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Bingel [31]
3 years ago
8

What single percentage change is equivalent to a 8% increase followed by a 13% decrease?

Mathematics
1 answer:
Leni [432]3 years ago
4 0

Answer:

D: 6.04

Step-by-step explanation:

100*1.08 = 108

108*0.87 = 93.96

100-93.96 = 6.04

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There is no graph to support the statement and so, this invisible graph is misleading :)
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2 years ago
An accounting firm is planning for the next tax preparation season. From last years returns, the firm collects a systematic rand
Elena L [17]

Answer:

a)From the central limit theorem we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And the standard error for the mean would be:

\sigma_{\bar X}= \frac{140}{\sqrt{100}} =14

b) We want this probability:

P(\bar X >120)

And we can use the z score formula given by:

z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And replacing we got:

z = \frac{120-90}{\frac{140}{\sqrt{100}}}= 2.143

And we can find this probability with the complement rule and the normal standard deviation or excel and we got:

P( z>2.143) = 1-P(Z

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".

Solution to the problem

Part a

From the central limit theorem we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And the standard error for the mean would be:

\sigma_{\bar X}= \frac{140}{\sqrt{100}} =14

Part b

We want this probability:

P(\bar X >120)

And we can use the z score formula given by:

z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And replacing we got:

z = \frac{120-90}{\frac{140}{\sqrt{100}}}= 2.143

And we can find this probability with the complement rule and the normal standard deviation or excel and we got:

P( z>2.143) = 1-P(Z

4 0
3 years ago
I need to know what 8(ii) because I don’t know the method
Irina18 [472]
Notice y° and y° and 50°, are all three angles in a flat-line, namely "linear angles", and since a flat-line is always 180°.

\bf y+y+50=180\implies 2y=180-50\implies 2y=130&#10;\\\\\\&#10;y=\cfrac{130}{2}\implies  y=65
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3 years ago
Shane found gift bags in packs of 8 and bows in packs of 10. If Shane wanted to have the
Sergeeva-Olga [200]

Answer:

5 gift bags

Step-by-step explanation:

8 x 5 = 40

10 x 4 = 40

4 0
2 years ago
M
Inessa05 [86]
Need to see the picture ..?
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3 years ago
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