ASAP

According to this article, one can make due that Patrick Mahomes has a probability of winning an MVP at 0.5555555556 by having 30/54. How can one finish the other MVP probabilities? How can you find the others if the method is their position multiplied by his team's chances of winning?
https://en. wikipedia. org/wiki/Super_Bowl_Most_Valuable_P layer_Award

Stage one: Assuming randomness (which is technically wrong, but c'est la vie), find the historical (experimental) probability that a given position wins the MVP of the super bowl. A list of winners is on Wikipedia which is acceptable for this project. There have been 54 super bowls so far, so your probabilities will be out of 54.

Find the experimental probability that a QB wins the MVP:
A running back (RB):
A wide receiver (WR): (Consider Desmond Howard to be a WR)
A tight end (TE): (this one's pretty easy)
A defensive player (DEF):
Once you figure out each probability, go on to stage two.

1. ∠1 is complementary to ∠2 and ∠3 is complementary to ∠2. subtraction property of equality 2. m∠1 + m∠2 = 90 and m∠3 + m∠2 = 90 substitution 3. m∠1 + m∠2 = m∠3 + m∠2 definition of complementary 4. m∠1 = m∠3 given

Determine if the following statement is true or false. the normal curve is symmetric about its​ mean, mu. choose the best answer below. a. the statement is false. the normal curve is not symmetric about its​ mean, because the mean is the balancing point of the graph of the distribution. the median is the point where​ 50% of the area under the distribution is to the left and​ 50% to the right.​ therefore, the normal curve could only be symmetric about its​ median, not about its mean. b. the statement is true. the normal curve is a symmetric distribution with one​ peak, which means the​ mean, median, and mode are all equal.​ therefore, the normal curve is symmetric about the​ mean, mu. c. the statement is false. the mean is the balancing point for the graph of a​ distribution, and​ therefore, it is impossible for any distribution to be symmetric about the mean. d. the statement is true. the mean is the balancing point for the graph of a​ distribution, and​ therefore, all distributions are symmetric about the mean.

Acylinder with a radius of 1 cm and a height of 21 cm has the same volume as a cone with a height of 7 cm. what is the radius of the cone? a) 3 cm b) 5 cm c) 7 cm d) 9 cm