Respuesta :
Answer:
[tex]\bar X= \frac{\sum_{i=1}^n x_i}{n}[/tex]
[tex]s=\sqrt{\frac{\sum_{i=1}^n (x_i -\bar X)^2}{n-1}}[/tex]
[tex]\bar X=6.894[/tex] represent the sample mean for the sample  Â
s=0.269 represent the sample standard deviation
[tex]6.894-2.008\frac{0.269}{\sqrt{51}}=6.818[/tex] Â Â
[tex]6.894+2.008\frac{0.269}{\sqrt{51}}=6.970[/tex] Â Â
So on this case the 95% confidence interval would be given by (6.82;6.97) Â Â
Step-by-step explanation:
For this case we have the following data:
7.4 6.86 6.99 6.81 6.62 7.1 6.94 6.72 6.71 7.28 6.78 6.85 7.13 7.07 6.76 6.99 6.61 7.41 6.27 7.01 6.31 7.18 7.01 6.71 6.39 6.98 6.82 6.98 6.91 6.58 7.11 6.89 6.86 7.01 6.49 6.64 6.91 6.58 7.01 7.23 6.69 7.3 7.33 7.1 6.9 6.85 7.29 6.71 7.09 6.92 6.55
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". Â
The margin of error is the range of values below and above the sample statistic in a confidence interval. Â
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". Â
We can calculate the mean and the deviation from these data with the following formulas:
[tex]\bar X= \frac{\sum_{i=1}^n x_i}{n}[/tex]
[tex]s=\sqrt{\frac{\sum_{i=1}^n (x_i -\bar X)^2}{n-1}}[/tex]
[tex]\bar X=6.894[/tex] represent the sample mean for the sample Â
[tex]\mu[/tex] population mean (variable of interest)
s=0.269 represent the sample standard deviation
n=51 represent the sample size Â
The confidence interval for the mean is given by the following formula:
[tex]\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}[/tex] Â (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=51-1=50[/tex]
Since the Confidence is 0.95 or 95%, the value of [tex]\alpha=0.05[/tex] and [tex]\alpha/2 =0.025[/tex], and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-T.INV(0.025,50)".And we see that [tex]t_{\alpha/2}=2.008[/tex]
Now we have everything in order to replace into formula (1):
[tex]6.894-2.008\frac{0.269}{\sqrt{51}}=6.818[/tex] Â Â
[tex]6.894+2.008\frac{0.269}{\sqrt{51}}=6.970[/tex] Â Â
So on this case the 95% confidence interval would be given by (6.82;6.97) Â Â