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Continuous Random Variable
In the probability distribution the sum of all the probabilities was 1.
Consider the variable X denoting "Volume poured into a 100cc cup from coffee machine". X is a random variable and X can take any value between 0 to 100cc. X is said to be a continuous random variable.
It should be instinctively clear that since there are an infinite number of possible outcomes, the probability of any one outcome is 0. We instead consider the probability of a range of outcomes. Of course P(Sample Space) = 1.
Type I and type II errors When testing hypothesis (H 0 ) and deciding to either reject or accept a null hypothesis, there are four possible happenings. a) Acceptance of a t
Logarithmic Differentiation : There is one final topic to discuss in this section. Taking derivatives of some complicated functions can be simplified by using logarithms. It i
please help me in my assignment, explain Applications of Markov Chains in Business.
Derivatives The rate of change in the value of a function is useful to study the behavior of a function. This change in y for a unit change in x is
write the value of the 3 in each number
The probability of a rare disease striking a described population is 0.003. A sample of 10000 was examined. Determine the expected no. suffering from the disease and thus find out
I am comparing building a house and buying a house. which one of the option you would choose.
A piece of pipe is carried down a hallway i.e 10 feet wide. At the ending of the hallway the there is a right-angled turn & the hallway narrows down to 8 feet wide. What is the lo
Proof of Root Test Firstly note that we can suppose without loss of generality that the series will initiate at n = 1 as we've done for all our series test proofs. As well n
L'Hospital's Rule Assume that we have one of the given cases, where a is any real number, infinity or negative infinity. In these cases we have, Therefore, L'H
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