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The ANOVA table is provided for the data given on pulse rates under two factors: age bracket and gender.

For the given two-way analysis of variance, the following hypotheses are set up for the interaction effect:

Null Hypothesis: There is no interaction between the factors age and gender on pulse rates.

Alternative Hypothesis: There is an interaction between the factors age and gender on pulse rates.

The ANOVA output shows that the p-value corresponding to the F statistic value (under interaction) of 9.58 is equal to 0.0003.

As the p-value is less than 0.05, the null hypothesis is rejected.

It can be concluded that there is an interaction between the factors of age and gender on pulse rates.

Since the interaction effect is significant, the individual effects of age and gender will not be tested.