The integral of the density function from the given point upwards.
None. The probability of a continuous variable taking any particular value is always zero. The probability is greater than zero only when an interval (or range) is specified.
A very high probability if your numbers are greater than 78.
4.1 is not a valid probability because probability can never be greater than 1.
Assuming the uniform continuous distribution, the answer is 29/49. With the uniform discrete distribution, the answer is 29/50.
no
None. The probability of a continuous variable taking any particular value is always zero. The probability is greater than zero only when an interval (or range) is specified.
Yes, the uniform probability distribution is symmetric about the mode. Draw the sketch of the uniform probability distribution. If we say that the distribution is uniform, then we obtain the same constant for the continuous variable. * * * * * The uniform probability distribution is one in which the probability is the same throughout its domain, as stated above. By definition, then, there can be no value (or sub-domain) for which the probability is greater than elsewhere. In other words, a uniform probability distribution has no mode. The mode does not exist. The distribution cannot, therefore, be symmetric about something that does not exist.
It is 0.1587
Variance" is a mesaure of the dispersion of the probability distribution of a random variable. Consider two random variables with the same mean (same aver-age value). If one of them has a distribution with greater variance, then, roughly speaking, the probability that the variable will take on a value far from the mean is greater.
A probability can never be greater than 1.
30 percent.
It depends on the possible range of the random numbers. The question, as stated, does not have enough information to answer. Please restate the question.
A probability of 1 means something will definitely happen. There cannot be a greater certainty than that, so probability cannot be greater than 1.
The z-score, for a value z, is the probability that a Standard Normal random variable will have a value greater than z.
A very high probability if your numbers are greater than 78.
The probability of an event is defined as the ratio of favourable outcomes to total outcomes. In the case of discrete distributions these will be represented by numbers, while for continuous distribution they will be measured as areas. In either case, the first measure is non-negative and the second is positive and so the probability is greater than 0. Also, the number of favourable outcomes cannot be greater than the total so the probability must be at most 1.
Probability cannot be greater than 1.