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PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20141126T144205Z
DTSTART:20141216T100000Z
DTEND:20141216T163000Z
SUMMARY:CMIST Short Course :: Intermediate :: Statistics for Small Sample
s
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}kh7-i1xgadv
7-ltpcax
DESCRIPTION:The course aims to cover bivariate statistical tests for a va
riety of situation. The basic material of t-test is enriched by adding m
ethods for the comparison of the distribution (or a mean) in cases where
the variable is not normally distributed. The word ‘parametric’ is cove
red so that nonparametric approaches generally can be taken up confident
ly.\n\nThe course is at an intermediate level\, in the following sense:
we hope all participants will read about (or review) the Chi Squared tes
t in preparation. We then move to the small-samples variant of this test
\, and other tests for varying situations. Time permitting\, we also cov
er the Kolmogorov-Smirnov 2-sample test\, the Kruskal-Wallis test\, the
median test and Spearman’s coefficients\, and one other test statistic.\
n\nThe participants learn to critically assess the validity of claims to
statistical inference (from sample to population) in small-N and medium
-N situations. Helpful examples are provided in the form of primary surv
ey data from the Young Lives Programme data on care-givers of children b
orn in the year 2000 in four countries\, and from a large employment dat
aset.
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:Basement Lab\, Humanities Bridgeford Street\, Manchester
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