independent and dependent varialbe

Events are said to be independent if the occurrence of one event does not affect the occurrence of others. Observe in case(a) of above example, The probability of getting a white ball in the second draw does not depend on the occurrence of the event on the first draw. However i..

Are the two events dependent or independent? 1. Tossing a coin. 2. Rolling a die. => Dependent or Independent..

Are the two events dependent or independent? 1.Choosing a milk bottle from the fridge. 2.Choosing a soft drink bottle from the fridge. => Independent or Dependent..

Are the two events dependent or independent? 1. Drawing a king from a pack of cards without replacing it. 2. Again drawing another king. => Dependent or Independent..

An experiment to show that the vertical and horizontal motions of a body are independent of each other Place two coins A and B near the edge of a table as shown in the figure. Simultaneously drop the coin A vertically and flick the coin B horizontally. After a while we will hear just ..

A bag contains some red-colored and some blue-colored marbles. First a red-colored marble is drawn and then, without replacing the first marble, a blue-colored marble is drawn. Are the two events dependent or independent? => Independent or Dependent..

Rates of most chemical reactions increases with temperature because the rate constant 'k' increases with temperature. The temperature dependence of the rate constant is given by the Arrhenius equation, where..

For any specific value of the independent variable, the values of the dependent variable y are normally distributed. This is called the __________ assumption. => independence or linearity or equal - variance or normality..

Which of the following statement(s) is/are false? I. The variances (or standard deviations) for the y variables are the same for each value of the independent variable. This is equal - variance assumption. II. There is a linear relationship between the dependent variable and the..

Select the requirements of a binomial probability experiment. I. There must be fixed number of trials. II. Each trial can have only two outcomes, or outcomes that can be reduced to two outcomes. III. The outcomes of each trial must be dependent on each other. IV. The outcomes of each tria..