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-Dominant- [34]
4 years ago
6

(-36 4/9) - (-10 2/9) - (18 2/9) solve

Mathematics
1 answer:
PSYCHO15rus [73]4 years ago
6 0

Convert 36 4/9 to an improper fraction. Use this rule: a b/c = ac + b/c

-36 × 9 + 4/9 - (-10 2/9) - 18 2/9

Simplify 36 × 9 to 324

- 324 + 4/9 - (-10 2/9) - 18 2/9

Simplify 324 + 4 to 328

- 328/9 - (-10 2/9) - 18 2/9

Convert 10 2/9 to an improper fraction. Use this rule: a b/c = ac + b/c.

-328/9 - (- 10 × 9 + 2/9) - 18 2/9

Simplify 10 × 9 to 90

-328/9 - (- 90 + 2/9) - 18 2/9

Simplify 90 + 2 to 92

- 328/9 - (-92/9) - 18 2/9

Convert 18 2/9 to an improper fraction. Use this rule: a b/c = ac + b/c.

-328/9 - (- 92/9) - 18 × 9 + 2/9

Simplify 18 × 9 to 162

-328/9 - (- 92/2) - 162 + 2/9

Simplify 162 + 2 to 164

-328/9 - (- 92/9) - 164/9

Simplify brackets

-328/9 + 92/9 - 164/9

Join the denominators

-328 + 92 - 164/9

Simplify

-400/9

Convert to a mixed fraction

-44\frac{4}{9}

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Sharon is buying candy. she buys 5 type on the menu if she splits the price equality with four friends how mich do they each pay
larisa86 [58]

Answer:

D. 0.65

Step-by-step explanation:

0.05 x 5=0.25

0.01 x 5=0.05

0.07 x 5=0.35

0.25+0.05+0.35=0.65

they all must pay 0.65 each

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3 years ago
Learning Thoery In a learning theory project, the proportion P of correct responses after n trials can be modeled by p = 0.83/(1
elena-s [515]

Answer:

a)P(n=3) = \frac{0.83}{1+e^{-0.2(3)}}= \frac{0.83}{1+ e^{-0.6}} = 0.536

b) P(n=7) = \frac{0.83}{1+e^{-0.2(7)}}= \frac{0.83}{1+ e^{-1.4}} = 0.666

c) 0.75 =\frac{0.83}{1+e^{-0.2n}}

1+ e^{-0.2n} = \frac{0.83}{0.75}= \frac{83}{75}

e^{-0.2n} = \frac{83}{75}-1= \frac{8}{75}

ln e^{-0.2n} = ln (\frac{8}{75})

-0.2 n = ln(\frac{8}{75})

And then if we solve for t we got:

n = \frac{ln(\frac{8}{75})}{-0.2} = 11.19 trials

d) If we find the limit when n tend to infinity for the function we have this:

lim_{n \to \infty} \frac{0.83}{1+e^{-0.2t}} = 0.83

So then the number of correct responses have a limit and is 0.83 as n increases without bound.

Step-by-step explanation:

For this case we have the following expression for the proportion of correct responses after n trials:

P(n) = \frac{0.83}{1+e^{-0.2t}}

Part a

For this case we just need to replace the value of n=3 in order to see what we got:

P(n=3) = \frac{0.83}{1+e^{-0.2(3)}}= \frac{0.83}{1+ e^{-0.6}} = 0.536

So the number of correct reponses  after 3 trials is approximately 0.536.

Part b

For this case we just need to replace the value of n=7 in order to see what we got:

P(n=7) = \frac{0.83}{1+e^{-0.2(7)}}= \frac{0.83}{1+ e^{-1.4}} = 0.666

So the number of correct responses after 7 weeks is approximately 0.666.

Part c

For this case we want to solve the following equation:

0.75 =\frac{0.83}{1+e^{-0.2n}}

And we can rewrite this expression like this:

1+ e^{-0.2n} = \frac{0.83}{0.75}= \frac{83}{75}

e^{-0.2n} = \frac{83}{75}-1= \frac{8}{75}

Now we can apply natural log on both sides and we got:

ln e^{-0.2n} = ln (\frac{8}{75})

-0.2 n = ln(\frac{8}{75})

And then if we solve for t we got:

n = \frac{ln(\frac{8}{75})}{-0.2} = 11.19 trials

And we can see this on the plot attached.

Part d

If we find the limit when n tend to infinity for the function we have this:

lim_{n \to \infty} \frac{0.83}{1+e^{-0.2t}} = 0.83

So then the number of correct responses have a limit and is 0.83 as n increases without bound.

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The answer to this probability question is .86 or 86%. The probability that a batch of 10,000 batteries will contain at least 175 defective batteries is  86 percent. I calculated the failure rate of 10,000 batteries (10k*.015) and yielded 150, meaning there will be 150 batteries that will be defective in a set of 10,000. Then i divided 150 by 175 to get the probability.
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