In: Math
When σ is unknown and the sample is of size n ≥ 30, there are two methods for computing confidence intervals for μ. (Notice that, When σ is unknown and the sample is of size n < 30, there is only one method for constructing a confidence interval for the mean by using the Student's t distribution with d.f. = n - 1.) Method 1: Use the Student's t distribution with d.f. = n - 1. This is the method used in the text. It is widely employed in statistical studies. Also, most statistical software packages use this method. Method 2: When n ≥ 30, use the sample standard deviation s as an estimate for σ, and then use the standard normal distribution. This method is based on the fact that for large samples, s is a fairly good approximation for σ. Also, for large n, the critical values for the Student's t distribution approach those of the standard normal distribution. Consider a random sample of size n = 30, with sample mean x = 45.2 and sample standard deviation s = 5.3.
(a) Compute 90%, 95%, and 99% confidence intervals for μ using Method 1 with a Student's t distribution. Round endpoints to two digits after the decimal.
90% Lower limit and Upper limit
95% Lower limit and Upper limit
99% Lower limit and Upper limit
(d) Now consider a sample size of 50. Compute 90%, 95%, and 99% confidence intervals for μ using Method 1 with a Student's t distribution. Round endpoints to two digits after the decimal.
90% Lower limit and Upper limit
95% Lower limit and Upper limit
99% Lower limit Upper limit
Please show me how to do this on a TI 84 Calculator if possible. Thank you!
Solution:-
a) 90%, 95%, and 99% confidence intervals for μ using Method 1 with a Student's t distribution.
90% confidence intervals for μ is C.I = (43.556, 46.844).
C.I = 45.2 + 1.699*0.96764
C.I = 45.2 + 1.64403
C.I = (43.556, 46.844)
95% confidence intervals for μ is C.I = ( 43.220, 47.179).
C.I = 45.2 + 2.046*0.96764
C.I = 45.2 + 1.97979
C.I = ( 43.220, 47.179)
99% confidence intervals for μ is C.I = ( 42.532, 47.868).
C.I = 45.2 + 2.757*0.96764
C.I = 45.2 + 2.66778
C.I = ( 42.532, 47.868)
d) 90%, 95%, and 99% confidence intervals for μ using Method 1 with a Student's t distribution.
90% confidence intervals for μ is C.I = (43.943, 46.457).
C.I = 45.2 + 1.677*0.74953
C.I = 45.2 + 1.25697
C.I = (43.943, 46.457)
95% confidence intervals for μ is C.I = (43.693, 46.707).
C.I = 45.2 + 2.01*0.74953
C.I = 45.2 + 1.5066
C.I = (43.693, 46.707)
99% confidence intervals for μ is C.I = ( 43.191, 47.209).
C.I = 45.2 + 2.68*0.74953
C.I = 45.2 + 2.009
C.I = ( 43.191, 47.209)