Answer:
a. In a one-to-many relation, at least one (input) value maps to (more than one) (output) value. This means a one-to-many relation (cannot) be a function,
Step-by-step explanation:
<em>Hello there, and thank you for asking your question here on brainly.
<u>Short answer: A. 1272 cm</u></em>³
<em>
Why?
When finding the volume of a cone, you use the formula <u>V = </u></em><u><em>πr²h/3. </em></u><em>R = 9, H = 15. V = π9²15/3 9</em>² = <em>81 | 15 / 3 = 5 | 3.14 * 81 = 254.34 | 254.34 * 5 = 1271.2 1272 rounded.
Hope this helped you! ♥</em>
Answer:
566 ft
Step-by-step explanation:
Given the polynomial equation
-16t² + 300t + 30 = 0
We're asked to find how high the rocket would rise in a 2 second fuse rise. This is a simple instruction that can be obtained by setting the unknown, t, in the equation to 2. Doing this, we have
-16 * 2² + 300 * 2 + 30
-16 * 4 + 600 + 30
-64 + 630 = 566 ft
Then, we can therefore conclude that the rocket will rise high up to a distance of 566 ft
Answer:
The scale factor of the triangle if of 3.
Step-by-step explanation:
All you have to do is use figure A and either multiply or divide by a number to get figure B. In this case, the straight vertical side of Figure A is 6 units, and the straight vertical side of Figure B is 2. So 6 divided by 2 is 3. That means that the scale factor of the triangle is of 3. The triangle contracted it's size by 3.
Answer:
The correct option is D. No, because a random sample from all customers of the shopping mall was not selected
Step-by-step explanation:
In statistics, Bias can be described as a term which depicts error if a sample is not taken evenly or it depicts errors taken from an unjust sampling.
In statistics, sampling bias means the errors which occur if one part of the population is favoured more then the rest of the populations. In this kind of bias, the individuals for experimentation are not chosen randomly.
As the customer satisfaction survey was distributed in only one of the gates hence, it does not give a generalized result and the result is biased.
