Answer:
The strategy Pedro tend to do isn't worth, because using rigid transformation to place on figure onto the other won't prove that those figures are similar, but it would prove if they are congruent.
Remember that similarity is about proportionality between dimensions of those figures, so it's not about congruence. That means the figures won't match when we place one onto the other.
To prove similarity, Pedro should divide each pair of corresponding coordinate, if all divisions give the same result, that means those figures are similar.
<h3>Therefore, Pedro is not right.</h3>
Answer:
b) Binomial
c) Poisson
Step-by-step explanation:
The geometric distribution is the number of trials required to have r successes. The measures the number of sucesses(wins), not the number of trials required to win r games. So the geometric distribution does not apply.
For each match, there are only two possible outcomes, either the skilled player wins, or he does not. The probability of the skilled player winning a game is independent of other games. So the binomial distribution applies.
We can also find the expected number of wins of the skilled player, which is 15*0.9 = 13.5. The Poisson distribution is a discrete distribution in which the only parameter is the expected number of sucesses. So the Poisson distribution applies.
So the correct answer is:
b) Binomial
c) Poisson
Answer:creo que es la E
Step-by-step explanation:
Answer:
1.4
Step-by-step explanation:
hope it helped
Answer:
d. g(x) = -7x - 4
Step-by-step explanation:
If it is reflected over the x-axis, there is a negative sign to the x term.
There is a shift of 4 units, so it is -4.
