2018	Semester 2	Male	28	Fail
2018	Semester 2	Female	28	Fail
2018	Semester 2	Male	42	Fail
2018	Semester 2	Female	43	Fail
2018	Semester 2	Female	44	Fail
2018	Semester 2	Female	46	Fail
2018	Semester 1	Female	50	Pass
2018	Semester 1	Male	50	Pass
2018	Semester 2	Female	50	Pass
2018	Semester 2	Female	57	Pass
2018	Semester 1	Male	62	Pass
2018	Semester 2	Male	62	Pass
2018	Semester 1	Male	64	Pass
2018	Semester 1	Male	64	Pass
2018	Semester 1	Female	65	Credit
2018	Semester 1	Male	66	Credit
2018	Semester 2	Female	66	Credit
2018	Semester 2	Male	67	Credit
2018	Semester 1	Female	68	Credit
2018	Semester 1	Female	71	Credit
2018	Semester 2	Female	72	Credit
2018	Semester 2	Male	72	Credit
2018	Semester 2	Female	72	Credit
2018	Semester 1	Female	73	Credit
2018	Semester 1	Female	77	Distinction
2018	Semester 2	Female	77	Distinction
2018	Semester 1	Female	78	Distinction
2018	Semester 1	Female	79	Distinction
2018	Semester 1	Female	80	Distinction
2018	Semester 1	Male	82	Distinction
2018	Semester 2	Female	82	Distinction
2018	Semester 1	Male	84	Distinction
2018	Semester 2	Male	84	Distinction
2018	Semester 1	Male	86	High Distinction
2018	Semester 1	Male	86	High Distinction
2018	Semester 2	Male	91	High Distinction
2018	Semester 1	Male	95	High Distinction
2018	Semester 2	Male	96	High Distinction

a)Descriptive Statistics - use descriptive statistics and data visualization techniques such as measures of central tendency (mean, median, mode), variation (range, variance and standard deviation) and shape (box plots, histograms, frequency tables, etc.), summarise and compare data. For example, you can compare two different years or two different semesters or different genders

Hint: watch the video of Use data analysis toolbox of excel (on module6)

b) Confidence interval estimates for the mean/proportion and/or confidence interval for the difference between two means. State the assumptions clearly c) Hypothesis testing for the mean/proportion and/or the difference between two

Means. State the assumptions clearly