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Amiraneli [1.4K]
2 years ago
7

Find the geometric mean of 8 and 253.

Mathematics
1 answer:
sveta [45]2 years ago
5 0

The geometric mean of 8 and 253 is;

<h3>Geometric mean of numbers</h3>

According to the question;

  • The task requires that the geometric mean of 8 and 253 be determined.

The geometric mean of a two numbers is the square root the product of the he numbers.

Hence, in this scenario;

The geometric mean of 8 and 253 is;

  • G.M = √8×253

  • G.M = √2024

G.M = 45.

Ultimately, the geometric mean of 8 and 253 is approximately 45.

Read more on geometric mean;

brainly.com/question/23483761

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Answer:

z=\frac{95-94}{\frac{5}{\sqrt{210}}}=2.898    

p_v =2*P(Z>2.898)=0.0038    

If we compare the p value and the significance level given \alpha=0.05 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the true mean is different from 94 at 5% of signficance.  

Step-by-step explanation:

Data given and notation    

\bar X=95 represent the sample mean    

\sigma=5 represent the population standard deviation    

n=210 sample size    

\mu_o =94 represent the value that we want to test    

\alpha=0.05 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 mean is different from 94, the system of hypothesis are :    

Null hypothesis:\mu = 94    

Alternative hypothesis:\mu \neq 94    

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{95-94}{\frac{5}{\sqrt{210}}}=2.898    

P-value    

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

p_v =2*P(Z>2.898)=0.0038    

Conclusion    

If we compare the p value and the significance level given \alpha=0.05 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the true mean is different from 94 at 5% of signficance.  

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