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dimaraw [331]
2 years ago
15

These two lines are parallel. Write an equation for each.

Mathematics
1 answer:
tresset_1 [31]2 years ago
7 0

Answer:

Step-by-step explanation:

Hey! I would love to help, but the image is dark, and there's no numbers. Was this how the teacher gave it to you?

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Need help with this question
Ne4ueva [31]

Answer:

About 3%

Step-by-step explanation:

It decreased.

3% of 465056=13951

465056-13951=451105

3.6% of 465056=16742

465056-16742=448314

The amount you want it 450678 and 451105 is closer to 450678 than 448314.

4 0
2 years ago
John D. Rockefeller died in 1937. At the time of his death, Rockefeller had accumulated $1400 million, which was equal to one si
Vesnalui [34]
Answer: 91,000,000,000
4 0
3 years ago
132% of 675?<br><br><br> Please help
kvasek [131]

Answer:

891

132 x 675

100

= 891

Step-by-step explanation:

7 0
3 years ago
Read 2 more answers
Malik's arts and crafts shop have a bolt of crimson velvet 32 meters long. A customer came in during the morning and bought 120
Eva8 [605]
Answer: 3200-1520=1680 cm
3 0
3 years ago
Read 2 more answers
Let X be the number of accidents per week at the Hillsborough Street roundabout by the NCSU Bell Tower. Assume X varies with mea
Eduardwww [97]

Answer:

1) 0.1587 = 15.15% probability that x is less than 2

2) 7.64% probability that there are fewer than 100 accidents at the roundabout in a year

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 = 2.2, \sigma = 1.4

1)

Here we have \mu = 2.2, s = \frac{1.4}{\sqrt{52}} = 0.194

What is the probability that x is less than 2?

This is the pvalue of Z when X = 2.

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

By the Central Limit Theorem

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

Z = \frac{2 - 2.2}{0.194}

Z = -1.03

Z = -1.03 has a pvalue of 0.1515

0.1587 = 15.15% probability that x is less than 2

2)

100/52 = 1.9231

This is the pvalue of Z when X = 1.9231

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

Z = \frac{1.9231 - 2.2}{0.194}

Z = -1.43

Z = -1.43 has a pvalue of 0.0764

7.64% probability that there are fewer than 100 accidents at the roundabout in a year

6 0
3 years ago
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