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emmasim [6.3K]
3 years ago
6

Solve the linear equation: 3.4 + 2(9.7 – 4.8x) = 61.2

Mathematics
1 answer:
Ganezh [65]3 years ago
7 0

Answer:

- 4

Step-by-step explanation:

(2*(Rationalize(9.7)-Rationalize(4.8x)))==Rationalize(61.2)-Rationalize(3.4)

Rationalize(18.4)-Rationalize(2.8x)

==Rationalize(57.8)

-Rationalize(2.8x)==Rationalize(57.8)-Rationalize(18.4)

x= 38.4÷-2.8

:x= -4

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A number is between -5 and -14. What is the least possible integer value of the number?
djyliett [7]
Hello!

An integer can be positive, negative, or zero. Given this, the least possible integer value of a number between -5 and -14 is -13.
3 0
3 years ago
Im very young and need help whats 2+2
Fynjy0 [20]

Answer:

4

Step-by-step explanation:

if you had 2 monkeys and another 2 monkeys and you put them in a pen together then you will have 4 monkeys in the pen

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7 0
3 years ago
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I need help it will be great if you help me. :)
kvv77 [185]
Divide everything by 8: 550/8=68.75, 250/8=31.25. The new dimensions are 68.75 inches by 31.25 inches :)
5 0
3 years ago
The mean annual cost of an automotive insurance policy is normally distributed with a mean of $1140 and standard deviation of $3
DerKrebs [107]

Using the normal distribution, it is found that the probabilities are given as follows:

a) 0.8871 = 88.71%.

b) 0.0778 = 7.78%.

c) 0.8485 = 84.85%.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

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

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.
  • By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation s = \frac{\sigma}{\sqrt{n}}.

The parameters in this problem are given as follows:

\mu = 1140, \sigma = 310, n = 16, s = \frac{310}{\sqrt{16}} = 77.5

Item a:

The probability is the <u>p-value of Z when X = 1250 subtracted by the p-value of Z when X = 1000</u>, hence:

X = 1250:

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

By the Central Limit Theorem

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

Z = \frac{1250 - 1140}{77.5}

Z = 1.42

Z = 1.42 has a p-value of 0.9222.

X = 1000:

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

Z = \frac{1000 - 1140}{77.5}

Z = -1.81

Z = -1.81 has a p-value of 0.0351.

0.9222 - 0.0351 = 0.8871 = 88.71% probability.

Item b:

The probability is <u>one subtracted by the p-value of Z when X = 1250</u>, hence:

1 - 0.9222 = 0.0778 = 7.78%.

Item c:

The probability is the <u>p-value of Z when X = 1220</u>, hence:

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

Z = \frac{1220 - 1140}{77.5}

Z = 1.03

Z = 1.03 has a p-value of 0.8485.

0.8485 = 84.85% probability.

More can be learned about the normal distribution at brainly.com/question/4079902

#SPJ1

3 0
2 years ago
Need help with number 60
vampirchik [111]
You could write 42/20 for #60.
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3 years ago
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