Luis could make 0, 1, 2 or 3 touchdowns. We know that in the past he
made 0 touchdowns 4 times, 1 touchdown 7 times, 2 touchdowns 9 times and 3 touchdowns 6 times. To make a probability distribution table, add up 4, 7, 9 and 6; the sum is 26. Thus, based upon past experience, the probability of his making 0 touchdowns is 4/26, of 1 touchdown 7/26, of 2 touchdowns, 9/26 and of 3 touchdowns 6/26: {0.154, 0.269, 0.346, 0.231}. Important: Note that these four decimal probabilities add up to 1, as they must.
The empirical probability of Luis' scoring 2 touchdowns is 0.346.
To find the probability of his scoring more than 1 touchdown, add together the probabilities of his scoring 2 and 3 touchdowns: 0.346+0.231 = 0.577.
The expected value can be calculated as follows:
0(0.154) + 1(0.269) + 2(0.346) + 3(0.231). Note that each term in this expression comes from {0, 1, 2, 3}, and that the fractions all represent the probabilities of each of these four possible outcomes.
The sum is 1.65. This is the "expected value" of the number of touchdowns Luis will likely make. 1.65 is obviously more than 0 or 1 touchdowns, but less than 3 or 4 touchdowns.
Multiply the like terms
(3x * -x) times (6 *2)
-3x. Times 12
Answer:
m∠R = 60° and AB ≅ MQ
m∠Q = 56° and CB ≅ RQ
Step-by-step explanation:
Given data :
Prove ΔABC ≅ ΔMQR using SAS
The missing information to prove ΔABC ≅ ΔMQR using SAS
Answer:
the range is 765
Step-by-step explanation:
to find range you must find the largest and smallest number and subtract
