What is this expression 2(5x-1)+14

2 answers:

7 0

Greetings!

I'm going to assume you want to simplify the expression:
$2(5x-1)+14$

First, distribute the parenthesis:
$=2(5x-1)+14$

$=[(5x)(2)-(1)(2)]+14$

$=(10x-2)+14$

Next, you want to combine like terms:
$=(10x-2)+14$

$=10x+12$

This is the furthest the expression can be simplified:
$\boxed{10x+12}$

I hope this helped!
-Benjamin

SVETLANKA909090 [29]4 years ago

5 0

Hello there!

Your question states: What is this expression 2(5x-1)+14

2 * 5x = 10x

2 * -1 = -2

10x + -2 + 14 = 10x + 12

Your answer is 10x + 12

Hope I helped!

Let me know if you need anything else!

~ Zoe

You might be interested in

A percentage is a fractional value expressed as the number of

enyata [817]

In mathematics, a percentage (from Latin per centum "by a hundred") is a number or ratio expressed as a fraction of 100.

3 0

3 years ago

A TV set contains five circuit boards of type A, five of type B, and four of type C. The probability of failing in its first 500

nekit [7.7K]

Answer:

0.903264

Step-by-step explanation:

Given that a TV set contains five circuit boards of type A, five of type B, and four of type C. The probability of failing in its first 5000 hours of use is 0.03 for a type A circuit board, 0.04 for a type B circuit board, and 0.03 for a type C circuit board.

Let A' = the event that A fails, B' = B fails and C'= C fails.

Probability that no circuit board fails = Prob (A'B'C')

= P(A')P(B')P(C') (since A,B, C are independent, their complements are independent

= (1-0.03)(1-0.04)(1-0.03)

= 0.903264

8 0

3 years ago

How do we get 8 3/5>8 6/7

Ket [755]

make the denominators the same so you cancompare

3 0

3 years ago

A researcher reports survey results by stating that the standard error of the mean is 25 the population standard deviation is 40

bezimeni [28]

Answer:

a) A sample of 256 was used in this survey.

b) 45.14% probability that the point estimate was within ±15 of the population mean

Step-by-step explanation:

This question is solved using 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 $s = \frac{\sigma}{\sqrt{n}}$ .