First calculate the change in y over the change in x:
by - ay -1 - 1 -2
———— = ——— = —— = 1
bx - ax -2 - 0 -2
The slope is 1:
Second set up the equation in y = mx + b form (m is your slope!) ...
y = (1)x + b
... and plug in either point you have used (A or B)
A(0,1)
1 = (1)(0) + b
1 = b
Now you have your equation: y = 1x + 1
Your final step is to plug in point C to solve for your missing variable:
y = (1)(5) + 1
y = 6
the value of H therefore is 6
Based on the payoffs and the probabilities given, we can calculate the mean to be <u>0.8 shots made. </u>
<h3>What is the mean?</h3>
The mean in this scenario will be a weighted average of the probabilities that a number of shots will be made.
The mean will be:
<em>= ∑ (Number of shots x Probability of number of shots)</em>
= (0 x 0.36) + (1 x 0.48) + (2 x 0.16)
= 0.8 shots
In conclusion, the mean is 0.8 shots.
Find out more about weighted average at brainly.com/question/18554478.
Answer:
b. The number of digits in a randomly selected row until a 3 is found.
Explanation:
A random variable often used in statistics and probability, is a variable that has its possible values as numerical outcomes of a random experiment or phenomenon. It is usually denoted by a capital letter, such as X.
In statistics and probability, random variables are either continuous or discrete.
1. A continuous random variable is a variable that has its possible values as an infinite value, meaning it cannot be counted.
2. A discrete random variable is a variable that has its possible values as a finite value, meaning it can be counted.
Also, any random variable that meets certain conditions defined in a research study.
Hence, an example of a geometric random variables is the number of digits in a randomly selected row until a 3 is found.
