Respuesta :
Answer:
a)[tex]9.14-2.33\frac{2}{\sqrt{44}}=8.44[/tex]
[tex]9.14+2.33\frac{2}{\sqrt{44}}=9.84[/tex]
b) The 98% confidence interval would be given by (8.44;9.84)
For this case we can conclude that we have 98% of confidence that the true mean for the oxygen content is between 8.44 and 9.84 mg/L
Step-by-step explanation:
Previous concepts
A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".
The margin of error is the range of values below and above the sample statistic in a confidence interval.
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
[tex]\bar X=9.14[/tex] represent the sample mean for the sample
[tex]\mu[/tex] population mean (variable of interest)
[tex]\sigma=2[/tex] represent the population standard deviation
n=44 represent the sample size
Part a
The confidence interval for the mean is given by the following formula:
[tex]\bar X \pm z_{\alpha/2}\frac{\sigma}{\sqrt{n}}[/tex] (1)
In order to calculate the critical value [tex]t_{\alpha/2}[/tex] we need to find first the degrees of freedom, given by:
[tex]df=n-1=18-1=17[/tex]
Since the Confidence is 0.98 or 98%, the value of [tex]\alpha=0.01[/tex] and [tex]\alpha/2 =0.01[/tex], and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-NORM.INV(0.01,0,1)".And we see that [tex]z_{\alpha/2}=2.33[/tex]
Now we have everything in order to replace into formula (1):
[tex]9.14-2.33\frac{2}{\sqrt{44}}=8.44[/tex]
[tex]9.14+2.33\frac{2}{\sqrt{44}}=9.84[/tex]
Part b
The 98% confidence interval would be given by (8.44;9.84)
For this case we can conclude that we have 98% of confidence that the true mean for the oxygen content is between 8.44 and 9.84 mg/L