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const2013 [10]
1 year ago
14

Match the symbol to the meaning f(x) \rightarrow -\infty Answer 1 x \rightarrow a^- Answer 2 x \rightarrow -\infty Answer 3 x \r

ightarrow a^+ Answer 4 x \rightarrow \infty Answer 5 f(x) \rightarrow aAnswer 6 f(x) \rightarrow \infty Answer 7

Mathematics
1 answer:
Helen [10]1 year ago
4 0

SOLUTION

Given the question in the image, the following are the solution steps to answer the question.

STEP 1: Define the key terms

\begin{gathered} f(x)\Rightarrow o\text{utput} \\ \rightarrow\Rightarrow approaches \\ a\Rightarrow a \\ \infty\Rightarrow\text{ infinity} \\ -\infty\Rightarrow\text{negative infinity} \end{gathered}

STEP 2: Match the symbol to the meaning

Hence, the correct meaning matching will be:

\begin{gathered} f(x)\rightarrow-\infty\Rightarrow\text{the output approaches negative infinity} \\ x\rightarrow a^-_{}\Rightarrow x\text{ approaches a from the }left \\ x\rightarrow-\infty\Rightarrow x\text{ approaches negative infinity} \\ x\rightarrow a^+\Rightarrow x\text{ approaches a from the right} \\ x\rightarrow\infty\Rightarrow x\text{ approaches infinity} \\ f(x)\rightarrow a\Rightarrow the\text{ output approaches a} \\ f(x)\rightarrow\infty\Rightarrow the\text{ output approaches infinity} \end{gathered}

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Step-by-step explanation:

Data given and notation  

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n=12 sample size  

\mu_o =10.1 represent the value that we want to test

\alpha=0.1 represent the significance level for the hypothesis test.  

t would represent the statistic (variable of interest)  

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

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the technique performs differently than the traditional method, the system of hypothesis would be:  

Null hypothesis:\mu =10.1  

Alternative hypothesis:\mu \neq 10.1  

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Calculate the statistic

We can replace in formula (1) the info given like this:  

t=\frac{10.5-10.1}{\frac{1.4}{\sqrt{12}}}=0.990    

P-value

The first step is calculate the degrees of freedom, on this case:  

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

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