In this issue:
To unsubscribe please use the contact
form and select "Unsubscribe from
The downturn in the economy makes the advantages
of online learning more
compelling than ever. Companies can use e-learning
to avoid the costs of
travel and lost productivity. Employees can enhance
their skill base to
become more attractive to employers. Wise companies
will also use some of
spare capacity to improve their processes and
become as efficient and
competitive as they possibly can.
In order to help coping with the recession
we have created a new special that allows
of our courses and receive $90 off the
combined individual prices. This is separate
to our standard packages with discounts for both
statistics, both SPC, or both DOE courses. So
if you would like to take, for example, DOE and
MSA courses, you will save $90. If you enroll
before Christmas you can also take advantage
of our second special - 2 weeks extra free of
charge. See the relevant Promotional Codes below.
Off on Any 2 Courses till January 15
or Any Other
2 Courses of Your Choice
Promotional Code IN90
Weeks Extra FREE till December 24
Any Course or Package
Promotional Code FE08
We are currently reworking our Advanced
Statistics course. Many of the
students who take this course work in scientific
research or healthcare. We are adding more material
hypothesis testing and nonparametric tests,
exercises and case studies. We will also divide
the course into a number of separate
modules so people can select the topics they
need thus saving some money.
We will be releasing a PDF version of our
Six Sigma and Quality Glossary (available
online at: http://www.micquality.com/six_sigma_glossary/index.htm)
in January. Apart from the electronic version we
will be offering
printed versions in standard and pocket sizes.
We are also exploring options for publishing all
our reference materials in a book form.
If you are interested in getting a copy of the
Glossary or the complete Reference book please
let us know. The cost will depend on the format
and how much interest we will get.
Most types of hypothesis
test require that the population
conforms to a particular distribution, usually
the normal distribution. Where this is not
the case a nonparametric test can be used.
Nonparametric tests make no assumptions about
the type of distribution (although they may require
symmetry, or some other property). The disadvantage
is that nonparametric tests are not as efficient;
for a given data set the nonparametric test will
give a higher p-value.
Nonparametric Tests include:
tests include ANOVA,
the t test,
the F test and
will come out in February 2009.
Due to Victorian bushfires
there will be no update in February.