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WITCHER [35]
3 years ago
13

Please help with this, thank you

Mathematics
1 answer:
worty [1.4K]3 years ago
4 0

Answer:

7.2% increase (rounded up to the nearest tenth of a percent)

Step-by-step explanation:

The price of the notebook today is $3.70

The price of the same notebook (original price) yesterday was $3.45

Increase in price = $3.70 - $3.45 = $0.25

Percentage increase = (Increase ÷ original price) × 100

Percentage increase = \frac{0.25}{3.45} × 100 = 7.2% (rounded up to the nearest tenth of a percent)

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I need help with this
MatroZZZ [7]
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the slope intercept is y= -5/2x-6

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FREE BRAINLIEST ! Find the slope of the line that passes through:<br> (-3, -4) and (7, 6)
d1i1m1o1n [39]

Answer:

10/10 =1 / 1 =1

m = ^^

Step-by-step explanation:

5 0
3 years ago
Find the surface area of this prism. Show your reasoning. Organize it so it can be followed
dolphi86 [110]
Standing pieces:
2(9x6)+4(9x3) = 108+108 = 216
“L” horizontal pieces:
cut it to 3 squares of 3x3 each
2x3(3x3) = 54
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5 0
3 years ago
Lan scores 44out of 60 maths test.what is his score as a percentage to 1 decimal place
ikadub [295]

Answer:

73.3%

Step-by-step explanation:

We can express 44 out of 60 as 44/60. Since the fraction viniculum means division, this reaches 44 divided by 60.

In doing so, we achieve the answer 73.33333.... terminating.

Rounding to the nearest place gives 73.3 as our answer.

8 0
3 years ago
Bottles filled by a certain machine are supposed to contain 12 oz of liquid. In fact the fill volume is random with mean 12.01 o
stepan [7]

Answer:

27.43% probability that the mean volume of a random sample of 144 bottles is less than 12 oz.

Step-by-step explanation:

To solve this problem, it is important to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 12.01, \sigma = 0.2, n = 144, s = \frac{0.2}{\sqrt{144}} = 0.0167

What is the probability that the mean volume of a random sample of 144 bottles is less than 12 oz

This is the pvalue of Z when X = 12

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{12 - 12.01}{0.0167}

Z = -0.6

Z = -0.6 has a pvalue of 0.2743.

So there is a 27.43% probability that the mean volume of a random sample of 144 bottles is less than 12 oz.

4 0
3 years ago
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