Answer:
The total number of elements in the sample space if the experiment has 3 stages is 64 ....
Step-by-step explanation:
The answer is C.
According to the given statement the number of equally likely sample outcomes of a single stage of an experiment is 4
To find the total number of elements in the sample space if the experiment has 3 stages, we just simply multiply 4 three times.
4³ = 4*4*4
= 64
Therefore the total number of elements in the sample space if the experiment has 3 stages is 64 ....
Let the be the time in hours, and meters of fencing completed.
We know that After three hours, they have 15 meters of fencing complete, our graph will go from the point (0,0) to the point (3,15). We also know that they decide to take a 2-hour break for lunch and then resume building the fence, so our graph will go from the point (3,15) to the the point (5,15). Finally, After four more hours, they have a fence that is a total of 55 meters long, so the final part of our graph will go from the point (5,15) to the point (9,55)
We can conclude that the graph of t vs y is:
Answer: all the zeroes of the above equation will be
(x-4)(x+4)(x-2)(x+2)
Step-by-step explanation:
Since we have given that

We need to find the zeroes of the above equation.
So, we will use "Split the middle terms" :

So, all the zeroes of the above equation will be
(x-4)(x+4)(x-2)(x+2)
Answer: 30 % Off
Step-by-step explanation:
Answer:
The maximum profit can be attained when 4 bikes are produced each day.
Step-by-step explanation:
Look at the attached picture:
In the table given in the picture, the number of bikes produces varies. We cannot properly compare the profits per day. To be consistent, let us determine the profit per unit of bike produced.The relationship between cost, revenue and profit can be as:
Profit = Revenue - Cost
To find the profit per unit of bike, simply divide the profit with the number of bikes produced (1st column). After you see the results, we can see that the highest profit is $17.5 per unit of bike produced. Therefore, the maximum profit can be attained when 4 bikes are produced each day.