The exponential distribution is usually used to model the: a. The time of arriva

Question

The exponential distribution is usually used to model the: a. The time of arrival of certain events b. The number of arrivals of certain events In the 3 sigma rule for Gaussian distributed random variables approximately 95% of the random variable values lie within one standard deviation from the mean: a. True b. False For two correlated RV's X and Y, the correlation coefficient value that will X will accurately indicate an increase in Y is: a. 1 c. 0 The strict sense stationary processes are easier to handle than wide sense stationary processes a. True b. False . If the EX(t)] of a stochastic process 1, and the autocorrelation Rx(t,T)- sin(2n(t+T)f), then this process is: a. Strict Sense Stationary b. Wide Sense Stationary c. Neither SSS nor WSS

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a) The exponential distribution is a distribution that is used to model the time until an event occurs (how long does a light bulb last) or time between events

A option

b) In statistics, the 68–95–99.7 rule is a shorthand used to remember the percentage of values that lie within a band around the mean in a normal distribution with a width of two, four and six standard deviations, respectively; more accurately, 68.27%, 95.45% and 99.73% of the values lie within one, two and three standard deviation

False

c) 1

A option

d) False

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