Answer: 0.1
Step-by-step explanation:
Given
Bag-I has 2 blue,3 orange, 5 red
Bag-II has 4 Pink,10 blue, 6 brown
No of ways of choosing a blue marble from bag-I
Total no of ways of choosing a marble from bag-I
No of ways of choosing a blue marble from bag-II
Total no of ways of choosing a marble from bag-II
The probability that he will pull out a blue marble from each bag is
Answer:
The two graphs are perpendicular
Step-by-step explanation:
The slope of the first one is the reciprocal of the second. Also I graphed it.
In order to determine which subset it belongs, we must rewrite
as
All these three numbers are irrational numbers, hence their product is also irrational
<h2>
</h2><h2>belongs to the set of
irrational numbers</h2>
Real life scenarios of acute angles are:
- Sighting a ball from the top of a building at an angle of 55 degrees.
- The angle between two adjacent vanes of a fan that has 6 vanes
<h3>What are acute angles?</h3>
As a general rule, an acute angle, x is represented as: x < 90
This means that acute angles are less than 90 degrees.
<h3>The real life scenarios</h3>
The real life scenarios that involve acute angles are scenarios that whose measure of angle is less than 90 degrees.
Sample of the real life scenarios that satisfy the above definition are:
- Sighting a ball from the top of a building at an angle of 55 degrees.
- The angle between two adjacent vanes of a fan that has 6 vanes
Read more about acute angles at:
brainly.com/question/3217512
#SPJ1
This is an example of "a stratified sample".
<u>Answer:</u> Option B
<u>Explanation:</u>
A group-based sampling process that can be divided into subpopulations. For statistical studies, testing of each subpopulation separately may be useful if subpopulations within a total population differ, thus understood as "Stratified sampling".
One might, for instance, divide a adults sample into subgroups in terms of age, like 18 to 29, 30 to 39, 40 to 49, 50–59 etc with decided age difference as needed. A stratified sample may be more accurate than an easy sample of the similar size by random. As it offers more accuracy, a stratified sample sometimes involves a smaller sample, saving money.
