Statistical analysis selector

  • Different statistical tests and when to use them

    Some of the most common and convenient statistical tools to quantify such comparisons are the F-test, the t-tests, and regression analysis.
    Because the F-test and the t-tests are the most basic tests they will be discussed first..

  • Different statistical tests and when to use them

    The primary parameters used are the mean (or average) and the standard deviation (see Fig. 6-2) and the main tools the F-test, the t-test, and regression and correlation analysis..

  • How do you select statistical analysis?

    Selection of appropriate statistical method depends on the following three things: Aim and objective of the study, Type and distribution of the data used, and Nature of the observations (paired/unpaired)..

  • Types of test in SPSS

    Statistical analysis, or statistics, is the process of collecting and analyzing data to identify patterns and trends, remove bias and inform decision-making.
    It's an aspect of business intelligence that involves the collection and scrutiny of business data and the reporting of trends..

INSPECT-LB provides a free and easy-to-use tool to help researchers select the appropriate statistical test for their analysis.

How do I select the appropriate statistical analysis and sample size?

Selecting the appropriate statistical analysis and sample size is a very common problem for graduate students.
Here is the strategy we use at Statistics Solutions:

  1. select the correct test
  2. then select the correct sample size for that test
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How to select a statistical test?

Selection of statistical test depends upon our aim and objective of the study.
Suppose our objective is to find out the predictors of the outcome variable, then regression analysis is used while to compare the means between two independent samples, unpaired samples t-test is used.

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Why is selection of appropriate statistical method important in biomedical data analysis?

Selection of appropriate statistical method is very important step in analysis of biomedical data.
A wrong selection of the statistical method not only creates some serious problem during the interpretation of the findings but also affects the conclusion of the study.


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