Dichotomous variables are variables that have two levels. A very common example of a dichotomous variable is gender, which has two outcomes and is reported as male or female.
Know MoreDichotomous variables are part of a larger type of variable called a categorical variable. Categorical variables are not measured by numbers, but they can instead be categorized. Dichotomous variables are any categorical variable that has two distinct outcomes. Survey questions that yield yes or no answers are also examples of dichotomous variables. When formulating hypotheses to test a dichotomous variable, it is essential to test the variables as mutually exclusive. This means that one outcome excludes the possibility of the other outcome.
Learn more in StatisticsThe constant of variation is a number that relates two variables that are directly proportional to one another. The number represents a fixed ratio between the two variables, describing how they correspondingly increase or decrease. Constants of variation cannot be calculated for linear expressions that involve variables that are equal to multiple arithmetic terms. If the dependent variable does not equal zero when the independent variable equals zero, the two are not constantly varying.
Full Answer >Two examples of lurking variables are the color of a paper airplane and its ability to fly and the size of the thymus in children who developed SIDS in the early 1900s. Neither of the two factors are responsible for either effect. A lurking variable is an extraneous variable that does not play a role in determining the relationship between the independent and the dependent variable.
Full Answer >As of 2014, the average savings of a 30-year-old is between $5,000 and $9,999; the second most common range for this age is $10,000 to $24,999. These numbers vary based on location, family background and education.
Full Answer >A z-score represents the amount of standard deviations a value is away from the mean average. Z-scores are calculated with a probability formula that requires the standard deviation, the population mean and the element value.
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