Direct variation exists when a worker is paid based on the number of hours worked. Another example of a direct variation is a taxi fare that varies according to the distance traveled. Direct variation occurs with two variables when the ratio of their values always remains the same. For example, if the value of A is always twice as much as B, they vary directly.
Know MoreDirect variation can be expressed as an equation, an algebraic expression or a geometric expression. To illustrate the concept of direct variation as an equation, take the equation y/x = 6. Y varies directly with X, with 6 being the constant in the equation. From the equation, it can be determined that Y is always six times greater than X. The equation y = kx is an example of an algebraic equation that illustrates direct variation. Both Y and X are always multiplied by the same amount. This equation is a linear equation. In addition to direct variations, other relationships between numbers and variables that remain constant exist in the mathematical world. Variables A and B are said to be inversely related to each other when A varies as the reciprocal of B. Variables can also be jointly related.
Learn more about StatisticsScientist and engineers compare a measurement to the accepted value using the term accuracy. The measurement system must provide both accuracy and precision if it is valid.
Full Answer >An example of a negative correlation in practical terms is that as a chicken gets older, they tend to lay fewer eggs. This is a negative correlation because as the years of the chicken increase, the number of eggs decrease, meaning that the two numbers are moving opposite from each other.
Full Answer >Statistics are useful in certain careers and in sports, according to Wichita State University. When people use statistics in real-life situations, it is called applied statistics. Statistics involves descriptive and inferential analysis of raw data.
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.
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