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Illusion [34]
3 years ago
8

Aaron, Ruth and Walter created shortcuts for finding the least common multiple of two numbers. Do their methods work for any pai

r of numbers? explain why it works
Mathematics
1 answer:
statuscvo [17]3 years ago
4 0

L.C.M= Least common multiple

If we have to find least common multiple of two numbers  

you have to check out which kind of numbers they are.

1. If the numbers are co- prime= Multiply the two numbers  

you will get the L.C.M.[Co-Prime numbers→If two numbers doesn't have any common factor then,that two numbers are Co-prime.]

For example L.C.M

(2,3)=2×3=6

(4,5)=4×5=20

(7,9)=7×9=63 So , you can find many more examples.

2. If the two numbers are not Co-prime like (4,6),(8,10)

Then, there is another procedure.

First you have to factorize the two numbers.Then you have to take out common numbers and and then multiply the numbers which are not common with the common number.

For example ,

L.C.M (12,16),

12=2×2×3

16=2×2×2×2

Common numbers are 2×2.

Non common numbers are  3×2×2.

So, L.C.M=2×2×2×2×3=48

Take another example L.C.M(40,80)

40=2×2×2×5

80=2×2×2×2×5

Common numbers=2×2×2×5

Non common number=2

So, L.C.M=2×2×2×2×5=80

If  Aaron, Ruth and Walter created this  shortcut for finding the least common multiple of any two numbers,then definitely this will work for any pair of numbers.


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Step-by-step explanation:

The requirements are satisifed since we have the proportion estimated, the sample sizes provided, we assume random sampling for the selection of the data and the distribution for the difference of proportions can be considered as normal

Data given and notation  

n_{M}=41 sample of male selected

n_{W}=56 sample of demale selected

p_{M}=0.57 represent the proportion of men who dislike anchovies

p_{WCB}=0.84 represent the proportion of women who dislike anchovies

z would represent the statistic (variable of interest)  

p_v represent the value for the test (variable of interest)

Concepts and formulas to use  

We need to conduct a hypothesis in order to check if the proportion for men is different from women  , the system of hypothesis would be:  

Null hypothesis:p_{M} = p_{W}  

Alternative hypothesis:p_{M} \neq p_{W}  

We need to apply a z test to compare proportions, and the statistic is given by:  

z=\frac{p_{M}-p_{W}}{\sqrt{\hat p (1-\hat p)(\frac{1}{n_{M}}+\frac{1}{n_{W}})}}   (1)

Where \hat p=\frac{X_{M}+X_{W}}{n_{M}+n_{W}}=\frac{0.67+0.84}{2}=0.755

z-test: Is used to compare group means. Is one of the most common tests and is used to determine whether the means of two groups are equal to each other.  

Calculate the statistic

Replacing in formula (1) the values obtained we got this:  

z=\frac{0.67-0.84}{\sqrt{0.755(1-0.755)(\frac{1}{41}+\frac{1}{56})}}=-1.923  

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