8x-y=2 ---> y=8x-2
5x-4y=3
5x-4(8x-2)=3
5x-32x+8=3
-27x+8=3
-27x=-5
x= 5/27
8(5/27)-y=2
40/27-y=2
y=-14/27
Answer:
2
Step-by-step explanation:
Step-by-step explanation:
if you divide 0 by any number you will get 0!!!
if you will substitute x for 2 you will have:
2-2/2+2 = 0/4 = 0
Answer: D: [0, ∞)
R: [0, ∞)
Step-by-step explanation:
f(x) = 1.5x
- x is the number of bottles
Domain is the x-values. The least amount of bottles you can buy is 0 and the most you can buy is infinite <em>(technically you can only buy the amount you can afford and the amount the store has to sell but for mathematical purposes you can buy an infinite amount)</em>
So, the domain (D) is x = 0 to ∞ → D: [0, ∞)
Range is the y-values. The least and most amounts are based on the domain. Since the smallest x-value is 0, input that value into the equation to solve for f(x). Similarly, input the greatest x-value to solve for f(x).
f(x) = 1.5(0)
= 0
f(x) = 1.5(∞)
= ∞
So, the range (R) is f(x) = 0 to ∞ → R: [0, ∞)
Answer:
a. X is the number of adults in America that need to be surveyed until finding the first one that will watch the Super Bowl.
b. X can take any integer that is greater than or equal to 1.
.
c.
.
d.
.
e.
.
f.
.
Step-by-step explanation:
<h3>a.</h3>
In this setting, finding an adult in America that will watch the Super Bowl is a success. The question assumes that the chance of success is constant for each trial. The question is interested in the number of trials before the first success. Let X be the number of adults in America that needs to be surveyed until finding the first one who will watch the Super Bowl.
<h3>b.</h3>
It takes at least one trial to find the first success. However, there's rare opportunity that it might take infinitely many trials. Thus, X may take any integer value that is greater than or equal to one. In other words, X can be any positive integer:
.
<h3>c.</h3>
There are two discrete distributions that may model X:
- The geometric distribution. A geometric random variable measures the number of trials before the first success. This distribution takes only one parameter: the chance of success on each trial.
- The negative binomial distribution. A negative binomial random variable measures the number of trials before the r-th success. This distribution takes two parameters: the number of successes
and the chance of success on each trial
.
(note that
) is equivalent to
. However, in this question the distribution of
takes two parameters, which implies that
shall follow the negative binomial distribution rather than the geometric distribution. The probability of success on each trial is
.
.
<h3>d.</h3>
The expected value of a negative binomial random variable is equal to the number of required successes over the chance of success on each trial. In other words,
.
<h3>e.</h3>
.
Some calculators do not come with support for the negative binomial distribution. There's a walkaround for that as long as the calculator supports the binomial distribution. The r-th success occurs on the n-th trial translates to (r-1) successes on the first (n-1) trials, plus another success on the n-th trial. Find the chance of (r-1) successes in the first (n-1) trials and multiply that with the chance of success on the n-th trial.
<h3>f.</h3>
.
Answer:
18
Step-by-step explanation:
13 + (⅔)t = 16 + (½)t
(⅔ - ½)t = 3
t/6 = 3
t = 18