Addition Rule of Probability
It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.
Expected Value
When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known as the expectation, is denoted by: E(X).
Probability Distributions
Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosing a card. Each of these events has multiple possibilities. Every such possibility is measured with the help of probability. To be more precise, the probability is used for calculating the occurrence of events that may or may not happen. Probability does not give sure results. Unless the probability of any event is 1, the different outcomes may or may not happen in real life, regardless of how less or how more their probability is.
Basic Probability
The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the probability value 1 indicates that the event will occur. Sum of the probability value must be 1. The probability value is never a negative number. If it happens, then recheck the calculation.
![2. Now, as discussed in class, the absolute value function is formally defined as
z, if a 20
-{-3,if z<0
S(z) = |z| =
a) Sketch the graph of this function.
b) What is the only critical point of this function? Explain.
c) Would the critical point change in any way if we would consider g(x) = 2|x| instead
of f(x) = |x|? Explain why or why not.
3
3. Apply the Chain Rule and explain the differences among the following four ex-
amples from the point of view of differentiation. Compute explicitly each one of the
given derivatives:
(cos(5z)) =
Ccon(z")) =
dr
cos"(z) =
and
d
(cos(sin(5æ))) =
dz
4. Now, as explained in class, recall that some functions are defined implicitly by a
relation between z and y such as r² + y² = 4. In such cases, differentiating with respect
to a both sides helps us compute y'= 4. We should be careful, however, with the Chain
Rule that needs to be applied in the way. That is, if y is assumed to be a function of æ,
then
(y²)' = 2y(y/')
(e")' = (e")y/
and so on.
This process is called impne amerenciationr](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fea28b5dc-5a54-4ee8-a70d-9eb612aed6af%2F79bd547f-22c1-40a9-bdc3-be07b5e06b5e%2F4c6t8ok_processed.jpeg&w=3840&q=75)
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