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Svetradugi [14.3K]
4 years ago
8

if the range of the function f(x)=x/4 is {28,30,32,34,36}, what is its domain?a. {112, 120, 128, 136, 144}b. {118, 122, 124, 132

, 145}c. {110, 118, 122, 124, 137}d. {111, 124, 128, 132, 146}
Mathematics
1 answer:
Romashka [77]4 years ago
3 0
f(x)=\dfrac{x}{4}\to y=\dfrac{x}{4}\to x=4y\\\\y\in\{28;\ 30;\ 32;\ 34;\ 36\}\\\\4\cdot28=112\\4\cdot30=120\\4\cdot32=128\\4\cdot34=132\\4\cdot36=144\\\\Answer:D=\{112;\ 120;\ 128;\ 136;\ 144\}\to\fbox{a.}
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Whether you have to combine the two numbers together will be decided by you.

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Answer:

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Step-by-step explanation:

1) Data given and notation  

n=1000 represent the random sample taken

X=33 represent the number of circuits that show evidence of undercutting

\hat p=\frac{33}{1000}=0.033 estimated proportion of circuits that show evidence of undercutting

p_o=0.05 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)  

2) Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that they reduce the rate of undercutting to less than 5%.:  

Null hypothesis:p\geq 0.05  

Alternative hypothesis:p < 0.05  

When we conduct a proportion test we need to use the z statistic, 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{0.033 -0.05}{\sqrt{\frac{0.05(1-0.05)}{1000}}}=-2.467  

4) Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about 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 next step would be calculate the p value for this test.  

Since is a left tailed test the p value would be:  

p_v =P(Z>-2.467)=0.0068  

So the p value obtained was a very low value and using the significance level assumed for example \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of circuits that show evidence of undercutting is significantly less than 0.05.  

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