Let the following sets be given. The universal set for this problem is the set of all students at some university. F = the set o
f all freshmen S = the set of all seniors M = the set of all math majors C = the set of all CS majors Using only the symbols F, S, M, C, ||, ∩, ∪, ', and >, translate the following statement into the language of set theory. There are more freshmen who aren't math majors than there are senior CS majors.
1 answer:
Answer:
|M'∩F| > |S∩C|
Step-by-step explanation:
<h3 /><h3>The situation is depicted in the picture attached </h3>The green set is
M'∩F = freshmen who aren't math majors and it has |M'∩F| elements
The blue set is
S∩C = senior CS majors and it has |S∩C| elements.
So <em>“There are more freshmen who aren't math majors than there are senior CS majors”</em> can be written as
|M'∩F| > |S∩C|
You might be interested in
Answer:
Step-by-step explanation:
We have been given a function . We are asked to find the zeros of our given function.
To find the zeros of our given function, we will equate our given function by 0 as shown below:
Now, we will factor our equation. We can see that all terms of our equation a common factor that is .
Upon factoring out , we will get:
Now, we will split the middle term of our equation into parts, whose sum is and whose product is
. We know such two numbers are
.
Now, we will use zero product property to find the zeros of our given function.
Therefore, the zeros of our given function are .
Given that half of the personal music players sold by a particular brand have a flaw. If the player has the flaw, it dies in the first six months. If it does not have this flaw, then only 20% fail in the first six months.
Let A be the event that it fails in I 6 months
B1 = it has a flaw
B2 = it does not have a flaw
B1 and B2 are mutually exclusive and exhaustive
the chances that it has this flaw
=The probability that it has the flaw is
Let A be the event that it fails in I 6 months
B1 = it has a flaw
B2 = it does not have a flaw
B1 and B2 are mutually exclusive and exhaustive
the chances that it has this flaw
=The probability that it has the flaw is