For a farmer interested in data-driven decision-making regarding effect of 3 fertilizers on the crop yield the hypothesis testing used to determine any potential difference in the yield between the three fertilizers is ANOVA test (Option C).
Hypothesis testing refers to the statistical inference method utilized to determine if the available data sufficiently supports a particular hypothesis. Hypothesis testing enables decision makes to establish probabilistic statements about population parameters. ANOVA test stands for Analysis of Variance and refers to a statistical test utilized to evaluate the difference between the means of more than two groups. A one-way ANOVA uses one independent variable and a two-way ANOVA uses two independent variables. As the farmers want to evaluate the difference between three fertilizers' effect on crop yield, the appropriate test is ANOVA test.
Note: The question is missing options which are a) Two sample t-tests. b) Paired t-test. c) ANOVA test. d) One sample t-test.
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