For this case we have that by definition, the volume of a cube is given by:
Where:
l: It's the side of the cube
According to the statement data:
Substituting in the formula we have:
Thus, the shipping cube volume is
Answer:
Answer:
$1015.11
Step-by-step explanation:
Compounded interest rate formula: A = P(1 + r/n)^t
Step 1: Plug in known variables
A = 1000(1 + 0.005/12)^36
Step 2: Multiply it all together
1000(1.00042)^36
1000(1.01511)
1015.11
This is a pretty bad bank considering only giving you .5% interest per month.
Using Vieta's Theorem, it is found that c = 72.
<h3>What is the Vieta Theorem?</h3>
- Suppose we have a quadratic equation, in the following format:
The Theorem states that:
In this problem, the polynomial is:
Hence the coefficients are 
.
Since the difference of the solutions is 1, we have that:
Then, from the first equation of the Theorem:
Now, from the second equation:
To learn more about Vieta's Theorem, you can take a look at brainly.com/question/23509978
Answer
455
Step-by-step explanation:
(1×1) + 1 = 2
(2×2) + 2 = 6
(6×3) + 3 = 21
(21×4)+4 = 88
(88×5)+5 = 445
Answer:
Option C
Step-by-step explanation:
Point diagrams show the frequency of occurrence of a series of events after a certain number of trials. In this case, the trials were 100. During each trial it would have been possible to have proportions of {0.24, 0.25, 0.26, 0.27, 0.28 ..... 0.56}
The events with the highest probability of occurrence are those with the highest number of points in the diagram.
Note that the distribution of the points resembles a bell, with a peak (greater clustering of points) between 0.35 and 0.41.
This indicates that it is more likely that the proportion of employees who go to work in bicycles will be between 0.35 and 0.41.
Then the diagram seems to indicate that a proportion less than 0.30 or greater than 0.45 is unlikely (they have less number of points)
Based on this analysis, it can be concluded that the correct option is c)
c) It is plausible that 40% of the population rides a bike to work because the data shows that a sample proportion of 29% is unlikely.
