Alright, let's approach this problem step-by-step.
### Step 1: Axis Scaling and Labeling
a. Scale for the axis labeled "Average Plant Height (cm)":
- Since the average plant height ranges from 6 cm to 15 cm, an appropriate scale could be from 0 cm to 20 cm to ensure all points fit comfortably on the graph.
### Step 2: Plotting Data
b. Plotting Group A Data:
- Day 2: Height = 7 cm
- Day 3: Height = 10 cm
- Day 4: Height = 13 cm
- Day 5: Height = 15 cm
Use small circles to mark each point:
- (2, 7), (3, 10), (4, 13), (5, 15)
Then, connect these points with a line.
c. Plotting Group B Data:
- Day 2: Height = 6 cm
- Day 3: Height = 6.5 cm
- Day 4: Height = 7 cm
- Day 5: Height = 7.5 cm
Use small triangles to mark each point:
- (2, 6), (3, 6.5), (4, 7), (5, 7.5)
Then, connect these points with a line.
### Step 3: Identifying the Dependent Variable
d. The dependent variable in this investigation is the:
- (1) days
- (2) average plant height
- (3) gibberellic acid
- (4) group B
The dependent variable is the average plant height, as it changes in response to the independent variable, which is the treatment with gibberellic acid.
### Step 4: Stating a Conclusion
e. State a valid conclusion:
Based on the plotted data:
- Group A (treated with gibberellic acid) shows significant growth over the days, from 7 cm to 15 cm.
- Group B (not treated with gibberellic acid) shows minimal growth, from 6 cm to 7.5 cm.
Conclusion:
Gibberellic acid increases the growth rate of bean plants, as observed from the higher average plant heights in group A compared to group B over the same period.
By thoroughly examining the average plant heights, we see that gibberellic acid positively affects bean plant growth. Group A, which was treated with the hormone, consistently showed greater increases in height compared to Group B, which was not treated.
