confidence interval estimates for the mean/proportion and/or confidence interval for the difference between two means

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

You are provided with an Excel file entitled “BUSN1009 Quantitative Methods Assignment Data”, which is available in FLO now. The data are about marks and grades of a SAMPLE of students in a big course. The main variables include: “Year”, “Gender”, “Semester”, “Mark”, and “Grade”. For this assignment assume that the number of ALL students in the course is much larger than the number of students in the sample data provided to you. You need to apply what have you learnt in BUSN1009 Quantitative Methods and write a report about your findings after analysing the sample data. Your assignment should comprise the following sections:

i) Descriptive Statistics – measures of central tendency, variation and shape (you might want to consider measures such as mean, mode, median, range, standard deviation, variance, box plots, histograms, frequency tables, etc.) [25% of your assignment mark]

ii) Confidence interval estimates for the mean/proportion and/or confidence interval for the difference between two means [25% of your assignment mark]

iii) Hypothesis testing for the mean/proportion and/or the difference between two means [25% of your assignment mark] Please note that the finished assignment should be presented as a report with the appropriate measures selected, rationale for the selection of those measures, clearly stated hypotheses and the associated tests. You will be graded based on both the statistical analysis and the quality of your writing. The assignment must be clearly written; any diagrams, charts, tables etc. must be clearly labelled and explained in your text and any equations defined and explained. Apart from the statistical analysis, you will also be graded based on your writing and communication abilities to a broader audience [25% of your assignment mark]. Your arguments and the clarity with which you explain and illustrate the relevant findings are very important

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