Answer:
The probability that she will not get a hit until her fourth time at bat in a game is 0.103
Step-by-step explanation:
Previous concepts
The geometric distribution represents "the number of failures before you get a success in a series of Bernoulli trials. This discrete probability distribution is represented by the probability density function:"
Let X the random variable that measures the number os trials until the first success, we know that X follows this distribution:
Solution to the problem
For this case we want this probability
And using the probability mass function we got:
The probability that she will not get a hit until her fourth time at bat in a game is 0.103
Is this 13 and 34 ? or 1,3,3,4?
Answer:
y-intercept : -7
x-intercept : 7/5
Step-by-step explanation:
<em>FOR</em><em> </em><em>Y</em><em> </em><em>intercept</em><em> </em><em>put</em><em> </em><em>x</em><em> </em><em>=</em><em>0</em><em> </em><em>in</em><em> </em><em>the</em><em> </em><em>equation</em>
<em>FOR</em><em> </em><em>x</em><em> </em><em>intercept</em><em> </em><em>put</em><em> </em><em>y</em><em>=</em><em>0</em><em> </em><em>in</em><em> </em><em>the</em><em> </em><em>equa</em><em>tion</em><em>!</em>
<em> </em><em>✌️</em><em>;</em><em>)</em>
Answer:
I think the answer is D. (2,6,8) because if the ones on the right are y - coordinates in the Function then it should be correct. If not sorry
(Range is y - coordinate)
(Domain is x - coordinate)
Answer: 3(3x−4) is the answer
