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SCIE4401 Data Use in Science
创建日期：2024-07-16 16:56:24
标签： SCIE4401
Data Use in Science

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SCIE4401 Data Use in Science

Assignment Three

Data sets

You have to download the data for this assignment from the Meat and Livestock Australia website: see below.

Submitting Assignment THree

Your assignment is to be uploaded on the LMS.  Please make sure you include an assignment cover sheet as the first page of the Assignment.  Upload it as a pdf.


Assignment Due Date

The assignment is due by Sunday 8th September, 11:55pm.    

Assignment content

All figures and tables must be appropriately formatted with axis labels etc.  An example of an appropriate figure was provided with Assignment 2.  An example of an appropriately formatted table is provided below, but with generic information included.  

Table 1:  Pairwise t-test results (p-values)

Location 1Location 2Location 3

Location 1Value 1--

Location 2Value 2Value 4-

Location 3Value 3Value 5Value 6

Note: p-values have been adjusted to control the familywise Type ## error rate using the ##### method.

General Marking matters

The question will be marked out of 100.  All figures and tables must not only be appropriately formatted, but must also be set at an appropriate scale.  

Alpha level

Use an alpha value of 0.10 for all hypothesis testing.


Question 1

The research question

There is economic theory that suggests that prices in different markets in different regions should be related to each other, otherwise someone can make money by trading between markets.  But there are other factors at play as well, including transport costs, and local market conditions.  You have been asked to undertake some analysis about whether, on average, the prices  being paid for live cattle is different in 4 different markets in Australia, and, if they are statistically different, which markets you would assess as having statistically significant higher prices, and which tend to be lower.  

Because your client has some training in statistics, they have asked for the analysis to be conducted with some specific requirements. The alpha level that you have to use is 0.1.  You also have to report the results of comparisons between markets using a Holm correction for multiple comparisons and also, not using any adjustment for multiple corrections.


Data set

There is no data set provided.  You are required to obtain the data directly from the Meat and Livestock Australia website.  

There is a very clear requirement of which data you have to use.  


You should conduct the analysis using weekly cattle prices for the years 2018 for the following four markets:

Armidale

Dubbo

Wagga

Finley

There are several different types of cattle traded: you one need is

yearling steers.

There are different weights of steers: You want the

330-400kg

There are also several different prices reported: you need

$/head


There are some criteria which should be switched to All: Sales prefix, Muscle score, Fat score


A brief video on how to download the data is included in LMS.  

You need to watch this as it’s an important guide to showing you how to download the right data.

You need to download the relevant data into excel format for each of the towns. Then edit the data so you get the right time period.  Then combine the results for each town into a single file  it so that it can be used in the analysis, and then saved as a CSV file.


Structure and marks

20 marks out of 100 will be based on your generating the correct data set.


Your research report should provide an analysis about how average prices differ across the 4 markets.


The format of your report should be as follows (marks out of 100 reported):

Introduction (marks 10)

One or two sentences that state the purpose of the report.  Your objective for this section is to leave the reader with a clear impression of what is to follow.  The section should be sharp and focused.  Original research is not required, you just need to restate the key information provided in the question.


Methods  (marks 20)

This section is a little different to what a methods section would look in a traditional paper.  For this question you can state the data source; the testing approach that you have used; the alpha level used for each test; the method of adjustment used for multiple comparisons etc.  Your objective for this section is to ensure the reader is convinced you have followed a logical approach to testing.

Results (marks 40)

This will be the main section of your response.  Report details in a table of the mean and standard deviation and number of observations of the prices, for each of the markets, in a well formatted table.  Here you will also include an exploratory figure.


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关键词一 关键词二 关键词三 关键词四 关键词五 和法规和的发更好的风格和 ECON 615 FINC 612 CSC148 COMP 639 ACCT 203 ACCT 211 PSYC 101 MTH2009 COMP52315 PSYCO 432 statistics MATH4063 11 xxx 1 MA1MSP MAST30028 MATH3888 CS341 EEE30002 ES2F5 MCD4160 CC0933 ECON 1101 MCHM3001 CHEM3118 COMMGMT 2511 COMP41280 STAT 631 24T1 IRE379 SENG365 ECON433 FIT3139 MATH4602 LING5621M FINS5516 ECON3208 MN2177 L2 SM EEET1415 Finance DS4023 COMP3004 7CCSMRTS K1S5B6 Stat230 CSCI4211 CSI2132 ECON30130 MAS6100 ENVS222 COM2107 INFO1112 STAT 4004 FIT2100 comp2022 COMP4691 Physics 307 Econ 659 probability CSCI316 fir29 CSCI203 COMP3160 COMP6714 INFO1113 Physics 7B Physics Photonics S203031 STAT2005 COMP90015 CSCI 2110 CSCC46 Information CSC477 COMP4650 Statistical COMP 346 COMP1017 ELEC340 MATH1007 Programming function STAT 244 CS 134 Java cse13s Math 108A FW20 ECON3389 CSE 130 Science 331 COMP9020 engineering COSC 445 CSE 5523 GAME2012 visualization MATH 235 Math 370 CSC343 COGS 108 EE524 COMP10200 STAT 416 3FK4 MSCI 311 ECON6113 ACC40700 EMESTER1 MAS8383 ECO 512 STAT 8310 CMN3102 MA577 CMPT 225 COMP0045 Methods Equations MATH 113 Math 3283W ICS-33 EN4302/ENT603 BIA B350F MA318 MTHM506 MECH 5315M ECONOMICS MAS8382 COM 2004 PX3142 XJEL 3662 STAT 231 MGT B399F PX4131 COM2108 30AM MSCI521 ECONM1015 ACFI304 GR5241 MATH10101 ECON 2070 COMS31900 EFIM20011 CSE 250B ACSE-5 STAT4207 SOFT2412 ELEC 331 AY2020 MSIN0209 FIT2094 CS 241L ST404 CS 411 3D CA3 INF4002 COMP3506 SIT718 CS 188 CS 170 MATH 138 CSE 251A CMT118 DATA5207 CMPT307 CMPT459 T1 PGEE11108 COSC 3P32 ME 163 MATH96007 7QQMM203 EE6227 BA 574 STA 4234 ECO206Y1Y ECO2008 MT2300 MATH 11158 CS 527 MACM 316 CSE474 2DI70 ISE 525 COMP3411 EMAT30007 7CCSMBDT MFIN704 MFIN704W21 MfIB ECE 438 CS 436 F36 CS5344 FE 621A FE621 TBA 612 ECM3151 ECMM422 MF1 MSIN0107 ESSMENT CS 5854 MFIT 5008 MIPS R4000 ENG5274 BU52018 ENG2079 BIOA02 STA2570 F0 INF553 STAT 440 STAT3008 COMP9417 COMP6451 6COM1042 BU52006 ST303 HW-1 CISC-235 CS 510 MATH3161 ECN 140 ECE391 Comp 3613 CVEN 9625 PRG455 UESTION 1 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