Assertion: distribution's probability | /r/HasProperty | equal
Facets:
value: to 1/4
type: OTHER
value: to x.
type: OTHER
value: simply
type: DEGREE
value: to the proportion of the area
type: OTHER
value: to the unconditional probability
type: OTHER
value: to the confidence level
type: OTHER
value: to the proportion of m&m
type: OTHER
Source sentences:
text: We call Figure 2 a probability distribution because if you choose an M&M at random, the probability of getting, say, a brown M&M is equal to the proportion of M&M's that are brown (0.30).
text: The probability of a random variable falling within any given range of values is equal to the proportion of the area enclosed under the function’s graph between the given values and above the x-axis.
text: In other words, X ¯ n {\displaystyle {\overline {X}}_{n}} being the mean of the set of observations, the probability that the mean of the distribution is inferior to UCL 1−α is equal to the confidence level 1
text: For example, if an event has not occurred after 30 seconds, the conditional probability that occurrence will take at least 10 more seconds is equal to the unconditional probability of observing the event more than 10 seconds after the initial time.
text: Probability that random variable X is less than or equal to x.
text: This says that the expected probability of seeing a category i among the various discrete distributions generated by the posterior distribution is simply equal to the proportion of occurrences of that category actually seen in the data, including the pseudocounts in the prior distribution.
text: The plant manager does not know , but from past experience she expects this probability to be equal to .
text: This probability is equal to the number of particles in state i divided by the total number of particles in the system, that is the fraction of particles that occupy state i.
text: Since two of the outcomes represent the case in which just one head appears in the two tosses, the probability of this event is equal to 1/4 + 1/4 = 1/2.