PLAN/DO/REPORT Format
PLAN: State the objectives clearly
DO: The mechanics of the calculations
REPORT: Interpret the calculation results in the context of the original objectives.
Example:

Statistics for Management - ADM2303
Midterm Exam - Fall 2014
Time 13:00hrs - Date October 26
Duration: 2 hours
Professors: Davood Astaraky, Jonathan Li, Suren Phansalker, Rui Zhang
Last Name: _
Student #:
First Name: _
_
Section : _
1. Write in your last

Final Exam
ADM 2303
COURSE TITLE: Statistics for Management
7.00-10.00pm, Dec 9, 2010
Professors: BenAmor, Brand & Wright
Duration: 3 hours
FIRST NAME . LAST NAME . Student #. Section .
1.
Books are not permitted. One sheet of notes, 8.5" x 11",
writte

Review problems for the nal :
Problem 1.
The time (mins) to get a call to a healthcare provider follows an exponential distribution. The
mean time between calls is 12 mins.
a) What is the probability of getting no calls within 30 mins (or unit times)?
b)

Review questions from quality control
Question 1. High Speed Hamburger (HSH) restaurant prides itself on having the fastest
throughput of customers in the fast-food business. They use statistical methods to
monitor and improve their service, and have been

ADM2303 Davood Astaraky
Review Questions for the Mid-term Exam Fall 2014
Question 1.
Mothers Against Drunk Driving is a very visible organization whose main focus is to
educate the public about the harm caused by drunk drivers. A study was recently don

ADM2303 Davood Astaraky
Review Questions for the Mid-term Exam Fall 2014
Question 1.
Mothers Against Drunk Driving is a very visible organization whose main focus is to
educate the public about the harm caused by drunk drivers. A study was recently don

S-Charts
S-Charts are similar to R-Charts
S-Charts represent the Standard Devia5on of subgroups
R-Charts represent the Range of subgroups
S-Charts are interpreted similarly to R-Charts
R-Charts are more widely used since

CONTINUOUS PROBABILITY DISTRIBUTIONS DISTRIBUTIONS
Continuous probability distributions Continuous
Review of discrete and continuous random variables Continuous probability distributions (models) Continuous uniform probability distribution Normal probabi

RANDOM VARIABLES RANDOM
Random Variables Random
Introduction to random variables Discrete random variables Introduction to probability models Expected value and variance Operations on random variables
Random Variables Random
A random variable assumes a

University of Ottawa
LAST NAME (PRINT) STUDENT #.
School of Management
FIRST NAME (PRINT)
ADM 2303: STATISTICS FOR MANAGEMENT I FINAL EXAMINATION December 9, 2006
Section (Circle One): A B C D F G A Wednesday, 13:00 14:30 Friday, 11:30 13:00 B Wednesday,

Final Exam ADM2303 STATISTICS FOR MANAGEMENT I
December 17, 2007, 7.00-10.00pm Gym DEF Professors: Khoroshilov, Phansalker, Wright
Time allowed: 3 hours.
Closed book exam
First Name . Last Name . Student Number . Signature .
Students can obtain full marks

Exam
ADM 2303 COURSE TITLE: Statistics for Management Date of the exam: Dec 18, 2008 Duration: 3 hours
Professor: Wright
INSTRUCTIONS 1. 2. 3. Books and notes are not permitted. Calculators are permitted. Answer in the space provided on the question paper

ADM2303 Final Review Qu.#1 North American adult males (here after referred to as male/males) have body weight that is Normally distributed. The population of has a mean body weight of 170lbs with a standard deviation of 20 lbs. 1. What is the probability

Qu. #1. A telecommunications equipment vendor produces two lines of products (i) private network equipment and (ii) public network equipment. It estimates the market size for these two product lines in one years time as shown in the table: Estimated Marke

University of Ottawa
NAME: Time: 3 hours Total marks: 50 S.N.
Faculty of Administration
Section:
ADM 2303: STATISTICS FOR MANAGEMENT I FINAL EXAMINATION April 20, 1997 1400-1700
ALL ANSWERS (INCLUDING BRIEF EXPLANATIONS) GO ON THE ANSWER SHEET. THE EXAM Q

DISCRETE PROBABILITY DISTRIBUTIONS: The hyperGeometric, Binomial and Poisson models
Discrete Probability Discrete Distributions Distributions
A discrete random variable is a variable that can assume only a countable number of values Many possible outcome

ADM 2304 Midterm Question 1 [7 marks]
Winter 2009
The number of withdrawals at a bank machine was monitored during randomly chosen 10 minute intervals over the past month. Appendix A gives the data distribution and various analyses. a. Suppose you were to