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4SSMN902, Statistics for Economists
创建日期：2024-07-09 15:43:00
所属分类：统计学statistics
标签： 4SSMN902
Statistics for Economists

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4SSMN902, Statistics for Economists 


INSTRUCTIONS TO CANDIDATES: READ CAREFULLY

1. A template answer sheet has been provided with this assessment.

2. All mathematical/statistical workings should be shown. In Part A,   where necessary you may use the Microsoft Word Equation Editor (or similar) or hand-written mathematical/statistical workings and    paste these within your answers. However, for Part B you must

type all of your answers, again, where necessary you may use the Microsoft Word Equation Editor (or similar).

3. Where necessary, you are expected to use the t-tables and z-

tables at the end of this examination paper to answer questions in Part A, rather than using external sources or software.

4. You should use STATA only for part B2 of this examination. You are expected to use a Casio fx-83 or Casio fx-85 calculator (or

similar) for the remainder of this examination, where the calculator does not have advanced mathematical/statistical functions.

5. Although you have up to 3 hours to submit your answers from the  time the exam opens. You will be granted an additional 30 minutes to upload your answers.

6. Save your work regularly, at least every 15 minutes.

7. Answer all questions.

8. Label each answer very clearly so that markers can see easily to which question they belong. Answers should be submitted in order.

ONLINE SUBMISSION INSTRUCTIONS:

1. Your answer sheet should be submitted via the Turnitin submission link titled ‘FINAL ASSESSMENT’ on the module KEATS page.

2. Ensure your document is submitted as CANDIDATE ID – MODULECODE- i.e. A12345 4SSMN103

3. Once submitted please check you are satisfied with the uploaded document via the submission link.

4.  If you experience technical difficulties uploading your assessment to KEATS please email a copy to [email protected] with the subject as CANDIDATE ID- MODULE CODE- PERIOD 2 ASSESSMENT

SECTION A (36 marks)

Answer ALL questions. Each question carries 6 marks.

QUESTION A1

a) Suppose a player plays a game of chance with probability 0.45 that they are successful and 0.55 that they fail. What is the probability that they will win four times if they play the game seven times?           (3 marks)

b) ‘One of the assumptions of the binomial distribution is that the trials are independent’. Is this statement true or false? Explain   (3 marks)

QUESTION A2

a) A florist is interested in the number of customers who purchase bunches of flowers in an hour. Suppose the population mean

number of purchases from florists in the locality is 15 bunches of flowers per hour, with a population variance of 4. What is the

probability that the florist will sell equal or less than 12 bunches of flowers in an hour.                             (3 marks)

b) Explain why we often use sample means and variances instead of population means and variances in statistical analysis.    (3 marks)

QUESTION A3

Marcella investigates reviews for a particular hotel by accessing a hotel review site.  She finds that 75% of all reviews were good.  Of the

positive reviews, 25% were by people aged more than 40. 60% of the reviews were written by people aged less than 40.

a) What is the probability that Marcella reads a positive review and it was written by a person aged more than 40?                (2 marks)

b) What is the probability that a review was positive and the review was written by a person aged less than 40.                 (2 marks)

c) What is the probability that the review was written by a person aged less than 40 given that it was positive?                    (2 marks)

QUESTION A4

The following ANOVA table represents the estimates calculated by a researcher who wants to test for equality of mean waiting times in six hospitals, based on samples of 10 patients in each hospital. The F critical values are also shown in the table.

ANOVA table for hospital waiting times:


degrees of freedom

Sum of  Squares

Treatments

5

220

Error

54

630

Total

59

850




F(5,54), 95% = 2.39, 99% = 3.38

a) State the null and alternate hypotheses            (1 mark)

b) Using an F test, can the researcher be 95% sure that there is a difference between the test pass rates across centres? Can they be 99% sure?                      (3 marks)

c) What are the limitations associated with the ANOVA test?     (2 marks)

QUESTION A5

A large UK firm purchases supplies from firms, of which some are domestic (D) firms, some are located in Italy (I) and some are located in China (C). In one year some suppliers deliver on time (O) and some deliver late (L). The following table shows the joint probabilities of supply country and timeliness.

Joint probability table:


D

I

C

O

0.45

0.14

0.11

L

0.18

0.08

0.04

a) Calculate the marginal probabilities for each country and for O and L (1 mark)

b) What is the probability that: (2 marks)

(i) The supplier is a domestic firm given that the supplies are on-time?                               (1 mark)

(ii) The supplies are late given that they come from Italy? (1 mark)

c) Suppose the prices charged for the supplies by D, I and C are £1000, £1,500 and £750, respectively. Calculate the conditional expectation of the supplier price given L.                      (3 marks)

QUESTION A6

a) Define prior and posterior probabilities.                            (2 marks)

b) Suppose that an events management company estimates the probability that a customer attending an event pays on-line (A1) is 0.55 and their probability of paying at the door (A2) is 0.45. Market research suggests that 80% of payments on-line and 15% of payments at the door are by people in the 18-30 age group. Using Bayes theorem, calculate the posterior probability that those attending the event aged 18-30 will pay on-line.

