Topic 5 DQ 1
Analysis of Variance (ANOVA) is a collection of statistical models, and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of variation. It is very useful for analyzing datasets. It is a way to find out if survey or experiment results are significant. In other words, they help you to figure out if you need to reject the null hypothesis or accept the Alternative hypothesis. It basically allows comparisons to be made between three or more groups of data. For example, when multiple medications that treat the same condition are being tested to see which one works better or which one has the most benefit (Glen, 2020) ANOVA Testing Nursing essay.
There are two types of ANOVA that are commonly used, the One-Way ANOVA and the Two-Way ANOVA. A one-way ANOVA is a type of statistical test that compares the variance in the group means within a sample while considering only one independent variable or factor. It is a hypothesis-based test, meaning that it aims to evaluate multiple mutually exclusive theories about one data. A one-way ANOVA compares three or more than three categorical groups to establish whether there is a difference between them. Within each group, there should be three or more observations and the means of the samples are compared ANOVA Testing Nursing essay. For example, conducting research on whether people gain more weight during Thanksgiving, Christmas or Easter (Mackenzie, 2018). In a one-way ANOVA, there are two possible hypotheses. The null hypothesis (H0) is that there is no difference between the groups and equality between means. And the alternative hypothesis (H1) is that there is a difference between the means and groups (Mackenzie, 2018). In the two-way ANOVA, each sample is defined in two ways and resultingly put into two categorical groups. For example weight and gender. It actually compares the effect of multiple groups of two independent variables on a dependent variable and on each other (Mackenzie, 2018).
References:
Glen, S. (2020). ANOVA Test: Definition, Types, Examples. Retrieved from
Mackenzie, R. (2018). One-Way vs Two-Way ANOVA: Differences, Assumptions, and Hypotheses. Retrieved from
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