Answer:
The 95% confidence interval is [tex] 3.462 < \mu < 4.138 [/tex]
Step-by-step explanation:
From the question we are told that
The sample size is n = 50
The sample mean is [tex]\= x = 3.80[/tex]
The standard deviation is [tex]\sigma = 1.19[/tex]
Given that the confidence level is 95% then the level of confidence is mathematically represented as
[tex]\alpha = (100 - 95)\%[/tex]
=> [tex]\alpha = 0.05 [/tex]
Generally from the t distribution table the critical value of [tex]\frac{\alpha }{2}[/tex] at a degree of freedom of [tex]df = 50 -1 = 49[/tex] is
[tex]t_{\frac{\alpha }{2} ,49 } = 2.0096[/tex]
Generally the margin of error is mathematically represented as
[tex]E = Z_{\frac{\alpha }{2} } * \frac{\sigma }{\sqrt{n} }[/tex]
=> [tex]E =2.0096 * \frac{1.19}{\sqrt{ 50} }[/tex]
=> [tex]E = 0.3381 [/tex]
Generally 95% confidence interval is mathematically represented as
[tex]\= x -E < \mu < \=x +E[/tex]
[tex] 3.80 -0.3381 < \mu < 3.80 +0.3381[/tex]
=> [tex] 3.462< \mu < 4.138 [/tex]