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patriot [66]
3 years ago
12

The sum of two numbers is 12.if three times the larger is added to twice the smaller the result is 33. Find the answer

Mathematics
1 answer:
Serggg [28]3 years ago
7 0
So for this you start by figuring out all the numbers that add up to equal 12.
(0,12)(1,11)(2,10)(3,9)(4,8)(5,7)(6,6)
Then you put them into the equation 3l+2s=33 l=the larger number and s=the smaller number
To save space I'm only going to do the numbers that are the answers.
(3,9) 3(9)+2(3)=33
27+6=33
33=33
TADA
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Answer:

The p value obtained and using the significance level assumed \alpha=0.05 we have p_v so we can conclude that we have enough evidenc to reject the null hypothesis, and we can said that at 5% of significance the proportion of new laptop's with fully charge for the new model is significantly higher compared to the old model.  

Step-by-step explanation:

1) Data given and notation n  

n=100 represent the random sample taken

X=96 represent the laptop's arrived with fully charged batteries.

\hat p=\frac{96}{100}=0.96 estimated proportion of laptop's arrived with fully charged batteries.

p_o=0.85 is the value that we want to test

\alpha=0.05 represent the significance level  

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

2) Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the new model’s rate is at least as high as the previous model.:  

Null hypothesis:p \leq 0.85  

Alternative hypothesis:p > 0.85  

When we conduct a proportion test we need to use the z statisitc, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

3) Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.96 -0.85}{\sqrt{\frac{0.85(1-0.85)}{100}}}=3.08  

4) Statistical decision  

P value method or p value approach . "This method consists on determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The significance level is not provided, but we can assume \alpha=0.05. The next step would be calculate the p value for this test.  

Since is a one side test the p value would be:  

p_v =P(z>3.08)=0.0010  

So based on the p value obtained and using the significance level assumed \alpha=0.05 we have p_v so we can conclude that we have enough evidenc to reject the null hypothesis, and we can said that at 5% of significance the proportion of new laptop's with fully charge for the new model is significantly higher compared to the old model.  

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Answer:

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Step-by-step explanation:

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Answer:

A.

Step-by-step explanation:

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