SSC 2020 Exam Syllabus - Paper III Statistics

Updated on 15 February 2020

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Updated on 15 February 2020

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SSC online notified the detailed syllabus for paper III. There are SSC 2020 online tests available which help candidates to boost their score through regular practice.

Random Variable and Probability Distributions

Here the outcome is observed by studying the nature of a random variable over a random experiment.
It is a statistical term using the concept of probability.
There are two types of random variables: Discrete and Continuous.
The probability distribution of a random variable is defined as the probability of different values observed for a random variable.
The Probability distribution function can be expressed as f(x), where x is the random variable.
Probability distribution of a random variable can be of two types: Normal and Binomial

Example: If we toss a coin then the probability of getting head is 1/2.

Explanation: Here tossing of a coin is a random experiment and the probability of getting head or tail is half at each random experiment.

Sampling Theory

Sampling is a statistical process where the study takes place on a large number of data sets.
Here data is collected from a small group of population out of a large set of the population to estimate the characteristics of the whole population.
It is an economical process where data size is large.
It also uses the concept of probability.
Finding out the sample size and sample parameter are the two basic but important parts of the sampling theory.

Process Of sampling:

Identify the population.
Create a sample set from the population.
Define the sample set.
The sample set of population must reflect all the attributes or characteristics of the whole population.
Identify the errors.
Analyze the result.

Types of sampling: