Answer:
No, it is not okay to conduct the simulation this way.
Step-by-step explanation:
In statistics, simulation refers to a technique that is employed to model random events so that the results obtained from using the simulation is significantly similar to the results obtained from observing the real-world.
Researchers are therefore able to understand the real world when they observe the simulated outcomes.
From the description above, it can be seen that simulation is about studying random events. Therefore, a sample of the population that will be used in the simulation must be selected through a random sampling.
Random sampling refers to the sampling method that gives equal opportunity of being selected to each member of the population. This makes the sample selected through random sampling technique to be an unbiased representation of the total population.
As a result, making up 31 numbers between 1 and 365 by the student is not a random sampling, because his method may favor some numbers over others. It is therefore a defective method of carrying out simulation.
Therefore, the it is not okay to conduct the simulation this way.
I wish you the best.
The path of the ball is an illustration of absolute equation.
The equation of the path is: 
The given parameters are:
--- the vertex (i.e. the point where the ball hits the wall)


An absolute function is represented as:

Substitute 

Substitute
for x and y


Remove absolute bracket

Collect like terms


Solve for a

Simplify

Substitute
in 

Hence, the equation of the path is: 
See attachment for graph that models the path
Read more about absolute equations at:
brainly.com/question/2166748
Answer:
a)
Step-by-step explanation:
The standard deviation is a measure that tells us how far measures tend to be from the mean. A low standard deviation gives us values closer to the mean than a high standard deviation. Usually 68% of the data falls within one standard deviation of the set.
Thus, the most accurate answer would be a) Around 70% of the scores will be located within one standard deviation of the mean
Essentially look at your formula sheets, Take notes on your assessment questions and you should be fine.