Because they’re both the opposites of eachothers quantities
The answer
by using fundamental definition
<span>The conditional probability of event B given event A is P(B|A)=P(A and B)/P(A) when two events are not independent.
so the only true answer is A, because </span>P(B|A)=P(A) if A and B are independents<span>
(definition)</span>
Answer:
Step-by-step explanation:
Previous concepts
The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".
Solution to the problem
Let X the random variable of interest, on this case we now that:
The probability mass function for the Binomial distribution is given as:
For this case we want this probability:
And we can use the complement rule like this:
And we can find the individual probabilities like this:
And in order to do the operations we can use the following excel code:
"=1-BINOM.DIST(8,25,0.3089,TRUE)"
And we got:
The true statements are:
- Tyson's expression is not equivalent to the original expression
- The equivalent expression is:
<h3>What are equivalent expressions?</h3>
Equivalent expressions are expressions that have equal values
The original expression is given as:
Collect like terms
Evaluate the like terms
Tyler's equivalent expression is given as:
Collect like terms
Evaluate the like terms
The simplified expressions of the original expression, and Tyson's equivalent expressions are not equal.
Hence, Tyson's expression is not equivalent to the original expression
Read more about equivalent expressions at:
brainly.com/question/9603710