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SCIE4401 Data Use in Science
创建日期：2024-07-30 17:58:24
所属分类：统计学statistics
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.  

To get to the relevant website you can follow the link: https://www.mla.com.au/prices-markets/market-reports-prices/.  

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.


You should report the results of the steps you have taken in the analysis. You should also report summary tables of results.  As the data comes from 4 markets (i.e. you have 4 samples) you have been asked to provide analysis for multiple comparisons using the Holm adjustment, as well as one not undertaking any adjustment for multiple corrections.  You should make it clear what the implications are of using these two approaches, and which set of results you have based your final conclusions on and why.  You will make clear short statements about your research findings.  Your objective at the end of this section is to make sure the reader understands whether or not there are any differences in the group means that are statistically significant.

Discussion/ Conclusion (marks 10)

This will be perhaps three or four sentences.  In this section your objective is to take the detail from the results section and translate this detail into a form that matches the research objective stated in the introduction.  


In the sections on Methods and Results, 50% of the available results will be allocated to the clarity of your discussion and presentation.  Brief dot points, and simple reporting of outputs from R are not sufficient here.  You have to show that you can communicate what you have done, and the interpretation of results.


Structure of report

The general structure of the report should follow the same style as the “mock answer” provided for Assessment 2.  It should not be more than 2 pages long.  


In addition to the 2 pages you should include an Appendix that contains the R script that can exactly reproduce the figure/results reported in the text.  


You should also include the results in the Appendix  from running a summary() command on the data frame.


Failure to include the appendix will mean it’s difficult to give discretionary marks if you make an error somewhere. You should also include the standard assignment cover sheet.  The entire report should be submitted online as a single pdf document.  A hard copy can be submitted the following day, but the online version is the official version.


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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 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