DSCI 205 Online
Introduction to Business Statistics
Spring 2015
Lee McClain
Office: Parks Hall 418
Campus Phone: (360) 650-3973
Office hours: TR noon to 1:50pm or by appointment (can be through Skype)
Email: [email protected]
Course Description: Statist
2.1
Response variable: measures outcome of a study
-particular quantity that we ask a question about in our study
Explanatory variable: explains or influences changes in a response variable
-calling one variable explanatory and the other response doesnt n
5.1 General Probability Rules
Rule 1 0 P ( A ) 1 for any event A
Rule 2 P (S) = 1
Rule 3 Complement rule: For any event A,
c
P( A = 1 P(A)
Example: If A is the event that a randomly chosen corporate CEO is female, then
Ac
is the
event that the CEO is male
Introduction
Confidence intervals estimate value of a population parameter
Tests of significance assess evidence for a claim
-both are based on sampling distributions of statistics
Both report probabilities that state what would happen if we used the infe
4.1 Randomness
Chance behavior is unpredictable in the short run but has a regular and predictable
pattern in the long run
Idea of probability is empirical
-based on observations rather than theorizing
Random: if individual outcomes are uncertain, but the
Exploratory analysis alone can rarely provide convincing evidence for its conclusions, because
striking patterns we find in data can arise from many sources
Anecdotal evidence: based on haphazardly selected individual cases that often to our attention
bec
7.1 Inference for the Mean of a Population
t distributions
Standard Error
When the deviation of a statistic is estimated from the data, result is called the standard error of
the statistic. Standard error of sample mean is
s
SE=
n
The t Distributions
Supp
Categorical: places a case into one of several groups or categories
Example: Male/female
Quantitative: numerical values that we can do arithmetic with
Skewed to the right: if right side extends much farther out than the left side
Skewed to the left: if le
Presenting Team Name: _
MGMT 311 Team Presentation Grading Sheet (40 points)
Completed Presentation (15 points) _
This is essentially an effort grade a team gets these points just for doing the assignment in good faith
Points will be deducted if hard co
Kyle Signst
Starbucks Manager
Kent Coburn
Wayne Mui
Kuhns
Jeffrey
Who is Kyle Signst?
Manager for 5 years
Starbucks employee for 7
years
6 months in Bellingham
Last store he managed was in
Everett
One promotion away from
regional or corporate manager
OPS 360 Operations Management
Name: _
Homework #4: Productivity/Inventory Problems
Professor Scott Roberts
W _
Show your final answers in the boxes provided
Show your work on these sheets; if your use a separate sheet or Excel, label with the question num
OPS 360 Operations Management
Name: _
Homework #4: Productivity/Inventory Problems
Professor Scott Roberts
W _
Show your final answers in the boxes provided
Show your work on these sheets; if your use a separate sheet or Excel, label with the question num
Date of Application
EMPLOYMENT APPLICATION
LAST NAME
We are proud to be a
drug-free workplace.
You can apply online
at www.haggen.com or
www.top-foods.com
All crew members must be at least 16 years of age. If you need an accommodation to complete the appl
AMA International
University
Prelim Lecture Note # 1
College of administrative
and Financial Science
Subject:-Management
Science 2 ABI-301
Introduction to operations Management
Prepared by: Abdulaziz Al-Saadi
http:/Amaiu.pbwiki.com
[email protected]
OPS 360 Operations ManagementName: Wayne Mui
Homework #2, Ch. 4 Questions
Professor Scott Roberts
W#: W01086666
Type your response to the following questions using this Word document. No hand
written responses.
1. Explain what is meant by a robust design.
OPS 360 Operations ManagementName: Wayne Mui
Homework #1, Chs. 1 & 2 Questions
Professor Scott Roberts
W#: W01086666
Type your response to the following questions using this Word document. No hand
written responses.
1. Consider your last (or current) job.
Handout 3
Math 114
Logarithm Handout
1. Solve the following for x:
a. log 2 ( x ) 1
b. log x (1) 0
c. x log 4 3 16
2. Simplify the following completely:
a. 3 log b b log b 1
b.
1
log b 64 log b 8 3 log b 4
2
c. 5 (log5 3log 5 7 )
2
d. log b (b log b (b lo
OPS 360 Operations Management
Homework #8, Ch. 11 Questions
Professor Scott Roberts
Name:
W
Type your response to the following questions using this Word document. No hand written responses.
1. What are the advantages and disadvantages of varying the size
Assignment Two Page 75, Problem 1.82 a) The deciles of the standard normal distribution are as follows: -1.28 is the point that marks off the lowest 10% and 1.28 is the point that marks off the highest 10%. We found these points by locating 10% and 9