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MOEC0021 STA 106 ENGG 1300A ENGG 1300 OLET1139 STAT 3503 STAT 206 FEM11149 ELEN 4720 COMP20003 SOLA1070 CS574 C11CS LINB29H3 MAST90083 ECON7200 STAT 610 LINB29 DSM-5 COMP3161 EEEN40010 MATH 4431 K353 STA 3386 IERG4300 COMS W4167 ENG5298 AMME 2302 CS3910 COMPSCI 320 STATS 369 GR5242 COSC 328 CSCI435 MGTS1301 INFS2200 COMP3900 CIS 375 Module AE03 COMP3121 CS260 HAM503 MGMT5050 INT3075 COSC 285 GEOL0029 GEGE2X01 STAT1201 MATH1061 MMF1941H STAT 5060 CS 520 COMP 4320 MSIN0104 000T FINS3648 ECMT2160 ECON4003 Phys 129L CSE 142 CS 3130 MGEB01 EECS 340 Finance (20443/20444) ECMM149 COMP5310 EEEN60180 CSC 111 AT2 CSCI 4430 STAB57 MA/CSC 427 MATH322 D100 CSCI544 CITS3004 CI6227 CSE 565 APCO 1P01 852L1 ELEC S411F COMP3207 STATS330 ECON7530 FIT5149 CSI4104 CMPT 371 COMP201 SEHS4696 FI4003 MATH6182 CG1 WS MATH401 MGT 205 QTM 110 COMP 0137 MACE12201 FIT5210 ECE 544 BISM7206 HUDM 6055 ECON3203 STATS 210 MSCI 570 MATH6173 COMPSCI4039 Accounting COM3503 AOE2024 ECON213 PSYC10004 Control Data 100/200A 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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 MAS316/414 ACCT2522 MSIN0181 ATMS 201 COMP3425 MATH7861 SOLA2060 MA 325 7CCEMCTH ECON 432 INFT2051 SOLA 2060 ECOS2002 Stats141XP BIOA02H3 S2022 MA4601 K5 COMP5329 EG 284 IB3A70 WECO1020 COMP3027 Energy ACS61011 MAST20026 STAT 533 MATA31 ENVS257 BEM2031 EC 486 COMP0172 CS3214 EECE5644 IB2B20 COSC2536 COSC1147 COMP6214 5CCM242A COMP0130 AMME2000 MTMG50: EG238 ACF6006 QBUS2810 COSC2391 ECON7560 MATH377 STA305 CS 486 COMP1117B EL648 ELEC3909 ECON 241 COMP 4901W BUSI4428 ENEN20002 ENGN4524 ELEC3115 CSC 413 PSYC 100B ECON1002 MATH256 ANSC20005 MTHS2008 MATH40082 COSC 2406 FIT3174 STA 238 CMT202 Differential Equations MTHM017 GARCH 101 MATH2069 CSC336S ACSC12 ETF2121 CEME 2001 DB B474F ARHT1001 EECS 3311 3220 STATS 786 CS 484 COMP20008 MATH4091 ECE 455 CSCI 204 BUS B200F BA 875 BU5562 COSC 1147 X11 GEOG 101 IMM250F CSE 584A MATH38172 LAB 4 ELEC5882M FINS5523 EE 430 COMP 465 6CCS3PRE 7CCSMNSE FINANCE ACMB02H3 ENGG2112 ELEC5616 SCM B371 CHEM3120 CS22 ECMT2130 MAST30011 ADSPBF706 CENG0013 ACCOUNTING BUSS1040 CHEM 181 MAT136H1 GY 6183 COMP3170 AGRI90089 PHYSICS 1002 ECON10003 IEOR E4004 ACS61012 MATH 40550 MKTG2113 TELE4653 ENSC1004 ECE 232E MK726 MTRX2700 SHEET 3 CSCA08 COMP30027 Math 2XX3 statistic MMAN3200 BISM7213 ECMM109 ECON 2022 FNCE 20005 GR5067 CSCB09 ME 3017 CS 5100 PHYS 2903 COMS 4771 COMP222 COMP 1046 CSC148H1 ISYS2038 FINS2615 OT5206 COMP2048 A6 MECH5770M MA826/20 CMPT 726 STA457 INFS6071 INFS588 integral ECON 216 IRDR 0017 MA323 PA 15213 PSYC2001 ENV222 Statistics ACCT5930 ACCT12 LAND2121 ME 5405 COMM1180 TELE3113 A7 ECE 568 ACCT2019 INFS1200 ENGG1340 CS 1400 ASST3 FINM7409 SWEN30006 INFO2222 FIN20150 SOSS1000 CSSE7231 FINS5513 COMS3200 CECN 702 ECON4060H MN3515 HW2 PSYA02H3 ECON 2112 COMP90051 CS 1652 MA30059 AF1605 MKTG7501 ECO-6003B COM4521 CTM ECON3350 COMP 3804 ELEC9762 BISM 7255 ST22 MATH20014 MNE3122 COMP343 MATH5165 ELE7029 ENGR30002 SEEM3500 ECON7350 RISK5002 FINM7405 COMP90059 MOS 3320B STAT 431 BISM7221 MATH3014 MTH783P EBA 35302 ACS133 BUS2206 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