What is Bias
What is Bias
If a statistics is said to be biased if its calculated in a way such that its slightly different from
the interest of the population. The following statements are not mutually exclusive like
The individuals and the groups are generally more interested to have part in a research
project then others that results in the biased samples.
The bias is the compensation value that can be considered as the difference to the original
value that either subtracted or added. For example Sine function always refers the value
between the range -1 to +1.
If the positive value is needed not negative value then its needed to preserve the function
between the highest and the lowest value mean to say that a bias of one is needed to the
result of the sine function.
Bias Definition can also be explored as fol ows
"A statistical process is cal ed as biased process if the number of the possible outcomes are
not the same and its considered that there is a bias towards more likely possible outcomes."
Know More About :- Answers To Math Problems


Math.Tutorvista.com
Page No. :- 1/4

---

or
"If the possible outcomes are not equal y likely of a dice then the dice is said to be biased if al
the results that could be get are equally likely."
A survey has finished and according to the result "a biased sample is the sample that would
not reflect the whole population but reflects only the samples."
If a survey is carried out outside a bus station about that how people get to work then
definitely the result would be a biased sample because the result and the survey does not
deals with the whole or measure population.
There are a number of biases such as representative bias, quo bias, home bias, familiar bias,
endowment effect bias, mood and optimism bias, overconfidence bias, media and Internet
bias etc.
Sample selection bias is a type of bias that is caused by choosing non random data for the
statistical analysis.
The bias exists because of a flaw in the sample selection process where the subset of the
data is excluded due to a particular attribute of the population. This exclusion could be a
cause for the distorted results.
Survivorship bias is the most common type of the sample selection bias. Basically bias refers
to the meaning that how far the average statistic lies from the parameter.
Biasing deals with the mean error that arises when dealing with the quantity. Errors that are
occurred would cancel each other in the long run that are those bias would not do.
If a police decided to estimate the average speed of the drivers using the fast lane of the
motorway and determine that how it takes place.
Learn More :- Improper Integrals


Math.Tutorvista.com
Page No. :- 2/4

---

One way that could be followed by the police is to tail the cars using the police petrol cars and
then record their speeds as catch the same speed as the police car.
This is the example of to obtain a biased result as no driver can exceeds the speed limit slow
then a police car behind them.
After that the police explores the investigation with the use of an unmarked car and a speed
gun that is operated by the constable. This is the example of unbiased method to measure the
speed of the cars.


Math.Tutorvista.com
Page No. :- 4/4

---

ThankYouForWatching
Presentation

---

Document Outline

• 
• ﾿
• 

---