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Arlecino [84]
4 years ago
14

Find the LCM of 9,25,36 and 73 ?​

Mathematics
2 answers:
Artyom0805 [142]4 years ago
6 0

Step-by-step explanation:

9 = 9 , 25 = 5 , 36 = 36

if it's helpful please tell me

Allisa [31]4 years ago
5 0

Answer: The least common multiple is 65700

Step-by-step explanation:

To begin, find the prime factors of the given numbers, (and you find they have very little in common.)

9=3×3   25=5×5   36=2×2×3×3  73= 73×1  (73 is a prime number)

Only the 3's of 36 overlap with the 3's of 9

To find the LCM you must multiply all the prime factors that don't overlap:

3×3×5×5×2×2×73

If the 73 is changed to 72, the LCM is a somewhat lower number: 1800.

To test these LCM's try dividing by any of the factors or numbers given.

If the quotient is not a whole number, the LCM doesn't include that factor.

You might be interested in
How to do a dilation factor in geometry
Ostrovityanka [42]
Hello!

To find the dilation factor you find what figure 1 was multiplied by to get figure 2

Hope this helps!
8 0
3 years ago
88 Is 20 percent of what number?
ValentinkaMS [17]

Answer:

  440

Step-by-step explanation:

You can write the problem statement in math terms as ...

  88 = 0.20 × (what number)

To solve this, divide by the coefficient of the variable, 0.20.

  88/0.20 = (what number)

  440 = (what number)

The number you're looking for is 440.

_____

Of course you know that 20% = 20/100 = 0.20.

(% is a shorthand way to write /100.)

5 0
3 years ago
The heights of 40 randomly chosen men are measured and found to follow a normal distribution. An average height of 175 cm is obt
AVprozaik [17]

Answer:

95% two-sided confidence interval for the true mean heights of men is [168.8 cm , 181.2 cm].

Step-by-step explanation:

We are given that the heights of 40 randomly chosen men are measured and found to follow a normal distribution.

An average height of 175 cm is obtained. The standard deviation of men's heights is 20 cm.

Firstly, the pivotal quantity for 95% confidence interval for the true mean is given by;

                             P.Q. = \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

where, \bar X = sample average height = 175 cm

            \sigma = population standard deviation = 20 cm

            n = sample of men = 40

<em>Here for constructing 95% confidence interval we have used One-sample z test statistics as we know about population standard deviation.</em>

So, 95% confidence interval for the true mean, \mu is ;

P(-1.96 < N(0,1) < 1.96) = 0.95  {As the critical value of z at 2.5%

                                     level of significance are -1.96 & 1.96}  

P(-1.96 < \frac{\bar X-\mu}{\frac{s}{\sqrt{n} } } < 1.96) = 0.95

P( -1.96 \times }{\frac{\sigma}{\sqrt{n} } } < {\bar X-\mu} < 1.96 \times }{\frac{\sigma}{\sqrt{n} } } ) = 0.95

P( \bar X-1.96 \times }{\frac{\sigma}{\sqrt{n} } } < \mu < \bar X+1.96 \times }{\frac{\sigma}{\sqrt{n} } } ) = 0.95

<u>95% confidence interval for </u>\mu = [ \bar X-1.96 \times }{\frac{\sigma}{\sqrt{n} } } , \bar X+1.96 \times }{\frac{\sigma}{\sqrt{n} } } ]

                                            = [ 175-1.96 \times }{\frac{20}{\sqrt{40} } } , 175+1.96 \times }{\frac{20}{\sqrt{40} } } ]

                                            = [168.8 cm , 181.2 cm]

Therefore, 95% confidence interval for the true mean height of men is [168.8 cm , 181.2 cm].

<em>The interpretation of the above interval is that we are 95% confident that the true mean height of men will be between 168.8 cm and 181.2 cm.</em>

3 0
3 years ago
Of the radius of a circle is 17 then the diameter of the circle is...
bonufazy [111]
Diameter is 34
Diameter is double the radius so 17 plus 17 is 34 which is the diameter
6 0
3 years ago
A cell phone company sold 4,000 cell phones in the month of November. In December, the company held its annual sale and sold 22%
makvit [3.9K]
First, move the decimal place from the 22%  so it would be .22 multiply that by 4,000 that would be 880 add that to 4,000 so 4,880 50% of that would be .50x4880= 2440 subtract that from 4,880 so 4,880-2,440=2,440

In November they sold 4,000
In December they sold 4,880
In January they sold 2,440

add these together and in the 3 months the company sold 11,320 cell phones. :)

3 0
3 years ago
Read 2 more answers
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