 EE104 F 2C P20 ALY2010 BUSM060 STA258 ECO00030M R BIOSTAT 274 COS6012-B FIT3155 CMPUT 340 EC421 INFS4205 ECOM135 NATS 1740 COMP809 MBE 6005 STA465 CSSE2310 CIVL2700 DATA4700 CMPSC 473 ISE 529 CS5044 MAST30020 COMP2207 ENGG1001 COMP0046 FIT3165 STAT GR5241 MECH0007 vATHK1001 ANALYTIC ATHK1001 MATH352001 HW3 S1 BMAN 24662 COMP 636 Stat-461 STAT 302 STAT 2132 STAR534 ENG4137 CMP3752M CS3103 BISM3222 STA 135 ME155A IIMT3601 ECON3371 ECON 3371 HW4 FINA 5840 DT211C CTEC3902 MAT005 MATH2148 S261F Econ 332 MATH3734 MIS41270 7CCMFM13 SYST 664 CIS434 CENG10014 MT4111 MT4527 ECMM424 CMT219 Math 136 MATH 3120 COMP10002 MAST20009 MATH0058 BEEM117 ISYE 6420 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MATH20602 COMP532 MAS275 COMP5318 COMP4002 FIT5086 MAST20004 FIT3152 FIT5129 CIS2380 CS521 COMP 1005 EECMS CITS5501 ECE 462 ECON 6002 ENG 4051 CSC 648 CMT654 MECHENG 713 PHYS1002 AMME 2000 FP0060 DDES3200 MECHENG 743 BINF90002 FIT2081 ISYS90081 ELECTENG 722 BUS 360 ECOS3010 BUS2810 ETF2100 ENG2048 STAT5002 COMP2017 CEME 2003 MATS3004 COMP9319 PHYS1001 COMP5349 AMME2261 COMP-381 FIT3173 COSC2757 ENG4025 QBUS2820 COMP9414 MATH2021 EOSC118 MFIN6690 PMATH 321 CSE-141L MATH575A COMPSCI5002 COMP1511 management comp2123 FINS3616 COMP 3331 COMS30034 DTSC 71 AcF 702 AcF702 DTSC71 MAT021 ELE8083 ACFI213 EG-127J 127J FIT5163 FIT2001 ELE00113M CMT310 CS 245 ENGL 1101 MTH6115 EE497 CS 325 Math 124A MTH5130 MBA502 MGT 5380 ARCH 1261 F033800 20LLP109 ELE4009 FINANCIAL COMP3331 Computer ECE4179 20T3 COMP9311 COMP9311 UNSW MFIN6210 ACCT 5930 EE590 ENG2029 ECO100 SIT315 ACCT3610 COMP3600 STK2100 FIT2004 COMP30020 ACTL1101 Stat 101B BANA 200 COSC2473 ENGG1400 AI COMP90043 MMF 1914H PHYS 127 CS584 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COMP2013 IB9X60 INVP001 EMATM0051 COMP220 BLAW1002 E20 TCP8001 ECON61001 EART40005 ECONM1022 MATH 365 MATH 367 ELEC6218 COMP 5812M EDUC 5061M ELEC ENG 1101 equation MATH6174 ST334 C4 EC9570 A33648 EBUS603 ECON47815 stata WFMS0001 PEM102 INF6060 ionically ELECTRICAL MATH 375 MMW 12 MKTG860 ECON60401 ALY6010 SOST20131 Introduction COM3524 MME2 GGR305 JNB 538 EECS101 COMM5030 IEOR E4601 2B CSC336 EN2315 LAW 432 CSC263 MATH2001 OLET1143 CSCB63 SIT772 COMM1170 STAT 441 MS930 INFT3050 GLBH0030 Stat 120B MAST10007 MGEC61 Machine GGR 252H1S ECON7030 Financial Marketing MGMT30019 ECON5120 SDSC 8009 CSC165H1S DSCI 551 3081W ACM41000 ECA 5304 MATH 1064 ECSE444 DATA 604 COMP7105 MIE1615 ECON4004 ENV200H1S EC481 MKT 306 EC1B1 MATH08051 ALY6140 CS260C CSE30 MSIN0226 CS4103 CSC3064 AM16 COMP11212 CSE4101 PSTAT 174 Math 380W CNT 5106C STAT 310 FIN2028 CS5014 STAT 425 COMP 4102A ELEC2140 MANF9544 QRM 9 QRM 8 ECON 457 COMPSCI 4091 MATH 523 DNSC-4211 PEAS 6000 MSIN0180 COMP2119 A2A HT 2022 IB93F0 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