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Paul [167]
3 years ago
14

Solve for x: negative 4 over 3, multiplied by x minus 6 equals negative 26

Mathematics
2 answers:
Burka [1]3 years ago
8 0

Answer:

x=\frac{51}{2}=25.5

Step-by-step explanation:

Given: expression  'negative 4 over 3, multiplied by x minus 6 equals negative 26'

We have to solve for x .

Consider the given expression 'negative 4 over 3, multiplied by x minus 6 equals negative 26'

Mathematically written as,

\left(-\frac{4}{3}\right)\left(x-6\right)=-26

Multiply both side b 3, we get,

\left(-\frac{4}{3}\right)\left(x-6\right)\left(-3\right)=\left(-26\right)\left(-3\right)

Simplify, we get,

4\left(x-6\right)=78

Divide both side by 4, we have,

\frac{4\left(x-6\right)}{4}=\frac{78}{4}

Simplify, we have,

x-6=\frac{39}{2}

Adding 6 both side, we have,

x-6+6=\frac{39}{2}+6

Simplify, we have,

x=\frac{51}{2}

Thus, x=\frac{51}{2}=25.5

s2008m [1.1K]3 years ago
4 0
-4/3(x - 6) = -26
-4/3x + 8 = -26
-4/3x = -26 - 8
-4/3x = - 34
x = -34 * - 3/4
x = 102/4
x = 25.5 or 25 1/2
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Answer:

31.92% probability that 18 randomly selected bulbs would have an average life of no more than 260 days

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

When the distribution is normal, we use 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.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

In this question, we have that:

\mu = 270, \sigma = 90, n = 18, s = \frac{90}{\sqrt{18}} = 21.2

What is the probability that 18 randomly selected bulbs would have an average life of no more than 260 days?

This is the pvalue of Z when X = 260. So

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

By the Central Limit Theorem

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

Z = \frac{260 - 270}{21.2}

Z = -0.47

Z = -0.47 has a pvalue of 0.3192.

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Answer:

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Step-by-step explanation:

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Step-by-step explanation:

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