The course covers the use of database and spreadsheet tools to organise and query statistical
data, programming in an advanced statistical package for file management, data manipulation and
cleaning; methods for data screening, cleaning, graphical displays and data analysis using a range
of statistical procedures; creation of data analysis reports using modern statistical and graphical
methods. The course is based around Microsoft Access and Excel as well as the SAS statistical
analysis system and programming tools. Knowledge and skills developed will be generic and
applicable to a range of modern statistical software tools.

这是一份unsw新南威尔斯大学MATH28711的成功案例

ods select datascoresmc;
proc npar1way data=ds;
class female;
var age;
exact scores=data / mc n=9999 alpha=.05;
run;
ods exclude none;
One-Sided Pr >= S
Estimate 0.1841
95% Lower Conf Limit 0.1765
95% Upper Conf Limit 0.1917
Two-Sided Pr >= |S - Mean|
Estimate 0.3615
95% Lower Conf Limit 0.3521
95% Upper Conf Limit 0.3710
Number of Samples 9999
Initial Seed 600843001

MATH2871 COURSE NOTES ：

ods select datascoresmc;
proc npar1way data=ds;
class female;
var age;
exact scores=data / mc n=9999 alpha=.05;
run;
ods exclude none;
One-Sided Pr >= S
Estimate 0.1841
95% Lower Conf Limit 0.1765
95% Upper Conf Limit 0.1917
Two-Sided Pr >= |S - Mean|
Estimate 0.3615
95% Lower Conf Limit 0.3521
95% Upper Conf Limit 0.3710
Number of Samples 9999
Initial Seed 600843001