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stealth61 [152]
3 years ago
11

Which of the following is equal C(10,3)? a. C(3,10) b. C(10,7) c. P(10,3)

Mathematics
2 answers:
stira [4]3 years ago
6 0

Answer:

B. C(10,7)

Step-by-step explanation:

agasfer [191]3 years ago
5 0

Answer:

Option: b is correct.

b. C(10,7)

Step-by-step explanation:

The formula for C(n,k) is evaluated as:

C(n,k)=\dfrac{n!}{k!\times (n-k)!}

Also The formula for P(n,k) is evaluated as:

C(n,k)=\dfrac{n!}{(n-k)!}

C(10,3)=\dfrac{10!}{3!\times (10-3)!}\\\\C(10,3)=\dfrac{10!}{3\times 7!}\\\\C(10,3)=120

a)

C(3,10)=\dfrac{3!}{10!\times (3-10)!}\\\\C(3,10)=\dfrac{3!}{10!\times (-7)!}

and e know the factorial of negative number does not exist.

so, this  is not possible.

Hence, option a is incorrect.

b)

C(10,7)

C(10,7)=\dfrac{10!}{7!\times (10-7)!}\\\\C(10,7)=\dfrac{10!}{7!\times 3!}\\\\C(10,7)=120

Hence, option b is correct.

c)

P(10,3)

P(10,3)=\dfrac{10!}{(10-3)!}\\\\P(10,3)=\dfrac{10!}{7!}\\\\P(10,3)=720

Hence, option c is incorrect.

Hence, C(10,7) is equal to C(10,3).

Hence, option b is correct.

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Answer:

a

The null hypothesis is  H_o : \mu  =  13.4000

The alternative hypothesis is  H_a :  \mu \ne  13.4000

The null hypothesis is rejected

b

The  99% confidence level is   13.3930  < \mu  < 13.3994

Step-by-step explanation:

From the question we are told that

  The sample size is  n =  10

   The  population mean is  \mu =  13.4 000 \  angstroms

   The level of significance is  \alpha =  0.05

   The  sample data is  

13.3987, 13.3957, 13.3902, 13.4015, 13.4001, 13.3918, 13.3965, 13.3925, 13.3946, and 13.4002

Generally the sample mean is mathematically represented as

        \= x =  \frac{13.3987+ 13.3957\cdots +13.4002 }{10}

=>     \= x = 13.3962

Generally the sample standard deviation  is mathematically represented as

    \sigma = \sqrt{\frac{\sum (x_i - \= x)^2}{n} }

=> \sigma = \sqrt{\frac{ (13.3987 - 13.3962)^2 +  (13.3987 - 13.3962)^2 + \cdots + (13.3987 -13.4002)^2  }{10} }

=>  \sigma =0.0039

The null hypothesis is  H_o : \mu  =  13.4000

The alternative hypothesis is  H_a :  \mu \ne  13.4000

Generally the test statistics is mathematically represented as

      z  =  \frac{\= x - \mu}{\frac{\sigma}{\sqrt{n} } }

=>    z  =  \frac{13.3962 -  13.4000}{\frac{0.0039}{\sqrt{10} } }

=>   z =  3.08

Generally the p-value is mathematically represented as

       p-value  = 2P( z   >  3.08)

From the z-table  P(z >  3.08)= 0.001035

So

       p-value  = 2* 0.001035

      p-value  = 0.00207

So from the obtained value we see that

     p-value  < \alpha

Hence the null hypothesis is rejected

Consider the b question

Given that the confidence level is  99%  then the level of significance is

    \alpha =  (100 -99)\%

=> \alpha =  0.01

Generally from the normal distribution table critical value  of  \frac{\alpha }{2} is  

    Z_{\frac{\alpha }{2} } =  2.58

Generally the margin of error is mathematically represented as  

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=>   E = 2.58  *  \frac{0.0039}{\sqrt{10} }

=>    E = 0.00318

Generally the 99% confidence interval is mathematically represented as

     13.3962   - 0.00318  < \mu  < 13.3962   +  0.00318

=>   13.3930  < \mu  < 13.3994

 

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