Lainey bought a set of 20 markers for $6 what is the cost of one market
1 answer:
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Answer:
Solve for the first variable in one of the equations, then substitute the result into the other equation.
Point Form:
( 1 , − 2 )
Equation Form:
x = 1 , y = − 2
Step-by-step explanation:
Graph.
y = 3 x − 1
y = x + 1
y = − x − 1
y = x + 1
Answer:
a) For this case we define the random variable X="number of car owners in a random sample of 12 who get the maintenance service done on their cars according to the schedule recommended by the auto company". And for this case the distribution for X is:
And the possible values for the random variable are X=0,1,2,3,4,5,6,7,8,9,10,11,12
b) Using the probability mass function we got:
Step-by-step explanation:
Previous concepts
A Bernoulli trial is "a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success is the same every time the experiment is conducted". And this experiment is a particular case of the binomial experiment.
The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".
The probability mass function for the Binomial distribution is given as:
Where (nCx) means combinatory and it's given by this formula:
Solution to the problem
Part a
For this case we define the random variable X="number of car owners in a random sample of 12 who get the maintenance service done on their cars according to the schedule recommended by the auto company". And for this case the distribution for X is:
And the possible values for the random variable are X=0,1,2,3,4,5,6,7,8,9,10,11,12
Part b
Find to 3 decimal places the probability that exactly 3 car owners in a random sample of 12 get the maintenance service done on their cars according to the schedule recommended by the auto company.
Using the probability mass function we got: