Answer:
The 95 confidence interval is [tex]9.738 < \mu < 10.262 [/tex]
Step-by-step explanation:
The sample size is n = 7
The sample data is 9.8, 10.2, 10.4, 9.8,10.0, 10.2, and 9.6 liters
Generally the sample mean is mathematically represented as
[tex]\= x = \frac{\sum x_i }{n }[/tex]
=> [tex]\= x = \frac{ 9.8 + 10.2 + 10.4 +\cdots + 9.6}{7 }[/tex]
=> [tex]\= x = 10[/tex]
Generally the standard deviation is mathematically represented as
[tex]\sigma = \sqrt{\frac{\sum ( x_i - \= x)^2 }{n-1} }[/tex]
=> [tex]\sigma = \sqrt{\frac{ ( 9.8 - 10)^2 + ( 10.2 - 10)^2+ \cdots + ( 9.6 - 10)^2}{7-1} }[/tex]
=> [tex]\sigma =0.283[/tex]
Note : We are making use of t distribution because n is small i.e n < 30
Generally the degree of freedom is mathematically represented as
[tex]df = n - 1[/tex]
=> [tex]df = 7 - 1[/tex]
=> [tex]df = 6[/tex]
From the question we are told the confidence level is 95% , hence the level of significance is
[tex]\alpha = (100 - 95 ) \%[/tex]
=> [tex]\alpha = 0.05[/tex]
Generally from the t distribution table the critical value of at a degree of freedom of is
[tex]t_{\frac{\alpha }{2}, 6 } = 2.447 [/tex]
Generally the margin of error is mathematically represented as
[tex]E = t_{\frac{\alpha }{2} , 6} * \frac{\sigma }{\sqrt{n} }[/tex]
=> [tex]E = 2.447 * \frac{0.283}{\sqrt{7} }[/tex]
=> [tex]E = 0.262 [/tex]
Generally 95% confidence interval is mathematically represented as
[tex]\= x -E < \mu < \=x +E[/tex]
=> [tex]10 -0.262 < \mu <10 + 0.262[/tex]
=> [tex]9.738 < \mu < 10.262 [/tex]