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Kisachek [45]
3 years ago
11

HELP ME PLEASE! Find the equation of the line. Use exact numbers.

Mathematics
1 answer:
dangina [55]3 years ago
6 0

Answer:

The equation of the line (in slope-intercept form) is y=4x-9

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30 points please answer honestly. Geometry help needed. <br> D is 9.32
Vadim26 [7]

Answer:

7.75 m

Step-by-step explanation:

First find the circumference. Use the formula C = 2πr

C = 2(3.14)(3)

C = 18.84

148° is a fraction of the entire circle which is 360°

Multiply

18.84/1 x 148/360

2788.32/360

7.745

4 0
3 years ago
<img src="https://tex.z-dn.net/?f=%281.345%2A%5Cfrac%7B1%7D%7B24%7D%20%29%5E%7B24%7D" id="TexFormula1" title="(1.345*\frac{1}{24
evablogger [386]
.......................

6 0
3 years ago
You go to a restaurant and your bill is $8.00. If you leave a 15% tip, How much did u spend all together at the restaurant?
g100num [7]
Find 15% of $8
Simply do this by multiplying 0.15 and 8
0.15 * 8 = 1.2
This means you left a $1.20 tip on top of your original $8
$8 + $1.20 = $9.20
6 0
4 years ago
Solve part a and part b
ExtremeBDS [4]

Answer:

analmadima

Step-by-step explanation:

kusurs bakama yapamadım

6 0
3 years ago
The number of accidents per week at a hazardous intersection varies with mean 2.2 and standard deviation 1.4. The distribution o
DENIUS [597]

Answer:

33.36% probability that X is less than 2.

Step-by-step explanation:

The distribution is not normal, however, using the central limit theorem, it is going to be approximately normal. So

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}}

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.

In this problem, we have that:

\mu = 2.2, \sigma = 1.4, n = 9, s = \frac{1.4}{\sqrt{9}} = 0.467

(a) Suppose we let X be the mean number of accidents per week at the intersection during 9 randomly chosen weeks. What is the probability that X is less than 2?

This is the pvalue of Z when X = 2. So

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

By the Central Limit Theorem

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

Z = \frac{2 - 2.2}{0.467}

Z = -0.43

Z = -0.43 has a pvalue of 0.3336.

33.36% probability that X is less than 2.

4 0
3 years ago
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