Question

1. which of the following is an example of quantitative data?

a. the color of a flower
b. the texture of a leaf
c. the height of a plant
d. the smell of a chemical

1. in the room scenario provided, what could be an inference made from the observations?

a. the wind knocked over the vase
b. the room is painted blue
c. there is water on the floor
d. there is a broken vase on the floor

1. what does the null hypothesis (h0) state in an experiment?

a. there is no relationship between the variables
b. there is a specific effect or difference
c. the hypothesis cannot be tested
d. the independent variable has a strong influence

1. what is the primary purpose of data collection in scientific research?

a. to write the conclusion
b. to gather numerical or qualitative information
c. to form a new hypothesis
d. to prove the hypothesis

1. which of the following best describes the role of a control group in an experiment?

a. to serve as a backup in case the experimental group fails
b. to test multiple variables at once

Explanation:

Question 1

Quantitative data is numerical. Color (a), texture (b), and smell (d) are qualitative (descriptive). Height (c) is a number, so it's quantitative.

Inferences are conclusions from observations. Options b, c, d are direct observations. Option a (wind knocked over vase) is an inference about the cause of the broken vase (an observation).

Null hypothesis (\(H_0\)) assumes no relationship between variables. Option b is an alternative hypothesis. Option c is incorrect (hypotheses are testable). Option d is about variable influence, not \(H_0\).

Answer:

c. The height of a plant

Question 2