Respuesta :
Answer:
a) Probability distribution table:
Touchdowns scored (X) Probability
0 7/26
1 9/26
2 2/13
3 3/13
b) 2/13
c) 5 / 13
d) 1 touchdown per game
Explanation:
a) Probability distribution table
A probability distribution table shows the probability for every possible outcome from an statistical experiment.
In this case the possible events are the amount of touchdowns scored, represented by the variable X, which can take the values 0, 1, 2, and 3.
And the outcomes are the number of games (f) for each value of the variable X, which are 7, 9, 4, and 6 (in the same order).
The probability for each event is calculated from the basic formula:
- Probability = number of favorable outcomes / number of total outcomes
Which, for this case is:
- Probability of scoring X touchdowns = number of times X touchdowns were scored / number of games played
The number of games played is: 7 + 9 + 4 + 6 = 26
For X = 0:
- P (X = 0) = 7 / 36
For X = 1:
- P (X = 1) = 9 / 26
For X = 2:
- P (X = 2) = 4 / 26 = 2 / 13
For X = 3:
- P (X = 3) = 6 / 26 = 3 / 13
You can check that you have taken into account all the events by adding the probabilitities and checking the sum is equal to 1:
- 7 /26 + 9 /26 + 4 / 26 + 6 / 26 = 26 / 26 = 1
Thus, the probability distribuition table is:
Touchdowns scored (X) Probability
0 7/26
1 9/26
2 2/13
3 3/13
b) Probability of Luis scoring 2 touchdowns
That is the result shown in the table for X = 2: it is 2 / 13 ≈ 0.15
c) Probability of Luis scoring more than 1 touchdown
You have to add the probabilities for every event that represents that Luis scored more than 1 touchdown. That is X = 2 and X = 3.
- P (X > 1) = P (X = 2) + P (X = 3) = 2/13 + 3/13 = 5/13 ≈ 0.38
d) Estimated value of the number of touchdowns Luis scores
That is the expected valvue E(X).
The formula is:
- [tex]E(X)=\sum\limits^{i=4}_{i=0} {x_i\times P(i)}[/tex]
Then, the computations are:
- [tex]E(X)=0\times 7/26+1\times 9/26+2\times4/26+3\times 6/26=35/26=1.3[/tex]
Then, the estimated value is 1 touchdown per game.