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Arada [10]
2 years ago
15

A cylindrical pillers has a diameter of 56 cm and is of 35 m high there are 16 pillers around the building find the cost of pain

ting the curved surface area of all the pillars at the rate of 5.50 per 1m square ​
Mathematics
1 answer:
viktelen [127]2 years ago
5 0

Answer:

Answer:

Total cuŕved surface area of the pillars = 985.6m²Total cost of painting = Rs.5420.8

Explanation:

Given,

A cylindrical pillar with dimènsions,

r(radius) = 56/2 = 28cm. [ Since d = r/2]h(height) = 35m

There are 16 such pillars. Find the cost of paiñting the the curved surface area of all pillars 5.50/m²

Conversion of the dimensioñs in same units.

Radius = 28cm

= 28 ÷ 100 [Since 1m = 100]

= 0.28m

Cuŕved surface area of the pillar is given by,

→ 2πrh

Where,

Taking ‘π’ as 22/7

→ 2*(22/7)*(0.28)*(35)

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The graph below represents the price of sending text messages using the services of a phone company. What is the constant of pro
Misha Larkins [42]

Answer:

8

Step-by-step explanation:

The equation is of the form

y = kx ← k is the constant of proportionality

To find k use the slope formula

k = ( y₂ - y₁ ) / ( x₂ - x₁ )

with (x₁, y₁ ) = (0, 0) and (x₂, y₂ ) = (2, 16) ← 2 points on the line

k = \frac{16-0}{2-0} = \frac{16}{2} = 8

4 0
3 years ago
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Thank you to whoever helps me. I'm confused a little bit.
xeze [42]
The answer to this is 392
5 0
3 years ago
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3 years ago
The life expectancy of a particular brand of tire is normally distributed with a mean of 40,000 and a standard deviation of 5,00
timama [110]

Answer: the probability that a randomly selected tire will have a life of exactly 47,500 miles is 0.067

Step-by-step explanation:

Since the life expectancy of a particular brand of tire is normally distributed, we would apply the formula for normal distribution which is expressed as

z = (x - µ)/σ

Where

x = life expectancy of the brand of tire in miles.

µ = mean

σ = standard deviation

From the information given,

µ = 40000 miles

σ = 5000 miles

The probability that a randomly selected tire will have a life of exactly 47,500 miles

P(x = 47500)

For x = 47500,

z = (40000 - 47500)/5000 = - 1.5

Looking at the normal distribution table, the probability corresponding to the z score is 0.067

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3 years ago
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