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1 Continuous Probability Distributions,[link widoczny dla zalogowanych]
The bend represents the PROBABILITY DENSITY the probabilty per unit from the continuious variable,[link widoczny dla zalogowanych].
Exponential distribution predicts the waiting t6imes between consecutive events in any rondom sequence of events,[link widoczny dla zalogowanych]. The equation with this distribution is
*the longer the average weight small the value Kand the morethe graph slopes down,[link widoczny dla zalogowanych].
Continuious probability distributions allow for fractional or decimal values from the random variable,[link widoczny dla zalogowanych].
Distributions can be represented by a relative frequency table,[link widoczny dla zalogowanych], a graph,[link widoczny dla zalogowanych], or perhaps an equation.
Probabilities can be computed by locating the area under the curve within the appropriate interval,[link widoczny dla zalogowanych].
Ex,[link widoczny dla zalogowanych].#1Probabilities inside a uniform distribution,[link widoczny dla zalogowanych].
The driving time between Toronto and North Bay is found to range evenly between 195 and 240 mins ,[link widoczny dla zalogowanych]. What's the probability that the drive will require more then 210 mins,[link widoczny dla zalogowanych].
Time distribution is uniform,[link widoczny dla zalogowanych], which means that every time in the range is every bit likely . The graph is a horizontal straight line. The total area under this line must equal because all the possible driving times lie in the range 195 to 240 mins.
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