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Statistics is the science that is responsible for collecting, organizing, processing, analyzing, and interpreting data to deduce the characteristics of a target group or population, but this would just be a narrow vision of what this subdivision of knowledge comprises. Many students are unable to fetch their desired grades in statistics homework even after struggling a lot. For such students, we offer Statistics Homework Help to get A1 grades. Besides that, we have a team of statistics experts who can offer Personal Statement Writing Help.

## Assignment Topics Covered By Our Statistics Homework Writing Services

Our experts cover topics of most used elements in statistics which are defined below:

Population. It is the set of all the possible elements that take part in an experiment or a study. There are two types:

• Finite Population. It is one that indicates that it is possible to reach or exceed when counting. It is one that has or includes a limited number of measurements and observations.

• Infinite Population. It is infinite if you include a large set of measurements and observations that cannot be reached in the count. They are infinite populations because hypothetically there is no limit to the number of observations that each of them can generate.

Sample. A set of measurements or observations are taken from a given population. It is a subset of the population.

Representative Sample. A representative subset was selected from a population from which it was obtained.

Sampling. To the study of the representative sample.

Census. To the complete study of the population.

Parameter. It is made up of measurable characteristics in a complete population. It is assigned a symbol represented by a Greek letter.

Statistician. It is the measure of a characteristic relative to a sample. Most sample statistics are found using the formula and are often assigned symbolic names that are Latin letters.

Statistical Data (Variables). The data are groupings of any number of related observations. To be considered statistical data, it must have 2 characteristics: a) that they are comparable to each other. b) That they have some relationship.

Variable. A characteristic that assumes values.

Data Classes- Quantitative or scalar variable. It will be a variable when you can assume its results in numerical measures.

Discrete Quantitative Variable. It is one that can assume only certain values, integers. Example: The number of students (1, 2, 3, 4).

Continuous Quantitative Variable. It is one that can theoretically take any value on a scale of measurements, be it an integer or fractional. Example, Height: 1.90 m

Nominal Qualitative Variables. When it is not possible to make numerical measurements, they are susceptible to classification. Example: Color of cars: red, green, blue.

Experiment. It is a planned activity, the results of which produce a set of data. It is the process by which an observation or measurement is recorded.

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