Respuesta :
Answer:
CI ( 90% ) = ( 5.9694 ; 12.2272)
Step-by-step explanation:
The regression line is:
Sick Days = 14.310162 - 0.2369 (Age)
The employee 22 years old will have:
SD = 14.310162 - 0.2369 (22)
SD = 14.310162 - 5.2118 ⇒ SD = 9.0983
SE = 1.682207
And CI 90 % α = 10% α =0.1 α/2 = 0.05
sample size n = 10
degree of freedom df = n - 2 df = 8
From t-student table we find t(c) = 1.86
CI ( 90% ) = ( SD[22 years]) ± t(c)*SE
CI ( 90% ) = 9.0983 ± 1.86*1.682207
CI ( 90% ) = 9.0983 ± 3.1289
CI ( 90% ) = ( 5.9694 ; 12.2272)
Using the t-distribution, it is found that the 90% confidence interval for the average number of sick days an employee will take per year, given the employee is 22 is (6, 12.2).
We are given the standard error for the sample, which is why the t-distribution is used to solve this question.
The information to build the interval is:
- Sample mean of [tex]S(22) = \overline{x} = 14.310162 - 0.2369(22) = 9.1[/tex].
- Standard error of [tex]s = 1.682207[/tex].
- Sample size of [tex]n = 10[/tex].
The confidence interval is:
[tex]\overline{x} \pm ts[/tex]
The critical value, using a t-distribution calculator, for a two-tailed 90% confidence interval, with 10 - 1 = 9 df, is t = 1.8331.
Then:
[tex]\overline{x} - ts = 9.1 - 1.8331(1.682207) = 6[/tex]
[tex]\overline{x} + ts = 9.1 + 1.8331(1.682207) = 12.2[/tex]
The 90% confidence interval for the average number of sick days an employee will take per year, given the employee is 22 is (6, 12.2).
A similar problem is given at https://brainly.com/question/15180581