### Recent Question/Assignment

Assessment 3
Assessment Type: Computer assignment — analysis and 1,500 + 10% word report — individual assessment.
Purpose: To allow students to demonstrate an understanding of statistical analysis and the ability to summarise and manipulate sample data, make basic statistical inferences and interpret the results in a business context. This assessment contributes to learning outcome a, b, c and d.
Value: 25% (Preparation quizzes 5% and Word file, Excel file 20%)
Due Date: 5:00 pm Friday of Week 10
Submission: Preparatory Quizzes — access and submit via Moodle links. An excel file with a unique dataset and summaries of the dataset. A word file with answers to questions about the summaries of the dataset and questions about some videos that discuss why statistics is useful.
Task Details: Each individual student will be provided with their own unique dataset and they will have to summarize the dataset using PivotTable and Scatterplot command using Microsoft Excel.
Students will also download questions about their summaries from Moodle, students will have to comment on the summaries and use the summaries to find confidence intervals and perform hypothesis tests. Students will also watch videos discussing why summarizing datasets is useful in business and briefly describe the content of the video.
Preparatory Quizzes: Before you start summarizing your dataset, you need to do the Preparatory Quizzes to ensure you are familiar with the concepts and techniques involved. You may attempt the Quizzes as many times as you like — each new attempt will overwrite the previous attempt. Only the last attempts will be marked.
Marking Guide: Preparatory Quizzes: worth a total 5% of the final grade — individual marks will be identified with each quiz in Moodle. Discussion of a sample repot worth 20% of the final grade. The marking rubric is given on the next page.
Marking Rubric Assessment 3: Computer assignment 25%
Criteria Fail
(0 - 49%) Pass
(50 - 64%) Credit
(65 — 74%) Distinction
(75 - 84%) High Distinction (85 - 100%)
Discuss videos explaining why it is useful to summarize datasets in business
alue 10% No real discussion of e content of the
deos Sone reasonable discussion of the content of the videos Good discussion of the content the videos but no real discussion of why statistics is useful in business A Good discussion of the content of the videos induding a discussion of why statistics is useful in business Excellent discussion of the ntent of the videos including detailed discussion of why tatistical techniques are useful in business
Presentation and use of sample data
alue 30% Provide irrelevant or inaccurate numerical summaries and use
summaries inappropriately in he discussion Some parts of numerical summaries are accurate and use proper numbers and heory in the discussion of usage Most parts of numerical summaries are accurate and ood selection of numbers and theory in the discussion f usage Very minor error in numerical summaries and use appropriate numbers and theory in the discussion of usage ummaries and have xcellent knowledge of heory in the discussion of usage of the ummaries.
pplication of basic statistical inferences and interpretation of the results in a business context
alue Inability to apply inferential statistics appropriately in a business situation and make completely irrelevant decision poor attempt at providing relevant statistical inference appropriate summaries and inferential statistics however the ppropriate discussion is missing Soundly justified conclusion drawn and use of proper inferential statistics to solve a business problem pplied the most ppropriate inferential tatistics for a business ituation and make an xcellent decision with orrect justification
Use of statistical software packages for data analysis Not much idea or many serious mistakes made in using statistical software Mistakes made such as in inding sums of categorical ariables Minor mistakes such as not understanding that when a omputer is using a percentage format entering
0.07 will be interpreted as 0.07% Almost no mistake made when using software for data analysis Excellent use of statistical software for data analysis
pplication of skills identifying problems and solution strategies
alue 10% forNo skills displayed Some minor demonstration of skillsskills Some demonstration of the Extensive demonstration of the skills ery extensive emonstration of the skills
Presentation skills (Assignment design and use of written communication)
alue 10% Poor articulation of solving a business problem cceptable presentation, obvious errors in demonstration and lack of attention to details Good presentation and esign overall but a few rrors Professional presentation and design with no or very minor error in some elements Highly professional presentation and design, atisfies all presentation lements to a standard nd able to be offered to a reputable academic publication
otal Mark: