Here is the best ever presentation on what is bias and the types of bias. In this Presentation, we have discussed the most important types of bias in statistics

1. STAT ANALYTICA
WHAT IS BIAS IN
STATISTICS? ITS
DEFINITION AND
TYPES
www.statanalytica.com

2. Call Tutors
What We Will Learn
Today
Definition
The most important statistical bias types
Selection bias
Self-Selection bias
Recall bias
Observer bias
Survivorship bias
Omitted Variable Bias
Cause-effect Bias
Funding Bias
Conclusion

3. Call Tutors
Bias in statistics is a term that is used to refer to any type
of error that we may find when we use the statistical
analyses. We can say that it is an estimator of a
parameter that may not be confusing with its degree of
precision. It is the tendency of statistics, that is used to
overestimate or underestimate the parameter in
statistics. There are several reasons to raise bias in
statistics. One of the primary reasons for this is the
failure to respect either the comparability or
consistency. Let A be a statistic used to estimate a
parameter θ. If E(A)=θ +bias(θ)} then bias(θ)} is called the
bias of the statistic A, where E(A) represents the
expected value of the statistics A. If bias(θ)=0}, then
E(A)=θ. So, A is an unbiased estimator of the true
parameter, say θ.
Overview

4. Here are the most important types of bias in statistics. There are
lots of bias in statistics. It is quite tough to cover all the types of
bias in a single blog post. Therefore I am going to share with you
the top 8 types of bias in statistics. These biases usually affect
most of your job as a data analyst and the data scientist. If you
want to be one of them, then stay tuned with us. Let’s explore the
top 8 types of bias in statistics.
THE MOST IMPORTANT STATISTICAL
BIAS TYPES

5. Camping Survival Tips Presentation
TYPES OF BIAS
SELECTION BIAS SURVIVORSHIP BIAS
SELF-SELECTION BIAS
RECALL BIAS
OBSERVER BIAS
OMITTED VARIABLE
BIAS
CAUSE-EFFECT BIAS
FUNDING BIAS

6. Call Tutors
Selection bias
When you are selecting the wrong set of data, then
the selection bias occurs. It can be done as you are
trying to get the sample from the subset of your
audience apart from the entire set of the audience.In
this way, the calculation you may perform will not
indicate or represent the whole population data.
There are plenty of other reasons behind the
selection bias, but the primary reason for this is,
collecting the data from the easy to access source.
Thus every time the data may obtain from the wrong
source.

7. Call Tutors
Selection bias
Selection bias also has the subcategory, i.e., the self-
selection bias. It is just like the selection. In this, you
may let the analyses subject to select themselves.
Suppose that in a group of people, you allow people
to choose themselves based on some criteria. In the
self-selection bias, there is a possibility that lazy
people may not choose themselves or considered
themselves as part of the group. Because it is based
on a specific behavior.

8. Call Tutors
Recall bias
This type of bias in statistics usually occurs in
interview or survey situations. As the name suggests
that it is based on the memory power of the
respondent. In the interview time, when the
responder doesn’t remember everything correctly,
then this situation emerge the recall bias.It is the
typical scenario that we remember something, and
we forget something in quick sessions. Beside, it is
tough for us to remember all the things we have
seen, read, listen, or watched. It is usual for us, but
when we do the survey, then it makes the survey an
overwhelming process.

9. Call Tutors
Observer bias
Observer bias is a pretty common bias. Because
most of the time, the researcher subconsciously
projecting his/her expectation from the research
that it will be going to happen with this research. I
mean to say that the researcher also tells others
about their projection in many forms. For instance,
influencing other participants, making some serious
conversation. All these lead to observer bias.

10. Call Tutors
Survivorship
bias
When we need to perform the statistical operation
on the pre-selection process. In this type of bias, the
researcher focuses only on the specific part of the
data rather than the entire set of data. It was also
missing those data-points that are not visible
anymore and also fell off during this process.

11. Call Tutors
Omitted
Variable Bias
Sometimes we miss the most crucial element from
the model of our research. In this case, the omitted
variable bias occurs. This bias leads to predictive
analytics.

12. Call Tutors
Cause-effect
Bias
Cause-effect bias is one of the most critical biases
for decision-makers. But most of the decision-
makers are not aware of it. It is based on the simple
formula that correlation does not imply causation.

13. Call Tutors
Funding Bias
The funding bias is also known as sponsorship bias.
When the scientific study results are biased in favor
of financial sponsor of the research, then funding
bias occurs.

14. Call Tutors
Conclusion
There are a lot more types of bias in statistics.
But we have covered the most crucial one. Now
it might be clear in your mind that what is bias
and how it occurs in statistics.If you need any
help regrading the bias in statistics then you
can get into touch with our experts. They will
solve all your queries as soon as possible. Also
get the best excel homework help from the
experts at nominal charges.

15. Follow us on Social Media
TWITTER
@statanalytica
FACEBOOK
@statanalytica
PINTEREST
@statanalytica

16. Get in Touch With
US
WE ARE AVAILABLE AT
WEB ADDRESS
https://statanalytica.com
EMAIL ADDRESS
Info@statanalytica.com