Richarre
No.
The fact that the outcome of one trial does not affect the outcome of any other trial follows from the fact that the trials that are independent. Whether the distribution is binomial or not is totally irrelevant.
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∙ 10y agoTwo events are said to be independent if the outcome of one event does not affect the outcome of the other. Their probabilities are independent probabilities. If the events are not independent then they are dependent.
It can, but need not, affect the outcome of the experiment variable.
If changes in one variable do not affect the outcome of another variable, then the second variable is independent. A variable that is not independent is dependent.
The occurrence of one event does not affect the occurrence of the other event. Take for example tossing a coin. The first toss has no affect on the outcome of the second toss, so these events are independent.
No, two events are independent if the outcome of one does not affect the outcome of the other. They may or may not have the same probability. Flipping two coins, or rolling two dice, are independent. Drawing two cards, however, are dependent, because the removal of the first card affects the possible outcomes (probability) of the second card.
Two events are said to be independent if the outcome of one event does not affect the outcome of the other. Their probabilities are independent probabilities. If the events are not independent then they are dependent.
independent variable
independent variable
It can, but need not, affect the outcome of the experiment variable.
Independent events.
In that case, the events are said to be independent.
If changes in one variable do not affect the outcome of another variable, then the second variable is independent. A variable that is not independent is dependent.
The occurrence of one event does not affect the occurrence of the other event. Take for example tossing a coin. The first toss has no affect on the outcome of the second toss, so these events are independent.
Many united to form an independent nation and fight the british.
No, two events are independent if the outcome of one does not affect the outcome of the other. They may or may not have the same probability. Flipping two coins, or rolling two dice, are independent. Drawing two cards, however, are dependent, because the removal of the first card affects the possible outcomes (probability) of the second card.
Yes, the independent variable is manipulated or changed by the researcher to observe its effect on the dependent variable, thus influencing the dependent variable's outcome or behavior.
A confounding variable is a factor in a study that correlates with both the independent and dependent variables, potentially leading to incorrect conclusions about the relationship between them. These variables can affect the outcome of an experiment by introducing bias or confusion into the results.