We will answer only the first question in the first picture - as per policy.
We have a normally distributed population, and we have the following information:
• The confidence level is C = 0.95
,
• The sample mean is x-bar = 12.3
,
• The sample standard deviation is s = 3.0
,
• The sample size, n = 8
And we have to find the confidence interval for the population mean, μ, using the t-distribution.
To find it, we can proceed as follows:
1. We have that the confidence interval for the population's mean, μ, using the t-distribution is given by:
![\bar{x}\pm t^(\ast)((s)/(√(n)))](https://img.qammunity.org/2023/formulas/mathematics/college/si15qdkp2ubfwf10wk66mwfx0xw3bjl5vo.png)
And we already know that the sample size is less than 30 (n < 30), the population's standard deviation is unknown, and the population is normally distributed.
2. Now, we have to find the value for t^* as follows:
![\begin{gathered} t^(\ast)=(1-0.95)/(2)=0.025 \\ \\ t^(\ast)=0.025 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/dyoub0aszll5ba2ovv3bxsayjpyahelnoc.png)
3. Now, we need to find the critical value for the t-distribution using the inverse cumulative function using the degrees of freedom, n - 1. In this case, n = 8. Then the degree of freedom is 7. Then the inverse cumulative function is:
![\begin{gathered} \text{ invT\lparen0.025,7\rparen=}2.36462425159 \\ \\ t^(\ast)=2.36462425159\approx2.36 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/jlpb6bglo2qq88ux7j3d2lp2lpa8t2m541.png)
4. Now, since the t-distribution is symmetrical, then we can use the formula for the confidence interval as follows:
![\begin{gathered} \bar{x}\pm t^{\operatorname{\ast}}((s)/(√(n))) \\ \\ 12.3\pm2.36((3.0)/(√(8))) \end{gathered}]()
5. Finally, the confidence interval is:
![\begin{gathered} 12.3+2.5031580054=14.8031580054\approx14.8 \\ \\ 12.3-2.5031580054=9.7968419946\approx9.8 \\ \\ (9.8,14.8) \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/zs5co5561ozas20nksfch1n8qh8zta7uq1.png)
Therefore, in summary, the confidence interval is (9.8, 14.8).