Respuesta :
Answer:
Null hypothesis [tex]H_0:\mu=5.00km[/tex]
Alternative hypothesis [tex]H_1:\mu\neq 5.00km[/tex]
The p value is 0.000517, which is less than the significance level 0.01, therefore we reject the null hypothesis and conclude that population mean is not equal to 5.00.
Step-by-step explanation:
It is given that a data set lists earthquake depths. The summary statistics are
[tex]n=300[/tex]
[tex]\overline{x}=5.89km[/tex]
[tex]s=4.44km[/tex]
Level of significance = 0.01
We need to test the claim of a seismologist that these earthquakes are from a population with a mean equal to 5.00.
Null hypothesis [tex]H_0:\mu=5.00km[/tex]
Alternative hypothesis [tex]H_1:\mu\neq 5.00km[/tex]
The formula for z-value is
[tex]z=\frac{\overline{x}-\mu}{\frac{s}{\sqrt{n}}}[/tex]
[tex]z=\frac{5.89-5.00}{\frac{4.44}{\sqrt{300}}}[/tex]
[tex]z=\frac{0.89}{0.25634351952}[/tex]
[tex]z=3.4719[/tex]
The p-value for z=3.4719 is 0.000517.
Since the p value is 0.000517, which is less than the significance level 0.01, therefore we reject the null hypothesis and conclude that population mean is not equal to 5.00.
The complete statements for the series of questions are mathematically given as
- Null hypothesis H_0:u=5.00km
- Alternative hypothesis H_1:[tex]u \neq 5.00km[/tex]
- z=3.4719
- p-value= 0.000517.
- The null hypothesis would be rejected, and we would conclude that the population mean is not equal to 5.00.
What is the null and alternative hypotheses, test statistic, P-value?
Generally, the equation for the Hypothesis is mathematically given as
Null hypothesis H_0:u=5.00km
Alternative hypothesis H_1:[tex]u \neq 5.00km[/tex]
Therefore, z value
[tex]z=\frac{\overline{x}-\mu}{\frac{s}{\sqrt{n}}}[/tex]
[tex]z=\frac{0.89}{0.25634351952}[/tex]
z=3.4719
In conclusion
p-value= 0.000517.
Hence, The null hypothesis would be rejected, and we would conclude that the population mean n is not equal to 5.00.
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