Researchers ran a 2 x 5 factorial ANOVA on their data. They found a significant main effect for independent variable A, but not independent variable B. They also found a significant interaction between their independent variables. How is this data best interpreted? A. Conclude that independent variable A has a significant effect on the dependent variable, AND that the dependent variable depends on both independent variables.
B. Conclude that the dependent variable depends on both independent variables.
C. Conclude that independent variable A has a significant effect on the dependent variable.
D. Conclude that independent variable B has a significant effect on the dependent variable.

A. Conclude that independent variable A has a significant effect on dependent variable, AND that the dependent variable depends on both independent variable.

Step-by-step explanation:

Analysis of variance ANOVA is used to split observed variability. There are three different types of ANOVA. Analysis of  variance with dependent variable, Analysis of variance with independent variable or null hypothesis. The data given determines that independent variable has significant effect on dependent variable.

2 over 5

step-by-step explanation:

the 2: 3 ratio is the length of the ac segment to the cb segment total length. this implies that the ratio between segment ac length and segment ab length is 2: 5. point c is 2/5 from a to b, so the required fraction is 2/5.

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step-by-step explanation: