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3 years ago

What is 3,000 more than 150?

Mathematics

1 answer:

Scrat [10]3 years ago

5 0

Answer:

Step-by-step explanation:

We need to find a number that is 3,000 more than 150. To do this set up an equation and let x = the result.

x = 150 + 3,000

x = 3,150

Check

3,150 = 150 + 3,000

3,150 = 3,150 Correct :)

<em>PLEASE MARK BRAINLIEST</em>

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The convex polygon below has 8 sides. Find the value of x ?

bulgar [2K]

The missing interior angle, x, of the convex polygon is 168⁰.

<h3>Sum of interior angles of convex polygon</h3>

The sum of interior angles of a convex polygon is calculated as follows;

S = (n - 2) 180

S = (8 - 2) 180

S = (6) 180

S = 1080

The missing interior angle, x, is calculated as follows;

x + 126 + 146 + 130 + 140 + 146 + 134 + 90 = 1080

x + 912 = 1080

x = 1080 - 912

x = 168⁰

Learn more about interior angles of polygon here: brainly.com/question/24966296

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2 years ago

Fraction equivalent to 3/12

Rufina [12.5K]

Two of them are 1/4 and 2/8! Hope this helps:)

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3 years ago

Read 2 more answers

Mrs. Wilkinson can buy a 20-ounce box of cereal for $3.60 or a 28-ounce box of cereal for $4.20. Which is the better buy?

Vsevolod [243]

3.60 / 20 = 0.18

4.20 / 28 = 0.15

The 28-ounce box has better value, as cost-per-ounce is lower.

4 0

3 years ago

The diameters of bolts produced in a machine shop are normally distributed with a mean of 5.725.72 millimeters and a standard de

suter [353]

Answer:

Top 5% is 5.84 milliters and the bottom 5% is 5.60 millimeters.

Step-by-step explanation:

Problems of normally distributed samples can be 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:

$\mu = 5.72, \sigma = 0.07$