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Ludmilka [50]
4 years ago
7

Find the independent and dependent variables y=x2-24x+3

Mathematics
1 answer:
Slav-nsk [51]4 years ago
4 0

Answer:

The independent variable is "x."

The dependent variable is "y."

Step-by-step explanation:

An independent variable is a variable that does not depend on an event.  It is independent of another variable.  It does not change as a result of another variable.  It remains constant as it is controlled.  It is used to measure the dependent variable.

A dependent variable varies.  It depends on the independent variable for its outcome.  It can yield various results depending on how the independent variable is changed.  "y" in our example will change its value because of the value placed on "x."  The dependent variable is the variable that is being measured or tested in an experiment.  For example, the sales revenue of goods is a dependent variable of another independent variable like price and a constant (quantity).

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Answer:

no it is not able to be factored

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3 years ago
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1. Suppose an online retailer has determined that if a potential customer spends more than 5 minutes on their site, that the pro
vredina [299]

Using the binomial distribution, it is found that there is a 0.056 = 5.6% probability that more than 7 will make a purchase.

<h3>What is the binomial distribution formula?</h3>

The formula is:

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

C_{n,x} = \frac{n!}{x!(n-x)!}

The parameters are:

  • x is the number of successes.
  • n is the number of trials.
  • p is the probability of a success on a single trial.

In this problem:

  • There are 12 customers, hence n = 12.
  • The probability of any of them making a purchase is of p = 0.4.

The probability that more than 7 will make a purchase is given by:

P(X > 7) = P(X = 8) + P(X = 9) + P(X = 10) + P(X = 11) + P(X = 12).

Hence:

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 8) = C_{12,8}.(0.4)^{8}.(0.6)^{4} = 0.042

P(X = 9) = C_{12,9}.(0.4)^{9}.(0.6)^{3} = 0.012

P(X = 10) = C_{12,10}.(0.4)^{10}.(0.6)^{2} = 0.02

P(X = 11) = C_{12,11}.(0.4)^{11}.(0.6)^{1} \approx 0

P(X = 12) = C_{12,12}.(0.4)^{12}.(0.6)^{0} \approx 0

Then:

P(X > 7) = P(X = 8) + P(X = 9) + P(X = 10) + P(X = 11) + P(X = 12) = 0.042 + 0.012 + 0.02 + 0 + 0 = 0.056.

0.056 = 5.6% probability that more than 7 will make a purchase.

More can be learned about the binomial distribution at brainly.com/question/24863377

3 0
2 years ago
You have a coupon for 5$ off you total bill at mama’s meal on main how much will you pay after using the coupon if your bill was
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Answer:

b-5

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because you are using the coupon which means to subtract since you are saving $ 5  from b dollars

6 0
3 years ago
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Vera_Pavlovna [14]

Answer:

Step-by-step explanation:

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Hope that helps!

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6 0
3 years ago
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