\fPROJECT: YOUR ROLE Assessment of your work will be based on a report which meets the following conditions: 1. Report. In no more than four A4 pages, present a report of which gives a statement of the aims of the report, background information on the data analysed and four findings on the front page, followed by a statistical appendix that details the analyses you undertook and provides supporting information (e.g. a table or figure) for each of your findings. Have a look at the explanation of report elements as a guide to how you might present your report. We will also provide a marking guide so you can assess how you are doing. 2. Statistical expertise. The only statistical tools which you need are those covered in weeks 1-3, and the only computing tool you need is the EXCEL package. 3. Readership of your report. You are presumed to be the technical expert who is asked to present statistical findings to people who have no background in statistics. With this in mind, the first page of your report should contain aims, background and findings which are understandable by people who have no statistical training. However, you should assume that your report may be read by technical experts who will be checking to see that your conclusions are soundly based, and your calculations are correct. You should include a statistical appendix containing technical information that describes or explains your choice of methods and containing tables/figures to back up each of your findings. Cautionary note: One important feature of the fishing dataset is that it was collected as part of an observational study rather than as part of a designed experiment. We will learn more about this distinction later in the unit but for now the thing to remember is that we can't make claims about cause and effect on the basis of this kind of data. XPD129 Page 1 of 3 semester 2, 2022 OProject 1 - Descriptive Statistics Factors related to quantity and quality of catches of fish The data set FISHING contains data on fishing catch by each of 151 fishing boats working in Tasmania. The variables for which data are recorded are listed below BOAT An identification number for the boats CATCH Amount of fish caught (tonnes) VALUE Total price paid for catches in $1,000 EXPERIENCED Skippers classified as experienced ('yes') or not ('no') AGE OF BOAT Age in two categories - 'new' and 'old' EQUIPMENT General level of fishing gear ('above average' or 'average') SEARCH Equipment for locating schools of fish ('sophisticated' or 'adequate') TIME Total time on spent trips (hours) Your task Consider yourself to be a statistical consultant to the fishing industry who has been commissioned to prepare a report which summarizes and clearly illustrates interesting features of a fishing dataset to board members of Fishing Tasmania. You need to summarize a large data set, extract interesting and useful features of data for your readership and present it in a report with easily read and informative findings backed up with well formatted tables and/or figures. Defining performance One of your first tasks should be to identify or construct variables which measure or define the effectiveness of the operation. Presumably the quantity of fish caught and the value of the catch are important. You may wish to construct a variable which represents the fishing effort. We suggest effectiveness = 1000 * value/time which measures the value of the catch in $ per hour of time away from port.022_S2.pdf X File | C:/Users/Garg%20Computer/OneDrive/Documents/XPD%20129/PROJECT%201/Project1_2022_$2.pdf effectiveness of the operation. Presumably the quantity of fish caught and the value of the catch are important. You may wish to construct a variable which represents the fishing effort. We suggest effectiveness = 1000 * value/time which measures the value of the catch in $ per hour of time away from port. Report structure The front page of your report is written for a non-statistician. It should contain an informative title, aims of the report, background information on the data and findings relative to the data. Avoiding statistical jargon and reference each finding to a table or a figure given in the appendix. On the next page you should have an appendix. In the appendix you should discuss methods, variables used and/or constructed, and give all figures and tables referenced in the findings. Only the figures and tables that have been referenced in findings need to be in the appendix. Each figure and table should well formatted, labelled and given a descriptive caption. All variables in graphs and tables should have descriptive names with units were appropriate. Descriptions in the appendix are written for a technical person and can be written in statistical language when needed. A person should have enough information in the table and/or graph and its caption to check the claim made in the findings. This report should have four findings and it should be no longer than four pages in total. For this report, we want to see in your findings relationships between: two categorical variables, two scaled variables, one categorical and one scaled variable and three variables. XPD129 Page 2 of 3 Semester 2, 2022 Project ! Descriptive StatisticsC:/Users/Garg%20Computer/OneDrive/Documents/XPD%20129/PROJECT%201/Project 1_2024_ Project I - Descriptive Statistics TIMELINE & CHECKPOINTS Week 1/2: Introduce yourself to members of your tutorial group; think about what kinds of variables the fishing dataset contains (i.e. categorical or scaled) and what roles they play (i.e. which are explanatory, response); define any new variables you decide you need. CHECKPOINT 1 Write out four questions about the data that you hope to answer - pick one question that relates two categorical variables, one question that relates a categorical and a scaled variable, one question that relates two scaled variables and a final question that relates to 3 variables (i.e. Do skippers with sophisticated search equipment catch more fish, if so, is the difference consistent for both experienced and inexperienced skippers?). Week 2/3: Use PivotTables and/or scatterplots to explore the data and try and find answers to questions you identified in week 1. As you explore the data you may find other questions that seem more interesting than the original ones you posed in week 1, there is no obligation to stick with the initial questions you had. CHECKPOINT 2 Get a table and/or figure out of Excel and into Word for formatting. Draft at least one preliminary finding along with a supporting table/figure. Week 4: To help with checkpoint 3 you may like to swap a draft of your report with another member of your tutorial group. If you prefer it is also fine to do it as a solo activity. CHECKPOINT 3 Assess your report against the project 1 marking guide. Identify one area where you can improve OR if you think it is perfect post a finding and supporting table that you think deserves full marks. Your responsibility It is fine - encouraged in fact! - to work together with members of your tutorial group "to help each other out with Excel and discuss your findings