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natima [27]
4 years ago
12

Find the third degree function that has zeros 7 and −11i, and a value of 663 when x=10.

Mathematics
1 answer:
slega [8]4 years ago
6 0

Answer:

y = x^3 - 7x^2 + 121x + 847

Step-by-step explanation:

If -11i is a zero, its conjugate also is a zero, so the zeros are:

7, 11i and -11i.

So we can write the third degree function as:

y = a(x-7)(x-11i)(x+11i)

y = a(x-7)(x^2+121)

If the function has a value of 663 when x = 10, we have:

663 = a(10-7)(10^2+121)

663 = a(3)(221)

a = 663/663 = 1

So the function is:

y = (x-7)(x^2+121)

y = x^3 - 7x^2 + 121x - 847

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Step-by-step explanation:

Test for convergence or divergence of a series using Comparison test

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4 years ago
A salesman for a new manufacturer of cellular phones claims not only that they cost the retailer less but also that the percenta
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Answer:

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Step-by-step explanation:

Use a significance level of α=0.01 for the test.

Data given and notation    

X_{1}=17 represent the number of defectives from the retailer

X_{2}=9 represent the number of defectives from the competitor

n_{1}=180 sample 1 selected  

n_{2}=225 sample 2 selected  

p_{1}=\frac{17}{180}=0.094 represent the proportion estimated for defectives from the retailer

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\hat p represent the pooled estimate of p

z would represent the statistic (variable of interest)    

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

\alpha=0.01 significance level given  

Concepts and formulas to use    

We need to conduct a hypothesis in order to check if the percentage of defective cellular phones found among his products, ( p1), will be no higher than the percentage of defectives found in a competitor's line, ( p2), the system of hypothesis would be:    

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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{17+9}{180+225}=0.0642  

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Comparing the p value with the significance level given \alpha=0.01 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, so then the claim from the retailer makes sense at 1% of significance.  

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