Mean measure of central tendency is the most affected by outliers. Then the correct option is B.
<h3>What is Mean?</h3>
The mean is the straightforward meaning of the normal of a lot of numbers. In measurements, one of the markers of focal propensity is the mean. The normal is alluded to as the number-crunching mean. It's the proportion of the number of genuine perceptions to the absolute number of perceptions.
Mean measure of central tendency is the most affected by outliers.
Then the correct option is B.
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The Bernoulli distribution is a distribution whose random variable can only take 0 or 1
- The value of E(x2) is p
- The value of V(x) is p(1 - p)
- The value of E(x79) is p
<h3>How to compute E(x2)</h3>
The distribution is given as:
p(0) = 1 - p
p(1) = p
The expected value of x2, E(x2) is calculated as:

So, we have:

Evaluate the exponents

Multiply

Add

Hence, the value of E(x2) is p
<h3>How to compute V(x)</h3>
This is calculated as:

Start by calculating E(x) using:

So, we have:


Recall that:

So, we have:

Factor out p

Hence, the value of V(x) is p(1 - p)
<h3>How to compute E(x79)</h3>
The expected value of x79, E(x79) is calculated as:

So, we have:

Evaluate the exponents

Multiply

Add

Hence, the value of E(x79) is p
Read more about probability distribution at:
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Answer:
54
Step-by-step explanation:
Given:

Input the numbers provided into the equation
3(2 + 3 + 4)2
Add all of the numbers inside the parentheses
3(9)2
Multiply
3 * 2 = 6
6 * 9 = 54
Answer:
Step-by-step explanation:
Given that X is the number of months between successive payments
Cumulative distribution function of X is

a) PMF of x would be

b) 
Answer:
x = 8
Step-by-step explanation:
→ Add 16 to both sides
x = 8