Each division set gives the outcome of the operation 1.45 ÷ 5 which is 0.29.
- The number of hundredths in each division set is <u>D. 9</u>
Reasons:
The given Hunter's model consists of the following
One 10 × 10 number block
Four sets of a column of 10 cubes
Five individual cube pieces
Therefore;
In 1.45, we have;
1 unit
4 tenths
5 hundredths
Which gives;
Each single cube can be used to represent a hundredth in 0.05
One cube = 0.01
Each set of 10 cubes represents a tenth in 0.4
Each block of 10 by 10 can be used to represent the unit; 1
Dividing each of the 10 × 10 can be divided to sets of 20 blocks with a value of 0.2 each
The 4 sets of 10s can be divided by 5 to give sets of 8 with a value of 0.08
The 5 cubes divided 5 gives five cubes with each cube having a value of 0.01.
Therefore;
The value of each division set is 0.2 + 0.08 + 0.01 = 0.29
The number of hundredths in 0.29 = 9
The number of hundredths in each division set is therefore; <u>D. 9</u>
Learn more about number place value here:
brainly.com/question/184672
Step-by-step explanation:
There is no option to choose from, but the knowledge of what irrational numbers are, would help cover this cost.
A rational number is a number that can be written as a simple fraction, a/b. Examples are 1/2, 5/6,...
If a number cannot be written as a simple fraction, then it is called irrational.
Example of irrational numbers: √2, π
Answer:
904.3 cubic inches
Step-by-step explanation:
v= 4/3 π r^3
= 1.33 x 3.14 x 6^3
= 904.3 cubic inches
Answer:
there is no picture so I dont know what i have to do..
The larger the number of simulations the more likely are the results to be closest to those predicted by the probability theory.
When large number of simulations are run, some results might be higher than the results of probability theory, some results might be lower than the results of the probability theory and some might be exactly the same. So the average of all these results will be close to the results of Probability Theory. Thus, more the number of simulations, greater is the chance that the results are closer to those of simulation theory.
Thus, option A will be the correct answer.
