The type of sampling In which each element of population has equally likely chance of occurrence in a random sample is classified as

The type of sampling in which each element of the population has an equally likely chance of occurrence in a random sample is classified as Simple Random Sampling.

Here are the steps to conduct Simple Random Sampling:

1. Define the population: The first step in simple random sampling is to define the population from which you want to draw a sample. The population should be defined in terms of geographical location, age, income, etc.

2. Create a list of all individuals or units in the population: This list is often referred to as the sampling frame. It should include all individuals or units in the population.

3. Assign a unique number to each individual or unit in the population: These numbers are used to identify and select individuals or units for the sample.

4. Use a random number generator to select the numbers that correspond to the individuals or units: The random number generator ensures that each individual or unit has an equal chance of being selected.

5. Collect data from the selected individuals or units: Once the individuals or units have been selected, you can collect data from them.

Remember, the key characteristic of simple random sampling is that every individual or unit in the population has an equal chance of being included in the sample. This makes the sample representative of the population, which allows for accurate generalizations about the population based on the sample data.