Question

Which of these is a factor to which experimental results can be compared? A. independent variable B. dependent variable C. control D. constant

Short answer

C. control

Step-by-step solution

Identify the Purpose of Factors in Experiments

In scientific experiments, different factors are involved to determine the outcome or ensure the reliability of the results. Identifying the role of each factor helps in making accurate comparisons.

Define Each Factor

To analyze which factor is used as a comparison, let's define each option: A. Independent Variable: This is the variable that is changed or controlled to test the effects on the dependent variable. B. Dependent Variable: This is the variable that is observed and measured; it responds to the changes in the independent variable. C. Control: This is a standard or reference point in the experiment used for comparison. D. Constant: These are factors that remain unchanged throughout the experiment to prevent them from affecting the results.

Determine Which Factor is the Comparison Point

Given these definitions, the control is the factor that provides a baseline to which experimental results from the independent variable manipulations can be compared. Controls help in asserting that the experimental conditions are affecting the outcome.

Key concepts

Control Variable

In a scientific experiment, a control variable is essential because it acts as a benchmark or standard for comparison. When conducting an experiment, scientists need to ensure their results are due to the changes they intentionally made and not because of other unknown factors.
This is where control variables come in. By keeping these variables consistent, or 'controlled', researchers can isolate the effects of the independent variable on the dependent variable. This way, any changes observed can be directly attributed to the manipulations of the independent variable.
Imagine it like having a set of rules that remain unchanged, allowing scientists to determine if any new changes bring about different results. It's like measuring all cookies with the same ruler."},{