What does IV stand for in an experiment?

• Initial Value

• Invariable Value

• Intervening Variable

• Independent Variable

What does DV stand for in an experiment?

• Dependent Variable

• Data Variable

• Design Variable

• Dependent Value

Identify the IV in the following statement: 'Increasing study time improves test scores.'

• Exam preparation

• Increasing study time

• Test scores

• Study habits

Identify the DV in the following statement: 'The amount of sunlight affects plant growth.'

• amount of sunlight

• plant growth

• type of plant

• soil quality

What is a hypothesis?

• A hypothesis is a testable prediction about the relationship between variables.

• A hypothesis is a statement that cannot be proven or disproven.

• A hypothesis is an untestable theory about the universe.

• A hypothesis is a definitive conclusion drawn from data.

How would you write a hypothesis for the effect of temperature on ice cream melting?

• If the temperature decreases, then the rate of ice cream melting will also decrease.

• Temperature has no effect on the melting of ice cream.

• Ice cream melts faster in colder temperatures.

• If the temperature increases, then the rate of ice cream melting will also increase.

What is the first step in designing an experiment?

• Determine the budget for the experiment.

• Identify the research question or hypothesis.

• Choose the materials for the experiment.

• Select the participants for the study.

What is the purpose of a control group in an experiment?

• To provide a baseline for comparison and isolate the effects of the experimental treatment.

• To provide additional data that supports the hypothesis.

• To ensure the experiment runs smoothly without any variables.

• To eliminate the need for any experimental treatment.

Name one method of data collection in experiments.

• Surveys

• Focus Groups

• Observations

• Interviews

What is the difference between qualitative and quantitative data?

• Qualitative data can be easily counted and analyzed statistically.

• Qualitative data is always numeric and measurable.

• Quantitative data is descriptive and non-numeric.

• Qualitative data is descriptive and non-numeric, while quantitative data is numeric and measurable.