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Descriptive statistics – Descriptive statistics deals with the presentation and collection of data. Descriptive statistics is the first part of statistical analysis. However, it is not simple as it may sound, and that is why all statistics people must be aware of designing experiments, avoiding bias and choosing the best focus group. Descriptive statistics is divided into four areas. These areas include;
- Measures of central tendency
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Inferential Statistics – Inferential statistics involves concluding statistical analysis formed as a result of descriptive statistics. Most future predictions and generalizations come through inferential statistics. In inferential statistics, when drawing conclusions, one needs to be careful not to have biased conclusions. You must note that descriptive statistics go hand in hand, and one cannot exist without the other. There are two main areas of inferential statistics which are;
- Estimating parameters – Estimating parameters means taking a statistic from a data sample and using it to conclude about a population parameter.
- Hypothesis tests – This is where one can use sample data in answering research questions.
Inferential statistics use different models to help people compare sample data to previous research when predicting the future. Whatever help you need in either inferential or descriptive statistics, we are here to offer it. We are always available to offer the best help. Should you have a revision from a task completed by us, we will complete it immediately without additional charges. We aim to ensure that you get the best grades.
Check out our informative blogs on statistics
These blogs have been written by experienced statisticians to provide an insight on various topics in statistics.
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Get SAS Homework Help from the Leading Professional ExpertsSAS is the acronym of the Statistical Analysis System. It is a programming software package that was developed for advanced data management, predictive analysis, and business intelligence. SAS is widely used because it is efficient when it c...
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