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Korvikt [17]
3 years ago
7

What does kEI mean??

Mathematics
1 answer:
tia_tia [17]3 years ago
6 0

Answer:

kei = kelvin\_kei(x) evaluates an approximation to the Kelvin function kei x. The function is based on several Chebyshev expansions. For large x, kei x is so small that it cannot be computed without underflow and the function fails.

kei (output, double)

Approximation of the Kelvin function kei x.

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True or false? Rates can be adjusted for different time periods. If you know how many parts can be made in an hour, then you can
julsineya [31]

Answer:

  True

Step-by-step explanation:

The whole point of units conversion is to take a value expressed in one set of units (parts per hour) and translate it to a different set of units (parts per week). The rate does not have to involve time.

The statement is TRUE.

3 0
3 years ago
A train leaves the station and has to travel 486km. The train maintains a speed of 120km. After travelling for 3 hours and 15 mi
Anuta_ua [19.1K]

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I think its 2 hours 30 minutes

Step-by-step explanation:

7 0
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PLEASE HELP ASAP!!! I NEED CORRECT ANSWERS ONLY PLEASE!!! I NEED TO FINISH THESE QUESTIONS BEFORE MIDNIGHT TONIGHT.
Natali [406]

Yo sup??

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Hope this helps.

6 0
3 years ago
How does 15.050 compare to 15.500
Varvara68 [4.7K]

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6 0
3 years ago
Read 2 more answers
The 2010 General Social Survey reported a sample where about 48% of US residents thought marijuana should be made legal. If we w
Sati [7]

Answer:

The sample size is  n  = 600

Step-by-step explanation:

From the question we are told that

    The  sample proportion is  \r  p = 0.48

     The  margin of error is  MOE  =  0.04

Given that the confidence level is 95%  the level of significance is mathematically represented as

        \alpha  =  100 - 95

        \alpha  =  5 \%

        \alpha  =  0.05

Next  we obtain the critical value of  \frac{\alpha }{2} from the normal distribution table , the values is

                   Z_{\frac{\alpha }{2}  } =  1.96

The reason we are obtaining critical value of    \frac{\alpha }{2} instead of    \alpha is because  

\alpha represents the area under the normal curve where the confidence level interval (  1-\alpha) did not cover which include both the left and right tail while  

\frac{\alpha }{2} is just the area of one tail which what we required to calculate the margin of error

Generally the margin of error is mathematically represented as

      MOE  =  Z_{\frac{\alpha }{2} } *  \sqrt{ \frac{\r p(1-  \r p )}{n} }

substituting values

          0.04= 1.96*  \sqrt{ \frac{0.48(1-  0.48 )}{n} }

         0.02041 = \sqrt{ \frac{0.48(52 )}{n} }

         0.02041 = \sqrt{ \frac{ 0.2496}{n} }

          0.02041^2  = \frac{ 0.2496}{n}

           0.0004166 = \frac{ 0.2496}{n}

=>       n  = 600

   

5 0
3 years ago
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