The data “... appear in a paper by Box and Cox (1964). These are survival times of groups of four animals randomly allocated to three poisons and four treatments. The experiment was part of an investigation to combat the effects of certain toxic agents. This arrangement is called a 3 x 4 factorial design and is replicated four times." The aim here is to see how the different poisons and medications affect survival times Survival time is measured in ten-hours
Please answer the remaining questions regardless of whether you decided that there was or was not significant interaction.
Use the Excel output to write out the conclusions of the Two-way Anova F-test, and use a 5% significance level.
Choose the options that will create the correct column factor conclusion.
The column factor P-value of [ Select ] ["0.00000033314", "0.11225061", "0.0000037773"] is [ Select ] ["not very low", "low"] , so we [ Select ] ["cannot conclude", "conclude"] that [ Select ] ["Medications", "Survival Times", "Poisons"] affect Survival Times .


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