There is a 70% chance it will not rain tommorrow! There is a 70% chance it will not rain tommorrow!
Pr(Windy given not Sunny) = Pr(Windy and not Sunny)/Pr(not Sunny) = 0.2/(1 - 0.3) = 0.2/0.7 which rounds to D 29%
The probability with 30 people is 0.7063 approx.
The chance it is red is 1/2 The chance it is a jack is 4/52 Now add the two together: 1/2 +4/52 = 30/52 However this double counts the jacks that are red 2/52 so 30/52 - 2/52 = 28/52 Therefore the probability you draw a jack or a red is 7/13
When you throw a die, there are six possibilities. The probability of a number from 1 to 6 is 1/6. This is classical probability. Compare this with empirical probability. If you throw a die 100 times and obtain 30 sixes, the probability of obtaining a 6 is 30/100 or 0.3. Empirical probabilities change whereas classical probability doesn't.
This is a binomial probability distribution. The number of trials, n, equals 30; and the probability of success is p, which is 0.1. In this problem, you want the probability of at least 5, which is the complement of at most 4. We use the complement because we can subtract from 1 that probability and we will have the solution. The related link has the binomial probability distribution table which is cumulative. Per the table, at n=30, p=0.1 and x = 4; the probability is 0.825. Therefore the probability of at least 5 is 1 - 0.825 or 0.175.
To get the answer to this question you need to work out what 30% of 80% is. To do this you need to divide 30, by 80, then multiply your answer by 100. 30/80=0.375, 0.375*100=37.5, 37.5 to the nearest percent is 38%
A forecast that says, for instance, "there is a 10% chance of rain tomorrow," means that on 10 out of 100 days with weather conditions very similar to the conditions expected tomorrow, at least a trace of train has occurred. Some will disagree with this answer for various reasons. For the results of research that evaluated how understanding of percentage chance of precipitation varies around the world, see "A 30% Chance of Rain Tomorrow: How Does the Public Understand Probabilistic Weather Forecasts?," available as a PDF file via the URL http://www.mpib-berlin.mpg.de/en/mitarbeiter/gigerenzer/pdfs/RainFinal.pdf .
A 30 percent chance of rain means there is a 3 in 10 chance it will rain in the specified area. It does not indicate the amount of rain that may fall, only the likelihood of precipitation occurring.
Well I thinking I would say you have a..... 30-40% chance of rain on you wedding day.
Chance of precipitation is the likelihood of measurable precipitation (rain, snow, sleet, etc.) occurring within a specific area during a designated time period. It is usually expressed as a percentage, indicating the probability of encountering precipitation at a given location. For example, a 30% chance of precipitation means there is a 30% likelihood of measurable precipitation happening in that area.
The chance is 0.35
The probability of rain on any given day is independent of the previous day, assuming that weather conditions do not influence each other. Therefore, to calculate the probability of rain on two consecutive days, you would multiply the individual probabilities of rain on each day. For example, if the probability of rain on any given day is 30%, the probability of rain on two consecutive days would be 0.30 * 0.30 = 0.09 or 9%.
It means there is less than a 30% chance of seeing rain.
empirical
Pr(Windy given not Sunny) = Pr(Windy and not Sunny)/Pr(not Sunny) = 0.2/(1 - 0.3) = 0.2/0.7 which rounds to D 29%
No. Probability is defined as a number between 0 and 1 (100 percent). If you have four oil wells, each with a probability of hitting being 30%, then the probability of at least one hitting is 100% - (100% - 30%)4, or about 76%.
18%