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2 years ago

Picturez plzz dont answer this if you dont have pictures

Mathematics

1 answer:

Ghella [55]2 years ago

4 0

<span>2.91+1.8=4.71

and im guessing that you need to shade in the boxes sooo... you need to shade in 4 whole boxes and 71% of the fifth box...since the boxes are 10 by 10
>>shade in 7 rows and shade in one box in the 8th row

hope this helps</span>

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Liliana solved the equation below. When she tried to verify her answer, she realized she made an error.

leva [86]

Answer:

Step 3 of substracting 6 from both sides.

Step-by-step explanation:

We are given the following information in the question:

We are given the equation:

$\displaystyle\frac{1}{3}(x + 18) = 7$

Multiplying the constant term we get,

$\displaystyle\frac{1}{3}x + 6 = 7$

Subtracting 6 from both the sides we get,

$\displaystyle\frac{1}{3}x + 6-6 = 7-6\\\\\frac{1}{3}x = 1\\\\x = 3$

Liliana made a mistake in the step of subtracting 6 from both sides. She subtracted 6 from the left side bu added 6 on the right side instead of subtracting from the right side.

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2 years ago

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egoroff_w [7]

Answer:

k= 5

Equation is: y=5x

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2 years ago

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Alina [70]

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Step-by-step explanation:

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2 years ago

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Consider this expression.

Oliga [24]

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The operation manager at a tire manufacturing company believes that the mean mileage of a tire is 33,208 miles, with a standard

avanturin [10]

Answer:

There is a 92.32% probability that the sample mean would differ from the population mean by less than 633 miles in a sample of 49 tires if the manager is correct.

Step-by-step explanation:

Problems of normally distributed samples can be 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:

The operation manager at a tire manufacturing company believes that the mean mileage of a tire is 33,208 miles, with a standard deviation of 2503 miles.

This means that $\mu = 33208, \sigma = 2503$ .

What is the probability that the sample mean would differ from the population mean by less than 633 miles in a sample of 49 tires if the manager is correct?

This is the pvalue of Z when $X = 33208+633 = 33841$ subtracted by the pvalue of Z when $X = 33208 - 633 = 32575$

By the Central Limit Theorem, we have t find the standard deviation of the sample, that is:

$s = \frac{\sigma}{\sqrt{n}} = \frac{2503}{\sqrt{49}} = 357.57$

X = 33841

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

$Z = \frac{33841 - 33208}{357.57}$

$Z = 1.77$

$Z = 1.77$ has a pvalue of 0.9616

X = 32575

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

$Z = \frac{32575- 33208}{357.57}$

$Z = -1.77$

$Z = -1.77$ has a pvalue of 0.0384.

This means that there is a 0.9616 - 0.0384 = 0.9232 = 92.32% probability that the sample mean would differ from the population mean by less than 633 miles in a sample of 49 tires if the manager is correct.

4 0

2 years ago