Introductory Statistics
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7830 Industry Overview Template
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TRUE FALSEConceptual
1. Liquidity refers to the ability of an enterprise to pay its debts as they mature.
2. The balance sheet omits many items that are of financial value to the business but cannot
be recorded objectively.
3. Financial flexibility measur
04-Creswell (Designing)-45025.qxd
5/16/2006
CHAPTER
8:35 PM
Page 58
4
CHOOSING A MIXED
METHODS DESIGN
R
esearch designs are procedures for collecting, analyzing, interpreting,
and reporting data in research studies. They represent different models for doi
1
Factorial design
Factor A
B2
In a factorial design, there are two or
more experimental factors, each with
a given number of levels.
A1
y11k
y12k
Observations are made for each
combination of the levels of each
factor (see example)
y13k
A2
y21k
y22k
Y23k
Regression
a
Variables Entered/Removed
Model
1
Variables
Entered
Variables
Removed
Per Capita
State and
Local Govt.
Spending for
Education:
b
2007
Method
.
Enter
a. Dependent Variable: Percent of Population Black: 2008
b. All requested variables entered.
Regression
Model Summary
Model
1
R
.431
R Square
a
Adjusted R
Square
.186
Std. Error of
the Estimate
.126
890.6092
a. Predictors: (Constant), Personal Bankruptcy Rate per 100,000: 2009, Homeownership Rate: 2008, Divorce
Rate per 1,000 Pop.: 2008
ANOVA a
S
If ? are independent events the P( limsup?) is either 0 or 1. It is of interest to determine when each of the cases occurs.
suppose P(An)<. Let B=cfw_: IAn()<. Show that P(B)=1.
n ?
BOSTON UNIVERSITY SCHOOL OF MANAGEMENT
Regression Project
Sign up your team on SMGTools by Thursday Feb 16
Part I due Friday February 24 6 p.m. Room 520F
Part II due Monday March 26 6 p.m. Room 520F
Read the entire project before you begin.
You work for a
II A
Table 1
Variable name
The excel formula
Household
income
Age of respondent
=HH_income
The sign of
coefficient
Positive
=age_resp
Positive
Education level of
respondent
Housing
ownership
=Educ_resp
Positive
=Housing_ownersh
ip
Negative
Number of hours
SM 221 Practice Questions for Exam #1
1. A city has variable weather during the fall. It rains on 20% of the days. Also. its
cold on 25% of the days. Assume rainfall and whether its cold are independent.
What is the probability that a given day will be ei
Review Problems Exam #2
1. The time it takes to drive from BU to Newton Centre on a weekday morning is
normally distributed with a mean, = 24 minutes and a standard deviation, = 8
minutes. What proportion of the drive times will be under 34 minutes?
2. In
More Review Problems Exam #2
1. Suppose we have a population with mean of 10 and standard deviation of 2. If
we randomly sample n = 64, what is the probability that sample mean, x-bar,
exceeds 11? (Excel Command)
2. Using the same information from problem
SM221
STATISTICALAND ECONOMICDECISION MAKING
Fall2011
Course Coordinator
Mark G.Kean
595Commonwealth, #606
Tel:6173534164
email:bird33@bu.edu
COURSEOBJECTIVES
A.
B.
C.
D.
E.
F.
Introduce basicconcepts and techniques inprobability and statisticswhich:
1.ca
Relationship between Standard Normal and Normal RV
1.
2.
3.
1.
2.
4.
5.
6.
1.
2.
3.
If asked to compute normal probabilities:
convert X probabilities to Z probabilities
Use Table V (gives area from -infinite to z) for values of z
For Probabilities of the
Continuous Random Variable = RV that has an infinite number of
possible values that is not countable
example: length, depth, volume, time, weight
CRV described by probability density function (pdf) or probability
distribution of X, smooth curve
f(x) > 0 (
PMF: p(x) = P(X =x) = nCx*p^x*(1-p)^(n-x), x= 0 , 1 , 2 , n,
"put the individual back into the population" -> key phrase revealing
problem as Binomial
use PMF to describe the probability distribution of X by math formula
(slide 49)
Mean = = np
Variance =
Mean of DRV
= = [x*p(x)]
Variance of DRV
= x^2*p(x) - ^2 OR (x - )^2*p(x) (using chart slide 28) ->
standard deviation is square root of this
Interpretation of the Mean (Law of Large Numbers)
As the number of trials of the experiment increases, the mean
n
Chapter 6:
Random variable (RV)
is any function that assigns one (and only one) numerical
value to each sample point
Discrete RV -> countable (finite or infinite number of possible
values)
examples: # of sales, # of calls, # of people in line, # of
mistak
Box-and-Whiskers Plot
smallest data value that is larger than LIF (in usual range)
largest data value that is smaller than UIF (in usual range)
-essentially largest and smallest values within inner fences
-if median is closer to Q1 -> right skewed
-if med
subset of population = sample (n)
SRS = each subset of population has chance of being selected
RS = each individual of population has chance of being selected
Data:
Qualitative - characteristics
nominal - no order, consists of names/labels (gender)
ordina
Probability and Stochastic Processes
A Friendly Introduction for Electrical and Computer Engineers
Second Edition
Quiz Solutions
Roy D. Yates and David J. Goodman May 22, 2004
The M ATLAB section quizzes at the end of each chapter use programs ava