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inn [45]
2 years ago
12

Please answer quick as possible ​

Mathematics
2 answers:
Murrr4er [49]2 years ago
7 0

Answer:

The correct option is B

i just answer that on our test and i got A+

<h3 />
olga nikolaevna [1]2 years ago
3 0

Answer:

p + 2

Step-by-step explanation:

A=lb \\  \\  \implies \: b =  \frac{A}{l}  \\  \\  \implies \: b = \frac{p(4 {p}^{2} - 16) }{4p(p - 2)} \\  \\  \implies \: b = \frac{4p({p}^{2} - 4) }{4p(p - 2)}  \\  \\  \implies \: b = \frac{4p({p}^{2} -  {(2)}^{2} ) }{4p(p - 2)}   \\  \\  \implies \: b = \frac{\cancel{4p({p}   -  {(2)})}({p}  +   {(2)}) }{\cancel{4p(p - 2)}}\\  \\  \implies \huge \orange{ \: b =(p + 2)}

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Please help me on this question i would appreciate it
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Step-by-step explanation:

z = 35 because of the Z rule

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x = 120 because of the C rule

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3 years ago
A sample of 1500 computer chips revealed that 37% of the chips fail in the first 1000 hours of their use. The company's promotio
andreyandreev [35.5K]

Answer:

z=\frac{0.37 -0.39}{\sqrt{\frac{0.39(1-0.39)}{1500}}}=-1.59  

Step-by-step explanation:

Data given and notation

n=1500 represent the random sample taken

\hat p=0.37 estimated proportion of of chips fail in the first 100 hours

p_o=0.39 is the value that we want to test

\alpha represent the significance level

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that  the actual percentage that fail is different from the stated percentage. Find the value of the test statistic.:  

Null hypothesis:p=0.39  

Alternative hypothesis:p \neq 0.39  

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.

Calculate the statistic  

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

z=\frac{0.37 -0.39}{\sqrt{\frac{0.39(1-0.39)}{1500}}}=-1.59  

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Step-by-step explanation:

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