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Subject: Statistics
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Descriptive and Inferential Statistics

Statistics is the study of gathering, evaluating, and understanding number data. The subject of statistics can be roughly split into two major branches: descriptive statistics and inferential statistics.

Descriptive statistics include the gathering, arrangement, and review of data. This area of statistics is concerned with defining and analyzing data using mean, median, mode, range, variance, and standard deviation metrics. Descriptive statistics can be used to evaluate and understand extensive data collections and to make inferences about the traits of a community based on a selection (Siedlecki, 2020).

Inferential statistics entails using statistical methods to conclude a community based on data gathered from a sample. Inferential statistics includes making forecasts, predicting parameters, and evaluating theories about a community using sample data. Inferential statistics can be used to determine the probability of an occurrence, analyze groups or populations, and establish the connection between factors (Mishra et al., 2019).

Inferential statistics is founded on the concept of chance, which enables us to measure the ambiguity connected with a specific occurrence or result. Implementing statistical techniques such as hypothesis testing, confidence intervals, and regression analysis permits the formulation of conclusions regarding a group using a population.

In the sphere of statistics, inferential and descriptive statistics are regarded as necessary. Descriptive statistics illustrate and investigate data, while inferential statistics are utilized to make conclusions about a group based on a sample (Amrhein et al., 2019). As a result, these two categories of statistics enable academics to evaluate and comprehend data, predict, and derive conclusions concerning the occurrences in our neighborhood.

References

Amrhein, V., Trafimow, D., & Greenland, S. (2019). Inferential statistics as descriptive statistics: There is no replication crisis if we don’t expect replication. The American Statistician73(sup1), 262-270.

Mishra, P., Pandey, C. M., Singh, U., Gupta, A., Sahu, C., & Keshri, A. (2019). Descriptive statistics and normality tests for statistical data. Annals of cardiac anaesthesia22(1), 67

Siedlecki, S. L. (2020). Understanding descriptive research designs and methods. Clinical Nurse Specialist34(1), 8-12.

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