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Which two of the following statements are true?  a) Skewness studies the flatness or peakedness of the distribution  b) A positively skewed distribution curve is stretched more to the right than to the left  c) On the basis of empirical relationship between mean, mode and median for moderately asymmetrical distribution, Karl Pearson's coefficient of skewness can be measured by 3 (Mean -Median) divided by Standard Deviation  d) If mean < mode, the distribution is positively skewed  Choose the correct option from those below: 
Consider a Poisson distribution for the tossing of a biased coin. The mean for this distribution is μ. The standard deviation for this distribution is given by
The following two statements relate to probability distributions. Choose the correct statements being correct or incorrect.
Statement I When 'p' and 'q' are equal in the binomial distribution, the shape of the distribution is perfectly symmetrical irrespectiveof the size of 'n'.
Statement II The mean and the variance of poisson distribution are not equal.
The arrival rate of customers at a service window of a cinema hall follows a probability distribution with a mean rate of 45 per hour. If the service rate of the clerk follows poisson distribution, with a mean of 60 per hours, what is the probability of having no customer in the system?
Consider a random variable to which a Poisson distribution is best fitted. It happens that P(x = 1) = $$\frac{2}{3}$$P(x = 2) on this distribution plot. The variance of this distribution will be
Statement I Exponential probability distribution has the mean = $$\frac{1}{\mu }$$ and variance = $$\frac{1}{{{\mu ^2}}}$$
Statement II The mean, median and mode do not coincide in the normal distribution.
Statement III The binomial distribution is symmetrical for any value of p (probability of success).
In a service centre, cars arrive according to Poisson distribution with a mean of two cars per hour. The time of servicing a car is exponential with a mean of 15 minutes. The expected waiting time (in minute) in the queue is
The Poisson distribution comes under which probability distribution?
For a Poisson distribution, parameter λ is having a value of 7. What is the variance for the distribution?
Which theory predicts the chromatographic elution peak approximate to distribution related to Poisson distribution?