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AlladinOne [14]
4 years ago
10

Gio is solving the quadratic equation by completing the square 5x^2+15x-4=0 What's should gio do first?

Mathematics
1 answer:
Softa [21]4 years ago
5 1
Gio should for sure devide everything by ^2 and then combine like terms.
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The Bureau of Labor Statistics reported that the average yearly income of dentists in the year 2005 was $110,000. A sample of 81
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a) We want to test to determine if there has been a significant increase in the average yearly income of dentists, the system of hypothesis would be:  

Null hypothesis:\mu \leq 110000  

Alternative hypothesis:\mu > 110000  

b) z=\frac{120000-110000}{\frac{36000}{\sqrt{81}}}=2.5    

c) p_v =P(Z>2.5)=0.0062  

We see that the p value is lower than the significance level of 1-0.95=0.05 so then we can conclude that the true mean is significantly higher than 110000 because we reject the null hypothesis.

Step-by-step explanation:

Information given

\bar X=12000 represent the sample mean for the yearly income in 2006 for the dentists

\sigma= 36000 represent the sample population deviation

n=81 sample size  

\mu_o =110000 represent the value that we want to test

\alpha=0.05 represent the significance level

z would represent the statistic

p_v represent the p value for the test

a) Hypothesis to verify

We want to test to determine if there has been a significant increase in the average yearly income of dentists, the system of hypothesis would be:  

Null hypothesis:\mu \leq 110000  

Alternative hypothesis:\mu > 110000  

Since we know the population deviation the statistic is given by:

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

b) Statistic

When we replace the data given we got:

z=\frac{120000-110000}{\frac{36000}{\sqrt{81}}}=2.5    

c) P value

Now we can find the p value using the fact that we are conducting a right tailed test:

p_v =P(Z>2.5)=0.0062  

We see that the p value is lower than the significance level of 1-0.95=0.05 so then we can conclude that the true mean is significantly higher than 110000 because we reject the null hypothesis.

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