To determine the accuracy of the hypothesis, we consider the weight gains of two groups on Day 2 and Day 3, comparing these gains to the average weight gain for each group.
Given Data:
1. Group 1:
- Day 2 Weight Gain: 73g
- Day 3 Weight Gain: 59g
- Average Weight Gain: 65g
2. Group 2:
- Day 2 Weight Gain: 86g
- Day 3 Weight Gain: 103g
- Average Weight Gain: 94g
Calculations:
1. Group 1 Comparison:
- Day 2 Gain (73g) vs. Average Gain (65g): 73g > 65g
- Day 3 Gain (59g) vs. Average Gain (65g): 59g < 65g
Since for Group 1, 73g is greater than 65g and 59g is less than 65g, the data for Group 1 does not consistently fall below the average weight gain. Therefore, the hypothesis for Group 1 is not supported.
2. Group 2 Comparison:
- Day 2 Gain (86g) vs. Average Gain (94g): 86g < 94g
- Day 3 Gain (103g) vs. Average Gain (94g): 103g > 94g
Similarly, for Group 2, 86g is less than 94g and 103g is greater than 94g. Therefore, the data for Group 2 does not consistently exceed the average weight gain. So, the hypothesis for Group 2 is also not supported.
Therefore, upon examining the given data, we find that for both group 1 and group 2, the weight gain measurements do not align with the stated hypothesis criteria. Thus, the data does not support the hypothesis for either group.
Conclusion:
The appropriate answer based on this data is:
C. The data rejected the hypothesis.
