ISE 225 Engineering Statistics I Fall Semester 2010
Homework #8 Due: Wednesday, November 10
Complete the following exercises from Hines, Montgomery, Goldsman, and Borror:
14-6
Use Excel to perform the analysis.
14-9
Do this one by hand. Show details of th
ISE 225 Engineering Statistics I Fall Semester 2010
Homework #7 Due: Wednesday, November 3
Complete the following exercises from Hines, Montgomery, Goldsman, and Borror:
12-2
part b) only. Use Excel to create the plots.
12-9
part a) only. Use Excel to ans
ISE 225 Engineering Statistics I Fall Semester 2010
Homework #6 Due: Wednesday, October 27
Complete the following exercises from Hines, Montgomery, Goldsman, and Borror:
11-34 Do this one by hand.
12-2
part a) only. Use Excel to perform the analysis. Make
ISE 225 Engineering Statistics I Fall Semester 2010
Homework #5 Due: Wednesday, October 13
Complete the following exercises from Hines, Montgomery, Goldsman, and Borror:
10-60
part a) only
11-50
do part a) as described for part b), use Excel to make the p
11-16 (a) Claim: the scrap rate is less than 7.5% H 0 : 7.5 H1 : < 7.5 claim
x = xi n = 55.98 8 = 6.9975 , = 1.25 , = 0.10
using a confidence interval z = z0.10 = 1.282
, x + z [ , 7.564]
n 8
, 6.9975 + 1.282 (1.25)
Since 0 [ , 7.564] , we should acce
ISE 225 Engineering Statistics I Fall Semester 2010
Homework #4 Due: Wednesday, October 6
Complete the following exercises from Hines, Montgomery, Goldsman, and Borror:
11-16
Assume = 1.25. Evaluate the test in part (a) by using an appropriate confidence
Homework 3 Solution 10-40 given: x = 1014 hours, = 25 hours, n = 20
(a) 95% 2-sided interval
= 1 95% = 0.05 / 2 = 0.025 from Table II in the Appendix z / 2 = z0.05 / 2 = 1.96
x z / 2 n x + z / 2 n 20)
1014 1.96(25 20) 1014 + 1.96(25 [1003.04,1024.96]
(b
ISE 225 Engineering Statistics I Fall Semester 2010
Homework #3 Due: Wednesday, September 15
1. Complete the following exercises from Hines, Montgomery, Goldsman, and Borror: 10-40 The life in hours of a 75-W light bulb is known to be approximately normal
Homework 2 Solution 10-2 We know that E ( X i ) = , which leads to 1 E (1 ) = [ E ( X 1 ) + E ( X 2 ) + + E ( X 7 ) ] = 7 1 E ( 2 ) = [ 2 E ( X 1 ) E ( X 6 ) + E ( X 4 ) ] = 2 So, both are unbiased estimators. We also know that Var ( X i ) = 2 , which mea
ISE 225 Engineering Statistics I Fall Semester 2010
Homework #2 Due: Wednesday, September 8
Complete the following exercises from Hines, Montgomery, Goldsman, and Borror:
10-2 Let X 1 , X 2 ,K , X 7 denote a random sample from a populaion having a mean an
Homework 1 Solution 8-2. The number of observation n = 64 The number of intervals = n = 8 Starting point = 32.0, Ending point = 38.0 The width of each interval is (38-32)/8 = 0.75 Class Interval Frequency 32 x < 32.75 4 32.75 x < 33.5 5 33.5 x < 34.25 14