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bulgar [2K]
3 years ago
15

Ok so, 1, 5, 17, and 53. What's my rule?

Mathematics
1 answer:
Dimas [21]3 years ago
3 0
Ok so, to get the next term, triple the last one you have and add  2.
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Please help me....I need it
nexus9112 [7]

Answer:

Volume: 3x2x4=24 so the volume is 24 Meter3

Surface area:

52 Square meter

7 0
3 years ago
11. A jug contains 2 gallons of water. How many quarts of water does the jug contain? ​
s2008m [1.1K]

Answer:

first change 1 gallon into quarts and that will be

4.8038

so 2 quarts = ? cross multiply ans the answer u will get is 9.6076

5 0
2 years ago
Find the area of the figure. I will make you a brainllest:)
dusya [7]

Answer:

70

Step-by-step explanation:

A=a+b

2h=8+12

2·7=70

6 0
2 years ago
The mass of the sun is 21.3525×102921.3525×1029 kg. the mass of mercy is 328.5×1021328.5×1021 kg.how many times larger is the ma
Liono4ka [1.6K]
This is basically a simple problem to understand. The only thing that needs to be done is to divide the mass of the sun by the mass of mercury. It will give the required result.

Number of times the mass of sun is greater than
the mass of mercury =  21.3525×102921.3525×1029/<span>328.5×1021328.5×1021
                                  = </span><span>7.1783629e+15
I hope that this is the answer that you were looking for and it has come to your great help.</span>
8 0
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

6 0
3 years ago
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