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jonny [76]
4 years ago
10

Help me! I am confused

Mathematics
1 answer:
ArbitrLikvidat [17]4 years ago
3 0
We know the workers can unpack 48 books in 2 minutes, so how many minutes for 200?

\bf \begin{array}{ccll}
books&minutes\\
\text{\textemdash\textemdash\textemdash}&\text{\textemdash\textemdash\textemdash}\\
48&2\\
200&m
\end{array}\implies \cfrac{48}{200}=\cfrac{2}{m}\implies m=\cfrac{200\cdot 2}{48}
\\\\\\
m=\cfrac{25}{3}\implies m=8\frac{1}{3}\impliedby \textit{8 minutes and 20 seconds}
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Step-by-step explanation:

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Write an equation for a line parallel to y=−4x+5 and passing through the point (4,-21)
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Answer:

Y=-4x-5

Step-by-step explanation:

-21=-4(4)+b

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b=-5

y=-4x-5

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The amount of coffee that a filling machine puts into an 8-ounce jar is normally distributed with a mean of 8.2 ounces and a sta
nordsb [41]

Answer:

73.30% probability that the sampling error made in estimating the mean amount of coffee for all 8-ounce jars by the mean of a random sample of 100 jars will be at most 0.02 ounce

Step-by-step explanation:

To solve this question, we need 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 normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

\mu = 8.2, \sigma = 0.18, n = 100, s = \frac{0.18}{\sqrt{100}} = 0.018

What is the probability that the sampling error made in estimating the mean amount of coffee for all 8-ounce jars by the mean of a random sample of 100 jars will be at most 0.02 ounce?

This is the pvalue of Z when X = 8.2 + 0.02 = 8.22 subtracted by the pvalue of Z when X = 8.2 - 0.02 = 8.18. So

X = 8.22

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

By the Central Limit Theorem

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

Z = \frac{8.22 - 8.2}{0.018}

Z = 1.11

Z = 1.11 has a pvalue of 0.8665

X = 8.18

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

Z = \frac{8.18 - 8.2}{0.018}

Z = -1.11

Z = -1.11 has a pvalue of 0.1335

0.8665 - 0.1335 = 0.7330

73.30% probability that the sampling error made in estimating the mean amount of coffee for all 8-ounce jars by the mean of a random sample of 100 jars will be at most 0.02 ounce

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Step-by-step explanation:

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Which equations and/or functions represent the graphed line? Select three options.
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Answer:

Point slope form : y-3=\frac{1}{2}(x-2)

Slope intercept form: y=\frac{1}{2}(x)+2

Standard form : -x+2y=4

Step-by-step explanation:

From the given graph it is clear that the line is passing through the points, (-4, 0), (-2, 1), (0, 2), and (2, 3).

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The equation of line is

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The point slope form of the line is y-3=\frac{1}{2}(x-2).

y-3=\frac{1}{2}(x)-\frac{1}{2}(2)

y-3=\frac{1}{2}(x)-1

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Multiply both sides by 2.

2y=x+4

-x+2y=4

Therefore, the standard form of the line is -x+2y=4.

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4 years ago
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