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ANOVA One way | F Test Direct Method | Problem & Solution | Hypothesis Testing Statistics
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ANOVA One way | F Test Direct Method | Problem & Solution | Hypothesis Testing Statistics
Steps to Follow for ANOVA One way | F Test Direct Method
Step 1: State the null and alternative hypothesis
Step 2: Calculate the Sum of squares for variation between the samples
Step 3: Calculate the Sum of squares for variation within the samples
Step 4: Calculate the Sum of squares for the total variation
Step 5: Prepare the One-way ANOVA table including SS between, SS within, SS total, corresponding degrees of freedom, MS between, MS within, F-test, and F-limit from the F-distribution table.
Step 6: Compare the value of the F-test with F-limit;
►If F-ratio comes out less than F-limit then we can’t reject the null hypothesis
►if the F-ratio comes out greater than F-limit then it implies the null hypothesis needs to be rejected.
Related videos:-
Chi-square test in hypothesis testing
Hypothesis Testing | Basic Concepts Concerning Testing of Hypothesis
Z-Test and T-Test under different test conditions (two-tailed test, left-tailed test, and right-tailed test) with illustrative examples
Measures of central tendency (Mean, Median, Mode) with illustrative examples
Measures of Variation (Range and Standard deviation, Skewness, and Kurtosis) with illustrative examples
Skewness and Kurtosis in Hindi with illustrative examples
Join us on:-
WhatsApp Broadcast: +91-9468267324
Steps to Follow for ANOVA One way | F Test Direct Method
Step 1: State the null and alternative hypothesis
Step 2: Calculate the Sum of squares for variation between the samples
Step 3: Calculate the Sum of squares for variation within the samples
Step 4: Calculate the Sum of squares for the total variation
Step 5: Prepare the One-way ANOVA table including SS between, SS within, SS total, corresponding degrees of freedom, MS between, MS within, F-test, and F-limit from the F-distribution table.
Step 6: Compare the value of the F-test with F-limit;
►If F-ratio comes out less than F-limit then we can’t reject the null hypothesis
►if the F-ratio comes out greater than F-limit then it implies the null hypothesis needs to be rejected.
Related videos:-
Chi-square test in hypothesis testing
Hypothesis Testing | Basic Concepts Concerning Testing of Hypothesis
Z-Test and T-Test under different test conditions (two-tailed test, left-tailed test, and right-tailed test) with illustrative examples
Measures of central tendency (Mean, Median, Mode) with illustrative examples
Measures of Variation (Range and Standard deviation, Skewness, and Kurtosis) with illustrative examples
Skewness and Kurtosis in Hindi with illustrative examples
Join us on:-
WhatsApp Broadcast: +91-9468267324
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