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sukhopar [10]
3 years ago
15

Greatest common factor 16 and 100

Mathematics
2 answers:
worty [1.4K]3 years ago
5 0

Answer:

So the greatest common factor 16 and 100 is 4.

OverLord2011 [107]3 years ago
3 0

Answer:

4

Step-by-step explanation:

The greatest common factor (GCF)

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zhuklara [117]
(0.7)(0.4)=0.28 because 7×4 is 28 and you just add a 0
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In the book Essentials of Marketing Research, William R. Dillon, Thomas J. Madden, and Neil H. Firtle discuss a research proposa
MakcuM [25]

Answer:

Null hypothesis:p_{1} = p_{2}  

Alternative hypothesis:p_{1} \neq p_{2}  

z=\frac{0.179-0.15}{\sqrt{0.17(1-0.17)(\frac{1}{140}+\frac{1}{60})}}=0.500  

p_v =2*P(Z>0.500)=0.617  

So the p value is a very low value and using any significance level for example \alpha=0.05, 0,1,0.15 always p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can say the two proportions NOT differs significantly.  

Step-by-step explanation:

Data given and notation  

X_{1}=25 represent the number of homeowners who would buy the security system

X_{2}=9 represent the number of renters who would buy the security system

n_{1}=140 sample 1

n_{2}=60 sample 2

p_{1}=\frac{25}{140}=0.179 represent the proportion of homeowners who would buy the security system

p_{2}=\frac{9}{60}= 0.15 represent the proportion of renters who would buy the security system

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 two proportions differs , the system of hypothesis would be:  

Null hypothesis:p_{1} = p_{2}  

Alternative hypothesis:p_{1} \neq p_{2}  

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

z=\frac{p_{1}-p_{2}}{\sqrt{\hat p (1-\hat p)(\frac{1}{n_{1}}+\frac{1}{n_{2}})}}   (1)  

Where \hat p=\frac{X_{1}+X_{2}}{n_{1}+n_{2}}=\frac{25+9}{140+60}=0.17  

Calculate the statistic  

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

z=\frac{0.179-0.15}{\sqrt{0.17(1-0.17)(\frac{1}{140}+\frac{1}{60})}}=0.500  

Statistical decision

For this case we don't have a significance level provided \alpha, but we can calculate the p value for this test.    

Since is a two sided test the p value would be:  

p_v =2*P(Z>0.500)=0.617  

So the p value is a very low value and using any significance level for example \alpha=0.05, 0,1,0.15 always p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can say the two proportions NOT differs significantly.  

6 0
3 years ago
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netineya [11]

Answer:

Step-by-step explanation:

7 0
3 years ago
I need help i dot get it.
gayaneshka [121]

Answer:

the answer is about 8 cuz the answer shows 7.12 if you divide mentally

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The area of a trapezium is 35cm2.find its altitude if the bases is 6cm and 8cm​
r-ruslan [8.4K]

Answer: altitude: 5 cm

Explanation:

\sf \dfrac{1}{2}  ( a + b) h = Area \ of \ trapezium

[ <u>a and b are bases, h is the altitude</u> ]

Here given:

  • Area = 35
  • a = 6
  • b = 8
  • h = ?

Solve for altitude:

\sf \rightarrow \sf \dfrac{1}{2}  ( 6 + 8) h = 35  \ \  \  \Rightarrow  \ \ \ \dfrac{1}{2}  ( 14) h = 35 \ \ \ \ \Rightarrow   \ \ \  \ 7 h = 35 \ \ \ \  \Rightarrow \ \   h = \dfrac{35}{7} \   =  \  5

7 0
2 years ago
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