#### Probability sampling with application,advantages and disadvantages

Probability sampling is based on the concept of random selection where each Simple Random Sampling elements have non-zero chance to be occurred as sample. Sampling techniques can be divided into two categories: probability sampling and non-probability sampling. Randomization or chance is the core of probability sampling techniques.

Probability sampling.statistical aid |

For example, if a researcher is dealing with a population of 100 people, each person in the population would have the odds of 1 out of 100 for being chosen. This differs from non-probability sampling, in which each member of the population would not have the same odds of being selected.

### Different types of probability sampling

**Application of probability sampling**

- In opinion poll, a relatively small number of persons are interviewed and their opinions on current issues are solicited in order to discover the attitude of the community as a whole.
- At border stations, customs officers enforce the laws by checking the effects of only a small number of travelers crossing the border.
- A departmental store wises to examine whether it is losing or gaining customers by drawing a sample from its lists of credit card holders by selecting every tenth name.
- In a manufacturing company, a quality control officer take one sample from every lot and if any sample is damage then he reject that lot.

**Advantages**

- Creates samples that are highly representative of the population.
- Sampling bias is tens to zero.
- Higher level of reliability of research findings.
- Increased accuracy of sampling error estimation.
- The possibility to make inferences about the population.

**Disadvantages**

- Higher complexity compared to non-probability sampling.
- More time consuming, especially when creating larger sample.
- Usually more expensive than non-probability sampling.

**Cluster sampling**

**Advantages**

**Disadvantages**

**Application**

How to analyze data using SPSS (for beginners)-part 1

How to analyze data using SPSS (part-2), how to input data in SPSS

How to analyze data using SPSS (part-3), how to import data in SPSS from excel file

__How to analyze data using SPSS (part-4), how to sort data in SPSS__

__How to analyze data using SPSS ( part-5) how to merge file in SPSS?__

How to analyze data using SPSS ( part-6), how to merge file in SPSS

How to analyze data using SPSS (part-7), Finding missing values, Replacing missing values, Coding missing values in SPSS

How to analyze data using SPSS (part-8), variable transformation, Recoding variables in spssUnivariate Analysis (data analysis using spss part-9)

Bivariate analysis| How to analyze data using spss (part-10)

Normality check| how to analyze data using spss (part-11)