A confounding variable can influence the outcome of an experiment in many ways, such as:
1. Invalid correlations.
2. Increasing variance.
3. Introducing a bias.
A confounding variable may be known or unknown. They are often characterized as having an association or correlation with both the independent and dependent variables.
Randomization is a technique used in experimental design to give control over confounding variables that cannot be held constant.
Randomization is a simple tool in experimental design that allows the confounding variables to have their effect across a sample. It shifts the experiment from looking at an individual case to a collection of observations, where statistical tools are used to interpret the finding.
Hence option C is correct.
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