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T distribution

When we use T distribution?

When we know, population is normal distribution and what we have is only sample.

What is the question to which T distribution answers?

Given a small sample out of population with an assumed/declared
population mean, what is the cumulative probability that another trail that I conduct by taking same sample size of previous sample trail, results in same as earlier sample mean?

Example: I say my population mean is 10 defective bulbs out of 1000.
Let us conduct a test on 30 random samples. Let us say trail shows 12
defective bulbs out of 30 sample size. If I do What is the probability that in next trial we can again have 12 defective bulbs?



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ORE-OBIEE Integration

Let us say I want to have prediction and linear model plots of data table in Oracle having data of height and weight using ORE, to use server memory execution rather than client memory execution and show the result in OBIEE reporting tool.


1. I have ORE in 12c pdb configured with a user, say RUSER2 with RQROLE and RQADMIN roles.
2. OBIEE is configured.
3. Table PRED_TBL is created with height, weight and ID columns.
4. I know R,ORE and OBIEE

Let us start with scripts:

#olm is a ORE script which returns predicted table.
sys.rqScriptCreate('olm', 'function(dat) {

#Creating view which calls olm script with PRED_TBL as input
create or replace view R_PREDICT as
select HEIGHT, WEIGHT, ID,LPRED from table( rqTableEval(
        cursor(select * from PRED_TBL),cursor(select 1 as "ore.con…