ISE 162 Fall 2009

www.engr.sjsu.edu/jgille

Green Sheet

San José State University, College of Engineering

ISE 162: Engineering Statistics and Analysis

Fall Semester, 2009 / Monday and Wednesday evenings, 6:00 - 7:15 / Engineering 405

Instructor: Jennifer Gille

Contact Information and Office Hours

Important notice: Please check your midterm problem #6.

If the number of points is listed as (15 pts) instead of (20 pts), it may have been mis-graded.

Please bring back next week so I can check!

Schedule
Date Reading due Homework
Exercises due Class notes Study Qs
for Quiz

08/24 Ch 1, Ch 2
Common Sense Statistics quiz
HW no. 1
1.14 1.15 2.3 2.14abcd 2.23
due 8/26 Lecture 1 SQ1

08/26 Ch 1, Ch 2
Study Questions quiz, SQ1
HW no. 2
2.27 2.33 2.34a 2.42
2.48 2.44 2.47 2.49
2.55 2.63 2.70 2.79
3.3 3.4
Bonus problems:
2.98 2.108 2.100
due 8/31 Lecture 2 SQ2

08/31 Ch 3
Multiplicative rules quiz
(Theorems 2.13, 2.14)
HW no. 3
2.82a 2.93 2.94
4.10
due 9/02 Lecture 3 SQ3

09/02 Ch 4
Study Questions quiz, SQ2,3
HW no. 4
3.5a 3.9 3.13 3.14a
3.17ab 3.19 3.37a 3.49
3.56 3.38a 3.46 3.47a
4.4 4.5 4.12 4.17
4.23
due 9/09 Lecture 4 SQ4

09/07
Labor Day
observed

09/09 Ch 5.1 - 5.4
Groups: start cheat sheets
HW no. 5
4.55 4.58 4.64 4.65
5.1 + find mean & variance
5.5 + find mean & variance
5.22 5.33 + find the mean
due 9/14 Lecture 5 SQ5

09/14 Ch 5.5 - 5.7
Linear combinations of
Random Variables quiz
HW no. 6
5.54a + mean & variance
5.57 + mean & variance
5.80
5.60 + mean & variance
due 9/16 Lecture 6 SQ6

09/16 Ch 6.1 - 6.5
Study questions quiz, SQ 4,5,6

HW no. 7
5.63 5.75
Bonus: 5.65 (Poiss approx to Bin)
6.21 + mean & variance
6.1abc 6.2 6.4 6.9 6.18
Bonus: 6.25
due 9/21 Lecture 7 SQ7

09/21 Ch 6.6 - 6.9
HW no. 8
6.26 6.53 + mean & variance
6.45 (chained)
not turned in Lecture 8 SQ8

09/23
Midterm I
Ch. 1-6

09/28 Ch 8.1 - 8.5
Quiz: Sample mean, median
mode, standard deviation, variance
HW no. 9
8.6 8.13 8.15 8.17
8.18 8.19 8.22 8.27
8.34 + box & whisker plot
due 9/30 Lecture 9 SQ9

09/30 Ch 8.6 - 8.9
HW no. 10
8.40 8.46 8.53 8.42
8.43 8.48 8.59
due 10/05 Lecture 10 SQ10

10/05 Ch 9.1 - 9.7, 9.14
HW no. 11
9.2a 9.81 (starting hint)
Plus 1
Plus 2
9.5 9.13
due 10/21 Lecture 11 SQ11

10/07 Ch 9.8 - 9.13
HW no. 12
9.35 9.38 9.40 9.43
9.46 (what do you need to do?)
9.44 9.53 9.67 9.72 9.78
due 10/21 Lecture 12 SQ12

10/12 Ch 10.1 - 10.7
HW no. 13
10.1 10.4 (use tables!) 10.15
10.19 10.23
If it says to use a p-value,
use alpha = .05 instead.
due 10/21 Lecture 13 SQ13

10/14

10/19

10/21
Ch 10.8 - 10.13
Quiz: Test of paired
observations (10.8)
HW no. 14
10.30 known var
10.28 unknown equal var
10.40 unknown unequal var
(what do you need to do here?)
10.42 paired obs
Plus list the real assumptions
10.58 single proportion
10.63 two proportions
10.69 single variance
10.76 two variances
due 10/26 Lecture 14 SQ14

