Answer:
11 * I
Unless you can tell me what I is equal to, I can't give you a number as an answer. Just take what ever I is equal to, an multiply it by 11. If the answer choices are equations rather than numbers, than just say 11 * 1.
If the question comes with any more information, please comment so I can give you a stronger answer.
Hope this helps! :)
-Sophia
The true statement about the sequence of transformations is it includes exactly two rigid transformations.
<h3>How to determine the true statement?</h3>
The transformation statement is given as:
a sequence of transformations that rotates an image and then translates it in order to map it onto another image
This can be split as follows:
- A sequence of transformations that rotates an image
- Then translates it in order to map it onto another image
Translation and rotation are rigid transformations
This means that the size and the angle of the shape that is transformed will remain the same
Hence, the true statement about the sequence of transformations is it includes exactly two rigid transformations.
Read more about transformation at
brainly.com/question/4289712
#SPJ1
Answer:
50 Oranges is your answer.
Step-by-step explanation:
Lets see..
4 kg = 4000 grams mainly because 1kg = 1000 grams in total.
4000 grams divided by 80 grams will give you the number of oranges that the box has since each orange weighs 80 grams.
4000/80 = 50.
hope this helps!
Using conditional probability, it is found that there is a 0.1165 = 11.65% probability that a person with the flu is a person who received a flu shot.
Conditional Probability
In which
- P(B|A) is the probability of event B happening, given that A happened.
is the probability of both A and B happening.
- P(A) is the probability of A happening.
In this problem:
- Event A: Person has the flu.
- Event B: Person got the flu shot.
The percentages associated with getting the flu are:
- 20% of 30%(got the shot).
- 65% of 70%(did not get the shot).
Hence:
The probability of both having the flu and getting the shot is:
Hence, the conditional probability is:
0.1165 = 11.65% probability that a person with the flu is a person who received a flu shot.
To learn more about conditional probability, you can take a look at brainly.com/question/14398287
Answer:
The approximate probability is 0.7325.
Is not unlikely that a driver in that age bracket is involved in a car crash during a year, so there are reasons to be concerned.
Step-by-step explanation:
The approximate probability can be estimated using the sample proportion:
A probability of 0.7325 is high, so it is not unlikely that a driver in that age bracket is involved in a car crash during a year.
As this value is high, there is reasons to be concerned about it.
