What is the difference between dependant and independent events in terms of probability
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Table The difference in the values of the "dependent" variable is a fixed multiple of the difference between the corresponding values of the independent variable. And the value of the dependent variable is non-zero when the independent is zero.Graph A non-vertical straight line which does not pass through the origin.Equation y = mx + c (or equivalent) where m is some real number and c is non-zero.
It means that the two variables are likely dependent. The higher the number of the positive correlation the stronger the connection.
The probability increases.The probability increases.The probability increases.The probability increases.
The null hypothesis of the independent samples t-test is verbalized by either accepting or rejecting it due to the value of the t-test. If the value is less than 0.05 it is accepted and greater than 0.05 is rejecting it.
Yes a probability can be between 0 (meaning impossible) and 1 (meaning certain to happen).