Answer:
The answers are in solutions.
Step-by-step explanation:
- Four businessmen invested a sum of Rs. 250,000 in the ratio of 3:5:7:10 to start a new business.
(i) The amount invested by each businessman is;
<u>1^st businessman invested:</u>
<u />
Rs. 30,000
<u>2^nd businessman invested:</u>
<u />
<u />
= Rs. 50,000
<u>3^rd businessman invested:</u>
<u />
<u />
= Rs. 70,000
<u>4^th businessman invested:</u>
<u />
= Rs. 100,000
- If they gained Rs. 50,000
(ii) The profit each one of them got is;
<u>1^st businessman got:</u>
<u />
<u />
= Rs. 6,000
<u>2^nd businessman got:</u>
<u />
<u />
= Rs. 10,000
<u>3^rd businessman got:</u>
<u />
<u />
= Rs. 14,000
<u>4^th businessman got:</u>
= Rs. 20,000
Step-by-step explanation:
- 1 plain chocolate and 1milk chocolate
- 1 plain chocolate and 1 white chocolate
- 1 milk chocolate and 1 white chocolate
<h3>we have to it like that only right??</h3>
Answer:
I think the question is not correct because it can't be factorize
Step-by-step explanation:
<span>1 perpendicular bisector divides 1 side of the triangle into two equal lengths at a 90 degree angle. So if there's is three perpendicular bisectors, then it splits all three sides the triangles into equal lengths.
Angle bisectors splits an angle of a triangle into two even degrees.
</span>
<span>
</span>
<span>EX: if it is an equilateral triangle, each angle will be sixty degrees. Therefore, ONE angle bisector will split ONE of the angles into even degrees of thirty degrees. </span>
Answer:
The center/ mean will almost be equal, and the variability of simulation B will be higher than the variability of simulation A.
Step-by-step explanation:
Solution
Normally, a distribution sample is mostly affected by sample size.
As a rule, sampling error decreases by half by increasing the sample size four times.
In this case, B sample is 2 times higher the A sample size.
Now, the Mean sampling error is affected and is not higher for A.
But it's sample is huge for this, Thus, they are almost equal
Variability of simulation decreases with increase in number of trials. A has less variability.
With increase number of trials, variability of simulation decreases, so A has less variability.