i) The lifetime can be modeled using an exponential distribution. The claim of 3.5 years of life can be used as the average life time of battery.
Let X years be the lifetime of any given battery. We can say
that X has an Exponential distribution with mean 3.5 years and
parameter
ans: Let X years be the lifetime of any given
battery. X has an Exponential distribution with parameter
The cdf of X is
The conditional probability that the battery lasts until the claimed average (which is 3.5 years or more ) given that it has lasted 3 years is
ans: If a battery lasted 3 years, the probability that the battery lasts until the claimed average is 0.8669
ii) Since the data looks bell shaped and centered around 40g , we can assume a normal distribution with mean 40 g
ans:
Let X be the weight of a randomly selected mouse fed with the
new nutrient mix. We can say that X is normally distributed with
mean
and standard deviation
iii) The number of calls per hour can be modeled using a Poisson process with a rate 15 calls per hour
ans: Let N(t) be the number of calls in a time
period t hours. We can say that N(t) is a Poisson process with rate
The pmf of N(t) is
The probability of seeing at least 1 customer (customer call?) in a 2 hour time frame (t=2) is
ans: The probability of seeing at least 1 customer in a 2 hour time frame is 1
For each situation described, determine an appropriate distribution to model the situation, and (if the information...