SAP HANA Predictive Analysis Library (PAL)

CALL DM_PAL.PAL_CHISQTESTIND_PROC(PAL_CHISQTESTIND_DATA_TBL, #PAL_CONTROL_TBL,
PAL_CHISQTESTIND_EXPECTEDRESULT_TBL, PAL_CHISQTESTIND_STATVALUE_TBL) WITH
OVERVIEW;
SELECT * FROM PAL_CHISQTESTIND_EXPECTEDRESULT_TBL;
SELECT * FROM PAL_CHISQTESTIND_STATVALUE_TBL;
Expected Result
PAL_CHISQTESTIND_EXPECTEDRESULT_TBL:
PAL_CHISQTESTIND_STATVALUE_TBL:
3.7.3 Cumulative Distribution Function
This algorithm evaluates the probability of a variable x from the cumulative distribution function (CDF) or
complementary cumulative distribution function (CCDF) for a given probability distribution.
CDF
CDF describes the lower tail probability of a probability distribution. It is the probability that a random variable
X with a given probability distribution takes a value less than or equal to x. The CDF F(x) of a real-valued
random variable X is given by:
F(x)=P[X≤x]
CCDF
CCDF describes the upper tail probability of a probability distribution. It is the probability that a random
variable X with a given probability distribution takes a value greater than x. The CCDF
random variable X is given by:
=P[X>x]=1-F(x)
of a real-valued
Prerequisites
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The input data is numeric, not categorical.
The input data and distribution parameters do not contain null data. The algorithm will issue errors when
encountering null values.
500 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
PAL Functions