Answer:
The mean nicotine content with a 95% confidence interval is (25.52mg, 26.88mg).
Explanation:
The sample size is 95.
The first step to solve this problem is finding our degrees of freedom, that is, the sample size subtracted by 1. So
![df = 95-1 = 94](https://img.qammunity.org/2020/formulas/mathematics/college/spi2h4r5dabmabdndhwc4xewccwft9adzy.png)
Then, we need to subtract one by the confidence level
and divide by 2. So:
![(1-0.95)/(2) = (0.05)/(2) = 0.025](https://img.qammunity.org/2020/formulas/mathematics/college/6ome5fkdwmr6vrlex08uv5my05iy63g18s.png)
Now, we need our answers from both steps above to find a value T in the t-distribution table. So, with 94 and 0.025 in the t-distribution table, we have
.
Now, we find the standard deviation of the sample. This is the division of the standard deviation by the square root of the sample size. So
![s = (2.9)/(√(95)) = 0.2975](https://img.qammunity.org/2020/formulas/mathematics/college/h5cgizuq6ykdhzc8uc3og0rcvjg1uccjsz.png)
Now, we multiply T and s
![M = T*s = 2.28*0.2975 = 0.6783](https://img.qammunity.org/2020/formulas/mathematics/college/qbysplnldencsng12phpeffkuie78sv5af.png)
For the lower end of the interval, we subtract the mean by M. So 26.2 - 0.6783 = 25.52mg
For the upper end of the interval, we add the mean to M. So 26.2 + 0.6783 = 26.88mg
The mean nicotine content with a 95% confidence interval is (25.52mg, 26.88mg).