726 Words3 Pages

a. In statistics, a population is a collection of individuals, things, events, etc. The population is the topic that one wants to make inferences on, whereas a sample is a subset of the population that is being collected—to be studied. After the sample is studied in statistics, one draws an inference of the population. There are four general sampling methods used in statistics: representative sample, random sample and quasi-random sample, stratified and quota sample, convenience sample, and purposive sample. A representative sample should be unbiased and thus properly indicate a characteristic of the entire population. In a random sample nothing is biased; in other words, every individual, thing or event in the population has the same chance of being selected for the sample. Therefore, because of the randomness of the sampling, the selection of one item from the population in no way effects the selection of another item. A quasi-random sample is simply a number (nth), which is*…show more content…*

A population is labeled finite if the measurements—individuals, events, etc.—can be counted. In contrast, an infinite population cannot be counted.

c. Descriptive statistics is a procedure of organizing sample data. This procedure allows readers to be able to understand and describe the data’s importance. Descriptive statistics allows an individual to quickly understand the data and make predict an individual score; however, descriptive statistics does not describe all data in the sample. Inferential statistics is a process that determines whether sample data accurately represented the relationship to the population. In other words, one uses inferential statistics to determine if the sample data is believable.

d. A parameter is used in inferential statistics and is used to describe the scores of a population—letters of the Greek alphabet symbolizes a parameter. An estimate in statistics is a value, which was produced by the sample, and inferred to be the value of the

A population is labeled finite if the measurements—individuals, events, etc.—can be counted. In contrast, an infinite population cannot be counted.

c. Descriptive statistics is a procedure of organizing sample data. This procedure allows readers to be able to understand and describe the data’s importance. Descriptive statistics allows an individual to quickly understand the data and make predict an individual score; however, descriptive statistics does not describe all data in the sample. Inferential statistics is a process that determines whether sample data accurately represented the relationship to the population. In other words, one uses inferential statistics to determine if the sample data is believable.

d. A parameter is used in inferential statistics and is used to describe the scores of a population—letters of the Greek alphabet symbolizes a parameter. An estimate in statistics is a value, which was produced by the sample, and inferred to be the value of the

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