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Evgen [1.6K]
3 years ago
9

What is Difference Quotient used for in real life?

Mathematics
1 answer:
Vitek1552 [10]3 years ago
4 0
What they're going to do is use that formula, then let h get very small ... so small, in fact, that goes to zero "in the limit." And when you do that, you're doing elementary calculus.

Here's an example. Let's take a simple quadratic like y = x^2. This is a parabola that opens upward, but it's curving all the way. It passes through the point (2, 4), and the question is to find the slope of the line tangent to the curve at that point. (The tangent tells you the direction that the curve is pointed. This direction, of course, keeps changing.)

So we have y = f(x) = x^2, and we have your formula [f(x+h) - f(x)] / h.

[f(x+h) - f(x)] / h = [(x+h)^2 - x^2] / h = [(x^2 + 2hx + h^2) - x^2] / h = (2hx + h^2) / h = 2x + h

h is a very small number -- something like h = 0.0000000001. It's so small that you can let it go to zero without losing much, something like this, at x=2 from above:

[f(x+h) - f(x)] / h = 2x + h = 2 • 2 + 0.0000000001 = 4.0000000001 ==> 4

What you've shown is that the slope of y = x^2 at any point (x, y) is 2x. At the point (2, 4), the slope of the curve is 4.

That's elementary calculus, and it all starts with your difference quotient formula.


Does this help?
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Based on a 4-week work month and a 40-hour
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Assume that we have two events, and , that are mutually exclusive. Assume further that we know and . If an amount is zero, enter
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Answer:

Explained below.

Step-by-step explanation:

The complete question is:

Assume that we have two events, A and B, that are mutually exclusive. Assume further that we know P(A) = 0.30 and P(B) =0.40.

What is P(A and B)?

What is P(A | B)?

Is P(A | B) equal to P(A)?

Are events A and B dependent or independent?

A student in statistics argues that the concepts of mutually exclusive events and independent events are really the same, and that if events are mutually exclusive they must be independent. Is this statement accurate?

What general conclusion would you make about mutually exclusive and independent events given the results of this problem?

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The probability of the two events <em>A</em> and <em>B</em> are:

P(A) = 0.30 and P(B) =0.40

(a)

Compute the value of P (A ∩ B) as follows:

P(A\cap B)=0

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(b)

Compute the value of P (A | B) as follows:

P(A|B)=\frac{P(A\cap B)}{P(B)}=\frac{0}{0.40}=0

Thus, the value of P (A | B) is 0.

(c)

No, P (A | B) is not equal to the P (A).

(d)

As mentioned in part (a), mutually exclusive events are those events which cannot occur together.

That is, P(A\cap B)=0.

Events A and B are independent  if the chance of their concurrent happening is equivalent to the multiplication of their distinct probabilities.

That is, P(A\cap B)=P(A)\times P(B).

The concepts of mutually exclusive events and independent events are not the same.

(e)

As the it is provided that A and B are mutually exclusive events, we know that P(A\cap B)=0.

Now compute the value of P(A)\times P(B) as follows:

               P(A)\times P(B)=0.30\times 0.40=0.12\neq 0

Thus, the events A and B are not independent.

Thus, if two events are mutually exclusive events they cannot be independent.

4 0
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