10 times 2.5 plus 13.5 equals

Mathematics

2 answers:

tino4ka555 [31]3 years ago

7 0

38.5
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JulsSmile [24]3 years ago

4 0

38.5 is the answer25 + 13.5 = 38.510 x 2.5 = 25

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write an equation in y=mx+b for a line that passes through (3,-4) & has a slope of -3. you can write it in point-slope and c

dedylja [7]

Y = -3x + b
Plug in point
-4 = -3(3) + b
-4 = -9 + b, b = 5
Solution: y = -3x + 5

5 0

3 years ago

HELP PLEASE I'M WRITING A TEST!!!<br> x+3/4 = x+5/6

Keith_Richards [23]

Answer:

no solution

Step-by-step explanation:

if u plug a random number like 1 for example 1+3/4=1 3/4 and 1+5/6=1 5/6

1 3/4 =1 5/6-this is NOT equal

so no solution

hopefully that helps! please let me know if i did anything wrong thanks!

5 0

3 years ago

A semicircular archway is built in front of a garden using 8 congruent granite tiles, as shown in the diagram. Find the area of

iris [78.8K]

Given:
8 tiles
radius from the center of the archway to the inner edge of the tile. 7 ft.
radius from the center of the archway to the outer edge of the tile. 8 ft = 7 ft + 1 ft.

Area of a semi circle = π r² / 2
A = (3.14 * (7ft)²) / 2 = (3.14 * 49ft²) / 2 = 153.86 ft² / 2 = 76.93 ft²
A = (3.14 * (8ft)²) / 2 = (3.14 * 64ft²) / 2 = 200.96 ft² / 2 = 100.48 ft²

100.48 ft² - 76.93 ft² = 23.55 ft²
23.55 ft² / 8 tiles = 2.94 ft² per tile.

3 0

3 years ago

1a. [1 mark] The price per kilogram of tomatoes, in euros, sold in various markets in a city is found to be normally distributed

andrey2020 [161]

Answer:

The price that is two standard deviations above the mean price is 4.90.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Mean of 3.22 and a standard deviation of 0.84.

This means that $\mu = 3.22, \sigma = 0.84$