Loading....
Coupon Accepted Successfully!

 

Summary

  • Sampling is a process of learning about the population on the basis of samples drawn from it.
  • There are four basic principles of sample survey. They are:
    • Law of statistical regularity
    • Principle of inertia
    • Principle of optimization
    • Principle of validity
  • The deviation between the obtained values of population parameter and its observed values is known as errors.
  • There are two types of errors.
    • Sampling error
    • Non-sampling error
  • For sampling with replacement, the standard error is calculated using the formula
  • For sampling without replacement, the standard error is calculated using the formula
     
    Where,
     
    s is the standard deviation of the statistic
     
    n is sample size
     
    N is the population size
  • The number of samples that can be drawn in case of sampling with replacement is Nn
  • The number of samples that can be drawn in case of sampling without replacement is NCn
  • There are three different methods of sampling. They are:
  • Probability sampling methods
     
    Types of probability sampling methods:
    • Simple random sampling
    • Stratified sampling
    • Multi-stage sampling
    • Systematic sampling
  • Non probabilistic or non-random sampling methods
     
    Some of the important methods are as follows:
    • Judgmental sampling
    • Convenience sampling
    • Quota sampling
    • Mixed sampling
  • Statistical inference is that branch of statistics which deals with the theory and techniques of making decisions regarding the statistical nature of the population using samples drawn from the population.
  • Statistical inference has two branches. They are:
    • Theory of estimation
    • Testing of hypotheses
  • There are two types of estimation. They are:
    • Point estimation
    • Interval estimations




Test Your Skills Now!
Take a Quiz now
Reviewer Name