Simple main effects analysis showed that watering frequency did not have a statistically significant effect on plant growth (p =.
#Jmp two way anova how to
Here is how to report the results of the two-way ANOVA:Ī two-way ANOVA was performed to analyze the effect of watering frequency and sunlight exposure on plant growth.Ī two-way ANOVA revealed that there was not a statistically significant interaction between the effects of watering frequency and sunlight exposure (F(3, 32) = 1.242, p =. The following table shows the results of the two-way ANOVA:
She then performs a two-way ANOVA to determine if sunlight exposure and watering frequency effect plant growth. She plants 40 seeds and lets them grow for one month under different conditions for sunlight exposure and watering frequency. Example: Reporting the Results of a Two-Way ANOVAĪ botanist wants to know whether different levels of sunlight exposure and watering frequency effect plant growth. The following example shows how to report the results of a two-way ANOVA in practice. Simple main effects analysis showed that have a statistically significant effect on (p = ). Ī two-way ANOVA revealed that there a statistically significant interaction between the effects of and (F(df interaction, df within) =, p = ). Whether or not the two independent variables had a statistically significant effect on the dependent variable.Ī two-way ANOVA was performed to analyze the effect of and on.Whether or not there was a significant interaction effect between the two independent variables.A brief description of the independent and dependent variables.When reporting the results of a two-way ANOVA, we always use the following general structure: A two-way ANOVA is used to determine whether or not there is a statistically significant difference between the means of three or more independent groups that have been split on two variables.
0 kommentar(er)