10/26
Ch 10.14 - 10.19
Quiz: SQ 11, 12, 13

HW no. 15
throughout use critical values
rather than p-values
10.80 10.81 10.85 10.92
10.94 10.99
not turned in Lecture 15 SQ15

10/28 Ch 11.1-3
HW no. 16
11.3
due 11/04 Lecture 16 SQ16

11/02
Midterm II
Ch. 8-10

11/04 Ch 11.4-5, 7, 9, data plots
Ch 12.1-5
HW no. 17
Regression No.1
due 11/09 Lecture 17 SQ17

11/09 Ch 13.1-7
Quiz: Normal quantile/quantile
and various residuals plots
HW no. 18
(1) Regression No.2
(2) Turn in SQ 16 and 17
due 11/16 Lecture 18 SQ18

11/11
Veteran's Day
observed

11/16 Ch 13.8-12, Ch 14.1-3
HW no. 19
Below, throughout, use critical values
rather than p-values; use alpha = .05
(3) 13.4
(4) Using the data of 13.4,
test the average of tablets 1 and 2
against tablet 5
(5) Use the Tukey test on the data
of 13.4
(6) Use Dunnett's test on 13.4,
assuming tablet 1 is the control
due 11/18 Lecture 19 SQ19

11/18 Ch 14.4
HW no. 20
13.29 plus: what are your assumptions?
H₀, H₁?
The model, in effects coding? What is
your test statistic? How is it distibuted?
One tail or two tail? Degrees of
freedom? Critical value(s)?
Also, why are the brands (A, B, C)
listed in different orders for different
analysts?
13.39 plus: what are your assumptions?
H₀, H₁?
The model, in effects coding? What is
your test statistic? How is it distibuted?
One tail or two tail? Degrees of freedom?
Critical value(s)?
On page 566, Figure 13.15, is the
computer printout for a RCB-SF design.
Use plots to assess (a) normality and
(b) homoscedasticity for this study.
due 11/23 Lecture 20 SQ20

