Answer:
[tex]df=n-1=7-1=6[/tex]
The Confidence desired is 0.95 or 95%, then the significance is [tex]\alpha=0.05[/tex] and [tex]\alpha/2 =0.025[/tex], and the critical value in the t distribution with 6 degrees of freedom would be [tex]t_{\alpha/2}=2.447[/tex]
[tex]1.4-2.447\frac{0.23}{\sqrt{7}}=1.187[/tex] Â Â
[tex]1.4+2.447\frac{0.23}{\sqrt{7}}=1.613[/tex] Â Â
The 95% confidence interval for the true mean would be between (1.187;1.613) Â Â
Step-by-step explanation:
Information given
[tex]\bar X =1.4[/tex] represent the sample mean
[tex]\mu[/tex] population mean (variable of interest)
s=0.23 represent the sample standard deviation
n=7 represent the sample size Â
Confidence interval
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)
The degrees of freedom are given by
[tex]df=n-1=7-1=6[/tex]
The Confidence desired is 0.95 or 95%, then the significance is [tex]\alpha=0.05[/tex] and [tex]\alpha/2 =0.025[/tex], and the critical value in the t distribution with 6 degrees of freedom would be [tex]t_{\alpha/2}=2.447[/tex]
Now replacing we got:
[tex]1.4-2.447\frac{0.23}{\sqrt{7}}=1.187[/tex] Â Â
[tex]1.4+2.447\frac{0.23}{\sqrt{7}}=1.613[/tex] Â Â
The 95% confidence interval for the true mean would be between (1.187;1.613) Â Â