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irga5000 [103]
3 years ago
6

At a local fitness center, gym members pay $3 per workout with an annual membership fee of $140. Non-members pay $10 per workout

. If you plan on working out an average of twice a month for the next year, is a membership worth the investment? Show your thinking
help pls <3
Mathematics
1 answer:
Misha Larkins [42]3 years ago
5 0

Answer

if you mean they have to pay 140$   but they pay less to go to the actual workout i would says no if wrong you can report or just tell me if im wrong

Step-by-step explanation:

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What is the slope OF THE GRAPH, not what is A slope, what is THE slope
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You can find the slope either by just looking at the line or using the slope formula.

#1: The slope formula is:

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I will use (0, 2) and (1, -1)

(0, 2) = (x₁, y₁)

(1, -1) = (x₂, y₂)

m = \frac{y_2-y_1}{x_2-x_1}

m = \frac{2-(-1)}{0-1}   [two negatives cancel each other out and become positive]

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#2: To find the slope without having to do the work, you use this:

m=\frac{rise}{run}

Rise is the number of units you go up(+) or down(-) from each point

Run is the number of units you go to the right from each point

If we start at a defined/obvious point, like (0, 2), find the next point and see how many units it goes up or down and to the right. The next point is (1, -1), so from each point, you go down 3 units and to the right 1 unit. So your slope is -3/1 or -3. You can make sure the slope is right by looking at another point.

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Answer:

(a) The proportion of women who are tested, get a negative test result is 0.82.

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Step-by-step explanation:

The Bayes' theorem states that the conditional probability of an event <em>E</em>_{i}, of the sample space <em>S,</em> given that another event <em>A</em> has already occurred is:

P(E_{i}|A)=\frac{P(A|E_{i})P(E_{i})}{\sum\liits^{n}_{i=1}{P(A|E_{i})P(E_{i})}}

The law of total probability states that, if events <em>E</em>₁, <em>E</em>₂, <em>E</em>₃... are parts of a sample space then for any event <em>A</em>,

P(A)=\sum\limits^{n}_{i=1}{P(A|B_{i})P(B_{i})}

Denote the events as follows:

<em>X</em> = fetus have a chromosome abnormality.

<em>Y</em> = the test is positive

The information provided is:

P(X)=0.04\\P(Y|X)=0.90\\P(Y^{c}|X^{c})=0.85

Using the above the probabilities compute the remaining values as follows:

P(X^{c})=1-P(X)=1-0.04=0.96

P(Y^{c}|X)=1-P(Y|X)=1-0.90=0.10

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Use the law of total probability:

P(Y^{c})=P(Y^{c}|X)P(X)+P(Y^{c}|X^{c})P(X^{c})

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Thus, the proportion of women who are tested, get a negative test result is 0.82.

(b)

Compute the value of P (X|Y) as follows:

Use the Bayes' theorem:

P(X|Y)=\frac{P(Y|X)P(X)}{P(Y|X)P(X)+P(Y|X^{c})P(X^{c})}

             =\frac{(0.90\times 0.04)}{(0.90\times 0.04)+(0.15\times 0.96)}

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