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charle [14.2K]
2 years ago
9

Helpp pls

Mathematics
2 answers:
Ratling [72]2 years ago
6 0

Answer:

B

Step-by-step explanation:

Substitute x = 5 and x = 9 into f(x) and equate

f(5) = (5 - b)² = 25 - 10b + b²

f(9) = (9 - b)² = 81 - 18b + b²

Then equating the 2 gives

b² - 10b + 25 = b² - 18b + 81 ( subtract b² - 18b from both sides )

8b + 25 = 81 ( subtract 25 from both sides )

8b = 56 ( divide both sides by 8 )

b = 7

Then

f(x) = (x - 7)² and

f(1) = (1 - 7)² = (- 6)² = 36 → B

fredd [130]2 years ago
4 0
I don’t know but try whatever you guys tell you
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Answer:

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Step-by-step explanation:

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Answer:

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z=\frac{31.1-31.3}{\frac{1.3}{\sqrt{140}}}=-1.82  

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If we compare the p value and the significance level given \alpha=0.02 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, so we can conclude that the true mean is NOT significantly different from 31.3 at 2% of signficance.  

Step-by-step explanation:

Data given and notation  

\bar X=31.1 represent the sample mean

\sigma=1.3 represent the population standard deviation for the sample  

n=140 sample size  

\mu_o =31.3 represent the value that we want to test  

\alpha=0.02 represent the significance level for the hypothesis test.  

z 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 can assume that we conduct a hypothesis in order to check if the true mean is equal to 31.3 , the system of hypothesis would be:  

Null hypothesis:\mu =31.3  

Alternative hypothesis:\mu \neq 31.3  

Since we know the population deviation, is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:  

z=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}} (1)  

z-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Calculate the statistic  

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

z=\frac{31.1-31.3}{\frac{1.3}{\sqrt{140}}}=-1.82  

P-value  

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

p_v =2*P(z  

Conclusion  

If we compare the p value and the significance level given \alpha=0.02 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, so we can conclude that the true mean is NOT significantly different from 31.3 at 2% of signficance.  

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