TEST A
CHE 320
Statistical Modeling and Quality Enhancement
Midterm Examination 1 (TEST A)
Spring 2014
This is a closed book examination. Only a calculator is allowed. Please print your name on the
upper right corner of each page and on the last page wher
Lab 1: Introduction to JMP
Objectives
Familiarizing yourself with JMP
Analysis of data with one variable in JMP
Recitation/Labs
The weekly recitation/lab sections are integral to the ChE320 course to learn how to apply the
concepts that are introduced in
ChE 320 Homework 7:
Due Friday, October 21, 2016 by 11:30 am
Instructions: Please complete the following problems on separate, numbered pages. Start each problem on a new page
and write only on one side of a piece of paper. Only one side of a piece of pap
ChE 320 Homework 4:
Due Friday, September 23, 2016 by 11:30 am
Instructions: Please complete the following problems on separate, numbered pages. Start each problem on a new page
and write only on one side of a piece of paper. Only one side of a piece of p
ChE 320 Homework 5:
Due Friday, September 30, 2016 by 11:30 am
Instructions: Please complete the following problems on separate, numbered pages. Start each problem on a new page
and write only on one side of a piece of paper. Only one side of a piece of p
ChE 320 Homework 1:
Due Wednesday, Januarry 25, 2017 by 11:30 am at EE129
Instructions: Please complete the following problems on separate, numbered pages. Use the homework
cover page available in Blackboard. Start each problem on a new page and write onl
ChE 320_Spr_17_HW 1 Solution_Grading Scale
Total: 100 pts
(Please do not cut point more than once for the same mistake, e.g. If there are 3 parts in a question, answer was calculated wrong
in the 1st part. But the method was correct for the 2nd and 3rd pa
Data Summary and presentation
Population and sample
Representative picture. Obtained from Google Images
Population and sample
Representative picture. Obtained from Google Images
Sample Mean
Data: Tensile strength (psi) of randomly selected 8 O-Rings:
1037
1/26/17
1
Random Variables
A variable whose measured value can change
from one replicate of the experiment to another
is referred to as a random variable.
1/26/17
Conductivity of glass from (seemingly)
identical experiments.
Age of a randomly selected pe
ChE 320_Spr_17_HW 1 Solution
1-6. Open-ended question, your answers may be different. Representative answer is provided here:
Example of conceptual population: Conducting glass manufactured by the new method. (If used by industry, the population
Will exis
Homewovk i 'Salwhom I
?rob\em 4 AF ' 31. up
Ugr?~.b\t N Wham 3E Mum. V-VIMCQ. STU/UL Sims MBA WW
X (8' '7 . 7 237'! 70 97253161 mm: mnz
I - 70
MW 5:5: J: 851
= 1 9
SW 5 it g:
\jmm 1 6" ,_' Z Xi 31- #(ZXEB ,-_ 53253331 23.11.70. .:
M I a) 0(_OO\ (Zv 0 cf
Lab 3: Continuous Distributions and
Discrete Distributions (Chapter 3)
Objectives
Explore the various continuous distribution types
Use JMP and Excel to solve problems with normal distributions
Solve problems regarding discrete distributions (binomial and
Problem 1: 6-12
Summary of Fit
RSquare
RSquare Adj
Root Mean Square Error
Mean of Response
Observations (or Sum Wgts)
0.748257
0.734271
1.317963
4.3
20
Analysis of Variance
Source
DF
Model
Error
C. Total
1
18
19
Sum of
Squares
92.93353
31.26647
124.20000
EXQel/ZTMP *0 do We. glchAL-HQQJ ano-ySiS.
\lge:
Ute WU Lust TN?
(:1) Ho 43 0.931 We Row cfw_M 6m? same; (\HCDIWW
TM AW
? value. H Dosgh- oczo-O -_.Fou\'0 regedc
unxva-Itw I341
f
Ag
, ado
H h S '9
Hr gpd 390;
430
3 , Len-i Im Mum
f_,
Saklf 014(45):?
(a)
Homwaf L I
Home \=
a) Example. F Mme, writ-Jolt: Tack-FM rwl'e
b) Ext-Talk F (Pariah: GFA, 5M1 44m,e+c.
c) AMUW Varies. Mowuu 3
19an 142-
N0, 'H! writ I5 6+ VMJUMQIML 5JuHM is 11 Jane. em Mt rum)! Hum
emej ha. "h". LBW- Th3 SANFKL CS 5M
?rob(m ' " H" '-
N
CHE32000
Statistical Modeling and Quality Enhancement
Mid Term Exam 2 Spring Semester 2012
Time Allowed: 60 minutes
Total Marks: 50 marks
Tables of statistical data on Z, T and F distributions supplied.
Any calculators allowed.
Student may bring two sheet
a $3 a
$1?! ZiQ $; NF mg 8 WM Mi W8
Tow om 1 391* E TAM (EMF)
W70.
a=i+w~h~wrs 4333 I
R 3 i5? OQ DbgervmhovxS DP
EX VHSWW: SSW
Qkhw L = (P3 299 agar)
Task- For alwl'cmw. a? $12330: cfw_winch/tor coma a? We. Tag
Ho '" 741 : IE7. : ' ' 'PL: 0 Uunubles m
ChE 320 Spring 2017
Practice Exam 1 (100pts)
Instructions: Please read the questions carefully and plan accordingly before answering.
Name:_ _
Signature:_
Question 1. (20 pts)
A study was performed on wear of a bearing y and its relationship to x1 = oil v
ChE 320 Spring 2017
Practice Exam 1 (100pts)
Instructions: Please read the questions carefully and plan accordingly before answering.
Name:_ _
Signature:_
Question 1. (20 pts)
A study was performed on wear of a bearing y and its relationship to x1 = oil v
ChE 320_Spr_17_HW 2 Solution
3.20
a) AB = visit to hospital 4 that result in LWBS = 242.Then P(AB) = 242/22,252 = 0.011
b) A = visit to hospital 1, 2, or 3 = 5,292 + 6,991 + 5,640 = 17,923. Then P(A) = 17,926 /22,252 = 0.805
c) AB = visit to hospital 4 or
Under the above assumptions, let A be the rate at which
events occur, t be the length of a time interval, and X be
the total number of events in that time interval. Then, X
is called a Poisson random variable and the proba-
bility distribution of X is cal
Binomial Mean and Variance. . .
It can be Shown that
u=E(X)=np
and
For the previous example, we have
. E(X) = 10- 0.25 = 2.5.
. V(X) = 10- (0.25) - (1 0.25) = 1.875.