11/23 Ch 15.1 - 15.4
Quiz
Fill in an incomplete ANOVA table
HW no. 21

due 8/26 Lecture 21 SQ21

11/25
Thanksgiving Eve

11/30 Ch 15.7
HW no. 22

due 8/26 Lecture 22 SQ22

12/02 Ch 17.1 - 17.4
HW no. 23

due 8/26 Lecture 23 SQ23

12/07 Review

12/16
5:15 - 6:30 Final Exam

Schedule
Date	Reading due	Homework Exercises due	Class notes	Study Qs for Quiz
08/24	Ch 1, Ch 2 Common Sense Statistics quiz	HW no. 1 1.14 1.15 2.3 2.14abcd 2.23 due 8/26	Lecture 1	SQ1
08/26	Ch 1, Ch 2 Study Questions quiz, SQ1	HW no. 2 2.27 2.33 2.34a 2.42 2.48 2.44 2.47 2.49 2.55 2.63 2.70 2.79 3.3 3.4 Bonus problems: 2.98 2.108 2.100 due 8/31	Lecture 2	SQ2
08/31	Ch 3 Multiplicative rules quiz (Theorems 2.13, 2.14)	HW no. 3 2.82a 2.93 2.94 4.10 due 9/02	Lecture 3	SQ3
09/02	Ch 4 Study Questions quiz, SQ2,3	HW no. 4 3.5a 3.9 3.13 3.14a 3.17ab 3.19 3.37a 3.49 3.56 3.38a 3.46 3.47a 4.4 4.5 4.12 4.17 4.23 due 9/09	Lecture 4	SQ4
09/07	Labor Day observed
09/09	Ch 5.1 - 5.4 Groups: start cheat sheets	HW no. 5 4.55 4.58 4.64 4.65 5.1 + find mean & variance 5.5 + find mean & variance 5.22 5.33 + find the mean due 9/14	Lecture 5	SQ5
09/14	Ch 5.5 - 5.7 Linear combinations of Random Variables quiz	HW no. 6 5.54a + mean & variance 5.57 + mean & variance 5.80 5.60 + mean & variance due 9/16	Lecture 6	SQ6
09/16	Ch 6.1 - 6.5 Study questions quiz, SQ 4,5,6	HW no. 7 5.63 5.75 Bonus: 5.65 (Poiss approx to Bin) 6.21 + mean & variance 6.1abc 6.2 6.4 6.9 6.18 Bonus: 6.25 due 9/21	Lecture 7	SQ7
09/21	Ch 6.6 - 6.9	HW no. 8 6.26 6.53 + mean & variance 6.45 (chained) not turned in	Lecture 8	SQ8
09/23	Midterm I Ch. 1-6
09/28	Ch 8.1 - 8.5 Quiz: Sample mean, median mode, standard deviation, variance	HW no. 9 8.6 8.13 8.15 8.17 8.18 8.19 8.22 8.27 8.34 + box & whisker plot due 9/30	Lecture 9	SQ9
09/30	Ch 8.6 - 8.9	HW no. 10 8.40 8.46 8.53 8.42 8.43 8.48 8.59 due 10/05	Lecture 10	SQ10
10/05	Ch 9.1 - 9.7, 9.14	HW no. 11 9.2a 9.81 (starting hint) Plus 1 Plus 2 9.5 9.13 due 10/21	Lecture 11	SQ11
10/07	Ch 9.8 - 9.13	HW no. 12 9.35 9.38 9.40 9.43 9.46 (what do you need to do?) 9.44 9.53 9.67 9.72 9.78 due 10/21	Lecture 12	SQ12
10/12	Ch 10.1 - 10.7	HW no. 13 10.1 10.4 (use tables!) 10.15 10.19 10.23 If it says to use a p-value, use alpha = .05 instead. due 10/21	Lecture 13	SQ13
10/14
10/19
10/21	Ch 10.8 - 10.13 Quiz: Test of paired observations (10.8)	HW no. 14 10.30 known var 10.28 unknown equal var 10.40 unknown unequal var (what do you need to do here?) 10.42 paired obs Plus list the real assumptions 10.58 single proportion 10.63 two proportions 10.69 single variance 10.76 two variances due 10/26	Lecture 14	SQ14
10/26	Ch 10.14 - 10.19 Quiz: SQ 11, 12, 13	HW no. 15 throughout use critical values rather than p-values 10.80 10.81 10.85 10.92 10.94 10.99 not turned in	Lecture 15	SQ15
10/28	Ch 11.1-3	HW no. 16 11.3 due 11/04	Lecture 16	SQ16
11/02	Midterm II Ch. 8-10
11/04	Ch 11.4-5, 7, 9, data plots Ch 12.1-5	HW no. 17 Regression No.1 due 11/09	Lecture 17	SQ17
11/09	Ch 13.1-7 Quiz: Normal quantile/quantile and various residuals plots	HW no. 18 (1) Regression No.2 (2) Turn in SQ 16 and 17 due 11/16	Lecture 18	SQ18
11/11	Veteran's Day observed
11/16	Ch 13.8-12, Ch 14.1-3	HW no. 19 Below, throughout, use critical values rather than p-values; use alpha = .05 (3) 13.4 (4) Using the data of 13.4, test the average of tablets 1 and 2 against tablet 5 (5) Use the Tukey test on the data of 13.4 (6) Use Dunnett's test on 13.4, assuming tablet 1 is the control due 11/18	Lecture 19	SQ19
11/18	Ch 14.4	HW no. 20 13.29 plus: what are your assumptions? H₀, H₁? The model, in effects coding? What is your test statistic? How is it distibuted? One tail or two tail? Degrees of freedom? Critical value(s)? Also, why are the brands (A, B, C) listed in different orders for different analysts? 13.39 plus: what are your assumptions? H₀, H₁? The model, in effects coding? What is your test statistic? How is it distibuted? One tail or two tail? Degrees of freedom? Critical value(s)? On page 566, Figure 13.15, is the computer printout for a RCB-SF design. Use plots to assess (a) normality and (b) homoscedasticity for this study. due 11/23	Lecture 20	SQ20
11/23	Ch 15.1 - 15.4 Quiz Fill in an incomplete ANOVA table	HW no. 21 due 8/26	Lecture 21	SQ21
11/25	Thanksgiving Eve
11/30	Ch 15.7	HW no. 22 due 8/26	Lecture 22	SQ22
12/02	Ch 17.1 - 17.4	HW no. 23 due 8/26	Lecture 23	SQ23
12/07	Review
12/16 5:15 - 6:30	Final Exam

ISE Home CME Home

COE Home SJSU Home

Class schedules Finals schedule Calendar