To increase the probability of your research findings resulting from the independent variable and not from chance, the between-groups variability should <u>increase </u>and the error variability should <u>decrease</u>.
An independent variable is exactly what it appears like. it's far a variable that stands alone and is not modified by using the other variables you are attempting to measure. for instance, someone's age is probably an independent variable.
Variables are given a special call that simplest applies to experimental investigations. One is known as the established variable and the other the independent variable. The unbiased variable is the variable the experimenter manipulates or adjustments and is believed to have a direct effect on the established variable.
These are the factors or situations which you manage in an test. Your speculation is this variable reasons a right-away effect at the structured variable. based variables (DV): these are the factor that you study or measure.
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You didn't now. Okay it's C Okay
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