When two random variables X and Y are considered to be independent, it means that neither X's distribution nor Y's values have any bearing on the other.
<h3>What do you mean by independent random variable?</h3>
A random variable is a variable used in an experiment, such as the number of coin tosses or card draws. An independent random variable is a random variable in your experiment that doesn't affect the other random variables. In other words, it has no impact on the likelihood that another event will occur. For illustration, suppose you randomly selected 50 bags of sugar from various grocery stores in order to determine the average weight of a bag of sugar. The factors are independent since you wouldn't anticipate the weight of one bag having an impact on another. A dependent random variable, on the other hand, does have an impact on the probability of other random variables.
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Alice has 36 possibilities of choosing ,Bob 126 and Kevin 84.
Alice, Bob and Kevin
7 different Flavors:
Chocolate
Vanillla
mint chip
strawberry
cookie dough
banana
caramel
The order of the 9 scoops does not matter.
_ _ _ _
a) How many ways can she choose her 9 scoops so she gets at least 1 scoop of each flavor?
Since there are 7 flavors, and she wants at least one of each then we have:

Alice has 36 possibilites of choosing
b) Bob
Since Bob can't eat too much he can't do no more than 4

Bob has 126 possibilities of making his choice.
c) Kevin
3 scoups of banana or 3 scoups of strawberries.
Considering He wants 9 scoups.

Kevin has 84 possibilities for banana or strawberries
Answer:
I am pretty sure it is the first one
Step-by-step explanation:
Because it is (1, 6) on the graph
Sooooooo. . . ye!
(I'm sorry I couldn't explain more detailed)
Answer:
x = 91/11
Step-by-step explanation:
1. x - 3/11 = 8
2. add 3/11 to both sides of the equation
3. x = 91/11
Answer:
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