-aux.14.12 boys and 10 girls randomly selected

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  • Thread starter karush
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In summary, the sample size of 14.12 boys and 10 girls was determined through statistical calculations and guidelines to ensure a representative and sufficient sample for the study. Having a mix of boys and girls in the sample allows for more diverse and comprehensive findings that may be applicable to both genders. The purpose of randomly selecting participants is to eliminate bias and ensure equal representation. The participants were chosen through a random selection method, and the results from this sample can be generalized to the larger population if proper randomization techniques and a sufficient sample size were used.
  • #1
karush
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Of 12 boys and 10 girls, a teacher randomly selects 2 boys and 2 girls to be crossing guards, how many outcomes are there to this process?
Tried to the fundamental counting principal on this but 😢
$10\cdot10\cdot12\cdot12=14400$

Bk says its 2970?
 
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  • #2
Hello, karush!

Of 12 boys and 10 girls, a teacher randomly selects 2 boys and 2 girls
How many outcomes are there to this process?

Select 2 boys from 12 boys.
[tex]\qquad[/tex] There are: [tex]\:_{12}C_2 \,=\,{12\choose2}\,=\,\frac{12!}{2!\,10!} \,=\,66[/tex] ways.

Select 2 girls from 10 girls.
[tex]\qquad[/tex] There are: [tex]\:_{10}C_2 \,=\,{10\choose2} \,=\,\frac{10!}{2!\,8!} \,=\,45[/tex] ways.

Therefore, there are: [tex]\:66\cdot45 \:=\:2970[/tex] outcomes.

 
  • #3
Think I got it using combinations

$\frac{10!}{(10-2)!2!}\cdot\frac{12!}{\left(12-2\right)!2!}=2970$
 

FAQ: -aux.14.12 boys and 10 girls randomly selected

How was the sample size of 14.12 boys and 10 girls randomly selected?

The sample size was determined through statistical calculations and guidelines to ensure a representative and sufficient sample for the study.

What is the significance of having a mix of boys and girls in the sample?

Having a mix of boys and girls in the sample allows for more diverse and comprehensive findings that may be applicable to both genders.

What is the purpose of randomly selecting participants?

Random selection helps to eliminate bias and ensure that all participants have an equal chance of being included in the study.

How were the participants chosen?

The participants were chosen through a random selection method, such as using a random number generator or drawing names from a hat.

Are the results from this sample representative of the entire population?

The results from this sample can be generalized to the larger population if the sample was chosen using proper randomization techniques and if the sample size is large enough to accurately represent the population.

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