In: Statistics and Probability
A random sample of ?n measurements was selected from a population with standard deviation 13.913.9 and unknown mean ?μ. Calculate a 9999 % confidence interval for ?μ for each of the following situations:
(a) ?=35, ?⎯⎯⎯=104.9n=35, x¯=104.9
(b) ?=60, ?⎯⎯⎯=104.9n=60, x¯=104.9
(c) ?=85, ?⎯⎯⎯=104.9n=85, x¯=104.9
(d) In general, we can say that for the same confidence level, increasing the sample size the margin of error (width) of the confidence interval. (Enter: ''DECREASES'', ''DOES NOT CHANGE'' or ''INCREASES'', without the quotes.)
Ans (a)
99% confidence interval for when =104.9,n=35 , =13.9
At 99% CI the value of Z is 2.58
ME= margin of error
ME=Z*/
ME=2.58*13.9/
ME=6.0617
99%confidence interval is
(- ME, +Me)
(98.8382 ,110.9617)
Similarly, we can find b and c
b). n= 60
ME=4.0914
99% confidence interval is
(100.2702 ,109.5297)
C) n=85
ME=3.8897
99% confidence interval is
(101.0102 , 108.7897)
#conclusion : we can say that for the same confidence level ,increasing the sample size ,the margin of error ( width) of CI decreases.