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Methodology

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1. DIFFERENTIATE DESCRIPTIVE STATISTICS FROM INFERENTIAL STATISTICS. ANSWER:

The difference between Descriptive Statistics and Inferential Statistics:

Descriptive Statistics includes statistical procedures that we use to describe the population we are studying. The data could be collected from either a sample or a population, but the results help us organize and describe data. I can only be used to describe the group that is being studying. That is, the results cannot be generalized to any larger group; while,
Inferential Statistics is concerned with making predictions or inferences about a population from observations and analysis of a sample. That is, we can take the results of an analysis using a sample and can generalize it to the larger population that the sample represents. In order to do this, however, it is imperative that the sample is representative of the group to which it is being generalized.

2. DIFFERENTIATE PROBABILITY SAMPLING FROM NON-PROBABILITY SAMPLING.
ANSWER:

The difference between Probability Sampling and Non-Probability Sampling:

Probability Sampling are selected in such a way as to be representative of the population. They provide the most valid or credible results because they reflect the characteristics of the population from which they are selected (e.g., residents of a particular community, students at an elementary school, etc.); unlike,
Non-Probability Sampling are less desirable than probability samples. However, they are limited with regard to generalization. Because they do not truly represent a population, we cannot make valid inferences about the larger group from which they are drawn. Validity can be increased by approximating random selection as much as possible, and making every attempt to avoid introducing bias into sample selection.

3. DISCUSS THE KINDS OF PROBABILITY SAMPLING.
ANSWER:

KINDS OF PROBABILITY...

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