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Varvara68 [4.7K]
3 years ago
8

Answer please and thank you

Mathematics
2 answers:
PSYCHO15rus [73]3 years ago
4 0

Answer:

s = 11.97

Step-by-step explanation:

Aleks04 [339]3 years ago
3 0

Answer:

s = 12

s/21 = 8/14

x 21     x 21

s = 12

When finding the missing length of two similar shapes you must compare the given lengths first then compare the missing length (variable) to their corresponding length and solve the equation.

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Find the distance between the points (1, 7) and (10, 1)<br> Please help:)
klio [65]

Answer:

<em>The distance between the points (1, 7) and (10, 1) is 10.82 units</em>

Step-by-step explanation:

<u>Distance between two points </u>

The distance between points A(x,y) B(w,z) can be calculated with the formula:

d=\sqrt{(z-y)^2+(w-x)^2}

We are given the points (1,7) and (10,1), let's use their values and compute the required distance:

d=\sqrt{(1-7)^2+(10-1)^2}

d=\sqrt{(-6)^2+(9)^2}

d=\sqrt{36+81}=\sqrt{117}\approx 10.82

The distance between the points (1, 7) and (10, 1) is 10.82 units

7 0
3 years ago
Connor gathered data about the height of customers entering a store and the time that it took them to gather their items and ent
sattari [20]

0.88. you can simply see this by using the right use of the data

7 0
3 years ago
Help ill give brainlest pls
Murrr4er [49]

Answer:

D

Step-by-step explanation:

Label the coordinate plane with the numbers so you can see it, you can also use a coordinate plane from online for a reference

8 0
3 years ago
The level of nitrogen oxides (NOX) in a exhaust of cars of a particular model varies normally with mean 0.25 grams per miles and
antoniya [11.8K]

Answer:

a) 15.87% probability that a single car of this model fails to meet the NOX requirement.

b) 2.28% probability that the average NOX level of these cars are above 0.3 g/mi limit

Step-by-step explanation:

We use the normal probability distribution and the central limit theorem to solve this question.

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 = 0.25, \sigma = 0.05

a. What is the probability that a single car of this model fails to meet the NOX requirement?

Emissions higher than 0.3, which is 1 subtracted by the pvalue of Z when X = 0.3. So

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

Z = \frac{0.3 - 0.25}{0.05}

Z = 1

Z = 1 has a pvalue of 0.8417.

1 - 0.8413 = 0.1587.

15.87% probability that a single car of this model fails to meet the NOX requirement.

b. A company has 4 cars of this model in its fleet. What is the probability that the average NOX level of these cars are above 0.3 g/mi limit?

Now we have n = 4, s = \frac{0.05}{\sqrt{4}} = 0.025

The probability is 1 subtracted by the pvalue of Z when X = 0.3. So

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

By the Central Limit Theorem

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

Z = \frac{0.3 - 0.25}{0.025}

Z = 2

Z = 2 has a pvalue of 0.9772

1 - 0.9772 = 0.0228

2.28% probability that the average NOX level of these cars are above 0.3 g/mi limit

4 0
3 years ago
If a translation maps point (3, 2) to (4, 5); or T: (3, 2) —&gt;(4,5), indicate the image for (2,4).
Colt1911 [192]

Answer:

(5,3)

I'm not soooo sure I'm %50 sure

8 0
3 years ago
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