2017	Semester 2	Male	3	Fail
2018	Semester 2	Male	28	Fail
2017	Semester 2	Male	35	Fail
2018	Semester 2	Male	42	Fail
2017	Semester 1	Male	50	Pass
2018	Semester 1	Male	50	Pass
2017	Semester 2	Male	51	Pass
2017	Semester 1	Male	52	Pass
2017	Semester 1	Male	57	Pass
2017	Semester 2	Male	61	Pass
2017	Semester 2	Male	61	Pass
2017	Semester 1	Male	62	Pass
2018	Semester 1	Male	62	Pass
2018	Semester 2	Male	62	Pass
2017	Semester 2	Male	63	Pass
2018	Semester 1	Male	64	Pass
2018	Semester 1	Male	64	Pass
2017	Semester 2	Male	66	Credit
2018	Semester 1	Male	66	Credit
2018	Semester 2	Male	67	Credit
2017	Semester 1	Male	71	Credit
2018	Semester 2	Male	72	Credit
2017	Semester 2	Male	74	Credit
2017	Semester 2	Male	76	Distinction
2017	Semester 1	Male	77	Distinction
2017	Semester 2	Male	77	Distinction
2017	Semester 1	Male	78	Distinction
2017	Semester 2	Male	80	Distinction
2018	Semester 1	Male	82	Distinction
2017	Semester 1	Male	83	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
2017	Semester 2	Male	94	High Distinction
2017	Semester 2	Male	94	High Distinction
2018	Semester 1	Male	95	High Distinction
2017	Semester 2	Male	96	High Distinction
2018	Semester 2	Male	96	High Distinction
2017	Semester 1	Male	97	High Distinction

2018	Semester 2	Female	28	Fail
2018	Semester 2	Female	43	Fail
2018	Semester 2	Female	44	Fail
2018	Semester 2	Female	46	Fail
2017	Semester 1	Female	50	Pass
2017	Semester 1	Female	50	Pass
2018	Semester 1	Female	50	Pass
2018	Semester 2	Female	50	Pass
2018	Semester 2	Female	57	Pass
2017	Semester 2	Female	58	Pass
2017	Semester 1	Female	63	Pass
2017	Semester 1	Female	63	Pass
2017	Semester 1	Female	65	Credit
2018	Semester 1	Female	65	Credit
2018	Semester 2	Female	66	Credit
2018	Semester 1	Female	68	Credit
2018	Semester 1	Female	71	Credit
2017	Semester 2	Female	72	Credit
2018	Semester 2	Female	72	Credit
2018	Semester 2	Female	72	Credit
2017	Semester 1	Female	73	Credit
2018	Semester 1	Female	73	Credit
2017	Semester 1	Female	76	Distinction
2018	Semester 1	Female	77	Distinction
2018	Semester 2	Female	77	Distinction
2018	Semester 1	Female	78	Distinction
2017	Semester 1	Female	79	Distinction
2017	Semester 2	Female	79	Distinction
2018	Semester 1	Female	79	Distinction
2017	Semester 1	Female	80	Distinction
2018	Semester 1	Female	80	Distinction
2017	Semester 1	Female	82	Distinction
2018	Semester 2	Female	82	Distinction
2017	Semester 2	Female	83	Distinction
2017	Semester 2	Female	86	High Distinction
2017	Semester 2	Female	86	High Distinction
2017	Semester 2	Female	87	High Distinction
2017	Semester 1	Female	89	High Distinction
2017	Semester 1	Female	90	High Distinction
2017	Semester 2	Female	94	High Distinction
2017	Semester 1	Female	95	High Distinction
2017	Semester 2	Female	97	High Distinction
2017	Semester 1	Female	98	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

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

+ 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. I am comparing Genders. Thankyou