Question

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
c. to provide a standard for comparison against the experimental group
d. to ensure the hypothesis is proven correct

1. why is it important for a hypothesis to be specific?

a. it makes the hypothesis more interesting
b. it allows for precise testing and measurement
c. it helps in gathering a large amount of data
d. it guarantees the hypothesis will be proven true

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

a. the smell of the flowers
b. the color of the leaves
c. the texture of the soil
d. the height of the plant in centimeters

1. what is the purpose of a control group in an experiment?

a. to serve as a baseline for comparison
b. to ensure the experiment is conducted faster
c. to measure the dependent variable
d. to change the independent variable

1. how do scientists use observations to form hypotheses?

a. by ignoring observations and guessing
b. by creating random explanations

Explanation:

Question 5

A control group in an experiment is used to have a group that isn't exposed to the independent variable, so it can be compared to the experimental group (which is exposed) to see the effect of the variable. Option a is wrong (not a backup), b is wrong (control group has one variable or none, to compare), d is wrong (hypotheses can be proven wrong too). So c is correct.

A specific hypothesis defines variables and relationships clearly, allowing experiments to test it precisely with measurements. Option a is irrelevant (interest isn't the goal), c: specificity doesn't relate to data quantity, d: hypotheses can be false. So b is correct.

Quantitative data is numerical (measurable). Options a, b, c are qualitative (descriptive, non - numerical). Option d (height in cm) is a number, so it's quantitative.

Answer:

c. To provide a standard for comparison against the experimental group

Question 6