If we are collecting sample data for a study, the that we choose can greatly influence the validity of our conclusions. for example, we can use sound statistical methods to analyze data in voluntary response samples, but the results are not necessarily valid.

Sampling method

Explanation:

Sampling is used in inferential statistics. With the help of inferential statistics the characteristics of a large population is inferred from a sample taken from the population. Sampling is the method by which a sample is chosen from a population.

There are numerous sampling methods. Some of them are

Simple random sampling:

In this sampling method the elements are chosen completely at random. There is no pattern which is followed while choosing the elements.

Systematic sampling

Here, while selecting elements an ordering scheme is followed and are selected at regular intervals from an ordered list.

Stratified sampling

The sample is grouped into categories and the elements are chosen at random from these categories. The categorization is done according to the needs of the survey.

early settlements on the subcontinent. both the indus and the ganges rivers carried rich silt from the mountains to the plains. when the rivers flooded, the silt spread over the plains and made the soil in the river valleys fertile for farming.

this statement is true.

forests are public goods, available for everybody. when usage of such a good becomes interesting for consumers and its usage increases, there can be a risk of overexploitation. it is a non rival good therefore, if one person consumes the good it does not reduce the availability for subsequent consumers.

these caracteristics require the establishment of measures in order to prevent the destruction of a commonly owned space, for example, to restrict the amount of people that have access to the same time.