I think that it is c or d but correct me if i am wrong
Hello,
Using vectors and scalar product:
![[(a+c)*\vec{i}+(b-0)*\vec{j} ].[(a-c)*\vec{i}+(b-0)*\vec{j}]=0](https://tex.z-dn.net/?f=%5B%28a%2Bc%29%2A%5Cvec%7Bi%7D%2B%28b-0%29%2A%5Cvec%7Bj%7D%20%5D.%5B%28a-c%29%2A%5Cvec%7Bi%7D%2B%28b-0%29%2A%5Cvec%7Bj%7D%5D%3D0%20)
Thus

By the way how can we make text larger in latex \larger{.....} don't work.
Answer A
<h3>
Answer:</h3>
67 miles
<h3>
Step-by-step explanation:</h3>
On Monday, Jullo ran <u>39 miles.</u>
On Tuesday, he ran <u>24 miles.</u>
On Wednesday, he ran <u>4 miles.</u>
<u>Finding the total miles:</u>
Total miles ran on Monday, Tuesday, and Wednesday = 39 + 24 + 4
= 67 miles
Answer:
The answer to your question is:
Fraction he has review = 17/36
Fraction he have to study = 19/36
Step-by-step explanation:
Data
Monday studied = 2/9
Tuesday = 1/4
Fraction he has review = ?
Fraction he has left = ?
Process
As the denominator is 9, consider the whole is 9.
Then: Fraction left on Monday = 9/9 - 2/9
= 7 / 9
Fraction left on Tuesday = 7/9 - 1/4
= (28 - 9) / 36
= 19 / 36
Fraction he has review = 17/36
Fraction he have to study = 19/36
Answer:
Then the probability that 14 of the 19 voters will prefer Candidate A is approximately 0.1928 or 19.28%
Step-by-step explanation:
We can define X the random variable of interest "number of voters that will prefer Candidate A", since we have a sample size given and a probability of success we can use the binomial distribution to model the random variable. And on this case we can assume the following distribution:
The probability mass function for the Binomial distribution is given by:
Where (nCx) means combinatory and it's given by this formula:
For this problem we want to find this probability:

And usign the probability mass function defined before we got:
Then the probability that 14 of the 19 voters will prefer Candidate A is approximately 0.1928 or 19.28%