A thin line between good statistics and a bad statistics. This presentation gives three questions that you should ask to your data.

1. GOOD DATA VS BAD DATA

3. People now questioning statistics related to government data.
About 4 out of 10 Americans distrust the economic data that gets
reported by government. Among supporters of President Trump it's
even higher; it's about 7 out of 10.
This behaviour of people are categorized in to two types of
people:

4. THE FIRST KIND THE SECOND KIND
These statistics
are crucial, that
we need them to
make sense of
society as a
whole in order to
move beyond
emotional
anecdotes and
measure progress
in a way.
These statistics
are elitist, maybe
even rigged; they
don't make sense
and they don't
really
reflect what's
happening in
people's everyday
lives.

5. WITHOUT DATA
Government cannot make fair
policy if they cannot measure
what is current level of racial
fairness.
1
How can government create a
health policy for poor if they don’t
know how many poor are living in
the country.
2
Immigration data is very useful to
keep track of human outsourcing
and in-sourcing.
3

6. SO, WE NEED THESE NUMBER WITHOUT
BLINDLY REJECTING THEM
WHAT ELSE WE CAN DO TO TRUST ANY
STATISTICS?

8. 1. SPOT UNCERTAINTY
Many statistics which are
communicated in form of
visualisation.
Hence, each one interprets
different meaning
altogether.

9. Therefore, it is important to
remind people about statistical
concepts like averages.
A wrong interpretation of data
causes wrong application.
Learning 1

11. 2. SEE YOURSELF INTO DATA
"How much pee is a lot of
pee?“
"Do people regret their
tattoos?“
"What does it mean to die of
natural causes?“
The point of this isn't
necessarily that every single
data set has to relate
specifically to you.

12. Learning
2
It is possible that the
questions you were
raise don’t have data
to support.
But it is your job to
see how you can
collect data by
putting yourself into
the situation.

14. 3. HOW DATA IS COLLECTED
From where data is collected is
as important as other matters.
Methodology can be opaque
and actually kind of boring, but
there are some simple steps
you can take to check this.

15. A good sample
size representing
all the variables is
must
41% were against
“Jihad” data
collected from 600
people
representing 3
million population.
L
e
a
r
n
i
n
g
3

16. A good manager will always try to
incorporate these questions into his
research. Then and then only he can
arrive at justified solution with
perfectly valid data.
Spotting a good secondary data
source is equally important as primary
data are costly. Try to negotiate your
secondary data provider to get
information about validity of the data.

17. THANK YOU
Prepared by: Abhishek Rana