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3:14 14:59 Suggested clip CPD Webinar: Choosing the Right Statistical Test and Using the YouTubeStart of suggested client of suggested clip CPD Webinar: Choosing the Right Statistical Test and Using the
Two types of statistical methods are used in analyzing data: descriptive statistics and inferential statistics. Descriptive statistics are used to synopsize data from a sample exercising the mean or standard deviation. Inferential statistics are used when data is viewed as a subclass of a specific population.
Statistical tests provide a method for making quantitative decisions about a particular sample. Statistical tests mainly test the hypothesis that is made about the significance of an observed sample. Statistical tests are carried out extensively in psychology, medicine, nursing and business.
Statistics allow psychologists to: Psychologists use the data they have collected to test a hypothesis or a guess about what they predict will happen. Using this type of statistical analysis, researchers can determine the likelihood that a hypothesis should be either accepted or rejected.
The two main types of statistical analysis and methodologies are descriptive and inferential. However, there are other types that also deal with many aspects of data including data collection, prediction, and planning.
Three criteria are decisive for the selection of the statistical test, which are as follows: the number of variables, types of data/level of measurement (continuous, binary, categorical) and. The type of study design (paired or unpaired).
A one-way analysis of variance (ANOVA) is used when you have a categorical independent variable (with two or more categories) and a normally distributed interval dependent variable, and you wish to test for differences in the means of the dependent variable broken down by the levels of the independent variable.
The chosen statistical tests are the chi- square test, chi-square test for goodness of fit, chi-square test for independence, Fisher's exact test, McNamara's test and the use of confidence intervals for proportions.

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