Dependant probability is when the likelihood of one thing is affected by whether or not something else happened.
For instance, when I go shopping, there's a 90% chance I'll go to the local shop, and there's a 10% chance I'll go to the bakers.
If I go to the shop, there's 50% chance I'll buy a loaf of bread. If I go to the bakers, there's an 80% chance I'll buy a loaf of bread.
The dependent probability is the chance I'll buy a loaf of bread. It depends on which shop I go to.
The probability is 1.The probability is 1.The probability is 1.The probability is 1.
For any event A, Probability (not A) = 1 - Probability(A)
They are both measures of probability.
The probability is 1/2.The probability is 1/2.The probability is 1/2.The probability is 1/2.
The probability of no rain is the complement of the probability of rain. If the probability of rain is 0.99, then the probability of no rain is calculated as 1 - 0.99, which equals 0.01. Therefore, there is a 1% chance of no rain.
What is the difference between dependant and independent events in terms of probability
The dependant variable is what is tested in an experiment.
The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.
P('7' with standard cube) = 0 Because a standard cube has only six(6) faces. P(night follows day) = 1 It is an event which WILL ocuur. The results to any probability question are ALWAYS between '0' and '1'. Any calculated results outside the 0-1 range are incorrect, and need to be recalculated. e.g. When tossing an unbiased two-sided coin P(heads on a coin) = 1/2 = 0.5 P(tails on a coin ) = 1/2 = 0.5 Notice the answer is between '0' and '1' NB The is no such law as the 'Law of Averages' in mathemtictics. it is a fictitious invention. What people mean is the probability of an event occurring.
No 1.001 is not a probability. Probability can not be >1
The probability is 1.The probability is 1.The probability is 1.The probability is 1.
The probability is 0.5The probability is 0.5The probability is 0.5The probability is 0.5
Odds against A = Probabillity against A / Probability for A Odds against A = (1 - Probabillity for A) / Probability for A 9.8 = (1 - Probabillity for A) / Probability for A 9.8 * Probability for A = 1 - Probability for A 10.8 * Probability for A = 1 Probability for A = 1 / 10.8 Probability for A = 0.0926
For any event A, Probability (not A) = 1 - Probability(A)
The probability increases.The probability increases.The probability increases.The probability increases.
They are both measures of probability.
The probability that an event will occur plus the probability that it will not occur equals 1.