How to Calculate ONE WAY ANOVA (Analysis of Variance) | Steps Involved in ANOVA | F-test

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  • Опубліковано 28 сер 2024
  • ‪@blessingE825‬
    One-way ANOVA (Analysis of Variance) is a statistical technique used to compare means of three or more groups.
    Variance: ANOVA is based on the variance in the data, which is a measure of how spread out the values are.
    Null hypothesis: ANOVA is used to test the null hypothesis that there is no significant difference between the means of two or more groups.
    F-statistic: ANOVA calculates an F-statistic, which is the ratio of the between-group variance to the within-group variance.
    Degrees of freedom: ANOVA uses degrees of freedom to calculate the F-statistic. There are two types of degrees of freedom: numerator degrees of freedom and denominator degrees of freedom.
    One-way ANOVA: This is used when there is only one independent variable (factor) that is being tested.
    This video shows:
    How to solve Numerical problems on ONE-WAY ANOVA (Analysis of Variance).
    How to calculate ONE-WAY ANOVA by hand. Simple and in-depth explanation of ONE-WAY ANOVA by / @blessinge825
    How to calculate ONE-WAY ANOVA, including a step-by-step demonstration.
    To calculate the ONE-WAY ANOVA, you need to state Null hypothesis,
    Alternative hypothesis,Significance level. Also calculate Degrees of freedom, Sum of squares, Means quares and F-value or F-calculate.
    Video answers the question of:
    How to calculate ONE-WAY ANOVA ?
    How to find ONE-WAY ANOVA?
    How to solve How to find ONE-WAY ANOVA?
    How to perform ONE-WAY ANOVA?
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