Question

1. give one example of quantitative data a scientist might collect while studying plants.

part 4: data and graph practice
a student tests whether fertilizer helps bean plants grow taller. she grows two groups of plants:

• group a (no fertilizer)
• group b (with fertilizer)

week | group a (no fertilizer) | group b (with fertilizer)
1 | 3 cm | 3 cm
2 | 5 cm | 7 cm
3 | 7 cm | 12 cm
4 | 9 cm | 18 cm

graph with week on x - axis, height on y - axis, two lines for group a and b

1. which group of plants grew faster?

e ones with fertilizer (handwritten)

1. what is the independent variable in this experiment?

1. what is the dependent variable?

1. write one piece of qualitative data you might observe in this experiment.

1. write one piece of quantitative data you might observe in this experiment.

1. based on the graph, what conclusion can you make about the effect of fertilizer o (cut off)

Explanation:

Question 7

Quantitative data is numerical. When studying plants, measuring height (in cm), number of leaves, etc., works. For example, the height of a plant (e.g., a bean plant is 5 cm tall at week 2) is quantitative.

To find which group grew faster, calculate the growth rate or total growth. Group A: Week 1 - 3 cm, Week 4 - 9 cm. Growth: \( 9 - 3 = 6 \) cm over 3 weeks (from week 1 to 4). Group B: Week 1 - 3 cm, Week 4 - 18 cm. Growth: \( 18 - 3 = 15 \) cm over 3 weeks. Since 15 > 6, Group B (With Fertilizer) grew faster.

The independent variable is what's manipulated. Here, the student manipulates whether fertilizer is used (Group A: No Fertilizer, Group B: With Fertilizer). So the independent variable is the presence or absence of fertilizer.

Answer:

The height of a plant (e.g., "The height of a bean plant is 5 cm at week 2")

Question 8