Table of Contents
- 1 What is the meaning of finite population?
- 2 What is finite population sampling?
- 3 Which technique is generally followed when the population is finite?
- 4 How do you sample a finite population?
- 5 What is finite population correction in statistics?
- 6 Which one of the following is not a probability sampling method?
- 7 When to use the finite population correction factor?
What is the meaning of finite population?
A finite population is a collection of objects or individuals that are objects of research that occupy a certain area. It clear boundaries that distinguish these population groups from other populations. For example, doing research in college Y, then college Y is the population.
What is finite population and infinite population?
A population is called finite if it is possible to count its individuals. The number of units in a finite population is denoted by N. Thus N is the size of the population. Infinite Population. Sometimes it is not possible to count the units contained in the population.
What is finite population sampling?
Finite population sampling typically begins with simple random sampling (SRS), the simplest form of sampling design, which can be considered with replacement or without replacement. In general, an infinite population approach to sampling has been developed that is based on superpopulation models.
How do you find finite population?
Z = Given Z value. p = Percentage of population. C = Confidence level. Pop = Population….Sample Size Formula for Infinite and Finite Population.
| Formulas for Sample Size (SS) | |
|---|---|
| For Infinite Sample Size | SS = [Z2p (1 − p)]/ C2 |
| For Finite Sample Size | SS/ [1 + {(SS − 1)/Pop}] |
Which technique is generally followed when the population is finite?
Solution(By Examveda Team) Systematic sampling technique is generally followed when the population is finite.
How do you find a finite population?
FPC = ((N-n)/(N-1))1/2
- N = population size,
- n = sample size.
How do you sample a finite population?
Since it not possible to survey the whole population, we take a sample from the population and then conduct a survey or research….Sample Size Formula for Infinite and Finite Population
- SS = Sample size.
- Z = Given Z value.
- p = Percentage of population.
- C = Confidence level.
- Pop = Population.
What is a finite population multiplier?
A factor used to correct the standard error of the mean for studying a population of finite size that is small in relation to the size to the sample.
What is finite population correction in statistics?
The finite population correction (fpc) factor is used to adjust a variance estimate for an estimated mean or total, so that this variance only applies to the portion of the population that is not in the sample.
Which sampling technique is generally followed when the population is homogeneous?
Simple random sampling is most appropriate when the entire population from which the sample is taken is homogeneous.
Which one of the following is not a probability sampling method?
What are the types of Random or probability sampling? Under …….. …. sampling method, the samples are selected non- randomly according to some fixed quota….
| Q. | Among the following methods which is not the non-probability sampling method? |
|---|---|
| A. | Convenient sampling |
| B. | Quota sampling |
| C. | Judgement sampling |
| D. | Systematic sampling |
Which is more advantageous the infinite population or the finite population?
The finite population is more advantageous than the infinite population for statistical analysis. The objective of the statistics is to estimate the parameters of a finite population. 1. A number of vehicles that pass through a toll gate. 2. A number of births per year in a particular state. 3. A number of words in a page. 4.
When to use the finite population correction factor?
When a sample is selected without replacement then from a finite population of more than 5%, then the finite population correction factor is used. n is the size of the sample. 1. It is easily countable.
When is a random sample selected from a finite population?
When a random sample is selected from a finite population with replacement, each consecutive value does not depend on the previous values. So, the obtained sample is an independent random sample. If the random sample is selected from a finite population without replacement, the consecutive value depends on the previous values.