Essay On Descriptive And Inference

• Define descriptive and inference statistic. What is/are the differences?

Descriptive statistics refers to the collection, presentation, description, analysis and interpretation of a collection of data, essentially is to summarize these with one or two pieces of information (descriptive measures) that characterize all of them. The descriptive statistics is the method of obtaining a data set conclusions about themselves and do not exceed the knowledge provided by them. It can also be used to summarize or describe any outfit whether it is a population or a sample, as in the preliminary stage of statistical inference the elements of a sample known.

Statistical Inference refers to the process of making generalizations about the properties of the whole population, based on the specific, which shows their implicit a number of risks. To these generalizations are valid sample must be representative of the population and the quality of information should be controlled , as well as the conclusions and lessons I are subject to errors, you need to specify the risk or probability that one can commit those mistakes. Inferential statistics is the set of techniques used to draw conclusions that go beyond the limits of the knowledge provided by the data, looking for information of a collective through a methodical process of managing sample data.

DESCRIPTIVE STATISTICS:

It is the branch of statistics that deals with the collection, presentation, description, analysis and interpretation of a dataset.

Analyzes studies and describes the unique characteristics of all the individuals in a group.

Its purpose is to obtain information, analyze it, work it and simplify it necessary to interpret quickly.

Has an inductive function.

There are two ways to so...

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...ation. Examples of hospital units would conglomerates, polling, etc.

• Define questionnaire and explain the four questionnaire errors.

Questionnaire is a written genre that aims to gather information through a series of questions on a given topic to finally give overall scores on it. So that, we can say that it is a research tool used to collect, quantify and eventually compare the information collected.

Four questionnaire errors:

1 - The options are not mutually exclusive, which confuses and generates many responses such as "not responding".

2 - The options are ambiguous, causing confusion or answers like "it depends", so the data is lost and there is a high percentage of non-response.

3 - The question makes a false or hypocritical response, eg if improperly closed.

4 - The question refers to different things at the same time question several things at once.