Joint and Conditional
Probability
Learning Objectives
1. Calculate and interpret probabilities
from a contingency table.
2. Calculate and interpret
unconditional and conditional
probabilities.
3. Distinguish between independent
and dependent events.
Conti
WebEx Student Handbook
Fox School of Business
Online BBA Program
1
Table of Contents
Installing WebEx Training Manager . 3
Joining a Training Session . 4
Audio Setup . 4
Video Setup . 6
Participating During a WebEx Training Session . 8
Chat .
[Our first live WebEx online class meets Tuesday January 31, 2017, from 7:00-8:30 pm]
CourseSyllabusforOnlineStat2104:SelectTopicsinStatisticalBusinessAnalytics
CRN: 28320; Section 702; Online Classroom
SPRINGSEMESTER2017
(anychangestosyllabus/schedulewil
1. Find the slope-intercept form of the equation of the line through the point (- 4, 8) parallel to
the line 3x 5 y 5.
5
52
[A] y x
3
5
5
52
[B] y x
3
5
3
52
[C] y x
5
5
3
52
[D] y x
5
5
2. A manufacturer sells watches for $32. The manufacturer has fi
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.72562918
R Square
0.52653771
Adjusted R Sq 0.50161864
Standard Erro 8.23051892
Observations
21
ANOVA
df
Regression
Residual
Total
SS
MS
1 1431.3707 1431.3707
19 1287.08739 67.7414417
20 2718.4581
F
Signifi
Science of Statistics
Data individual facts or items of information
Primary data - data you collect to address the situation at hand
o Survey to determine whether more male or female Fox Business School students
have iPads
o Drilling of ten oil wells to d
Hunter Gray
Professor Savitz
Stat 2103: 8:00 MWF
3 May 2016
Exercise 1-3
Exercise 1.1
What kind of date is involved in the following situations: primary or secondary, cross sectional
or time series?
1.) Primary, time series
2.) Primary, time series
3.) Se
Terms
Probability
Random Experiment: A process that results in one of a number of possible outcomes.
The specific outcome that occurs cannot be predicted with certainty.
o Ex: Flipping a coin
o Outcomes: Heads or tails
Exhaustive: list of all possible out
Conditional Probability
Conditional rule: Let A and B be events and Pr cfw_B > 0
Pr(A given B) = Pr(A B)/Pr(B)
Multiplication Rule: Pr(AB)=Pr(B|A)Pr(A)=Pr(A|B)Pr(B)
Now, if the events are independent Prcfw_A B = Prcfw_APrcfw_B, but in this case Prcfw_B|A
Stratified and cluster sampling both attempt to deal with
problems with simple random sampling.
The first problem is that, while a simple random sample may
technically be unbiased, it may not be representative. For
example, suppose my population comprises
Hunter Gray
Professor Savitz
Stat 2103: 8:00 MWF
3 May 2016
Sample Size
Construct a problem using a sample size
Question:
7 peoples blood pressures have been measured after having been given a new prescription for
3 months. They had blood pressure increas
STAT1102. Quantitative Methods for Business II
[3.1]
Homework Assignment No.9
STAT1102. Quantitative Methods for Business II
[3.2]
Homework Assignment No.9
STAT1102. Quantitative Methods for Business II
[1.5]
Homework Assignment No.6
STAT1102. Quantitative Methods for Business II
Homework Assignment No.6
[1.6]
STAT1102. Quantitative Methods for Business II
Homework Assignment No.6
STAT1102. Quantitative Meth
STAT1102. Quantitative Methods for Business II
[1.2]
Homework Assignment No.4
STAT1102. Quantitative Methods for Business II
Homework Assignment No.4
7.
[1.4]
4.
8.
STAT1102. Quantitative Methods for Business II
12.
Homework Assignment No.4
15.
STAT1102. Quantitative Methods for Business II
[1.5]
Homework Assignment No.5
STAT1102. Quantitative Methods for Business II
Homework Assignment No.5
STAT1102. Quantitative Methods for Business II
Homework Assignment No.5
STAT1102. Quantitative Methods for Business II
[R.1]
Homework Assignment No.1
STAT1102. Quantitative Methods for Business II
Homework Assignment No.1
STAT1102. Quantitative Methods for Business II
Homework Assignment No.1
STAT1102. Quantitative Methods fo
STAT1102. Quantitative Methods for Business II
[1.7]
Homework Assignment No.7
STAT1102. Quantitative Methods for Business II
[1.8]
Homework Assignment No.7
STAT1102. Quantitative Methods for Business II
Homework Assignment No.7
STAT1102. Quantitative Methods for Business II
[R.3]
Homework Assignment No.2
[R.4]
STAT1102. Quantitative Methods for Business II
Homework Assignment No.2
[R.5]
edited 9/18/16
(R.4 #67 b-e)
edited 9/18/16
(R.5 #50)
STAT1102. Quantitative Methods for Busi
STAT1102. Quantitative Methods for Business II
[2.1]
Homework Assignment No.8
STAT1102. Quantitative Methods for Business II
Homework Assignment No.8
STAT1102. Quantitative Methods for Business II
Homework Assignment No.8
STAT1102. Quantitative Methods fo
STAT1102. Quantitative Methods for Business II
[3.1]
Homework Assignment No.3
[3.2]
STAT1102. Quantitative Methods for Business II
Homework Assignment No.3
[3.4]
STAT 10/18
Solving exponential equations
1. To solve, make the bases the same and set the exponents equal to each other
Example:
2x
81 =3
x1
,
2x
( 34 ) =3( x1)
,
8 x=x1 ; x=
1
7
2. When the bases cannot be the same, take the ln of both sides and use the
STAT 10/27
Rule of 72
1.
72
=n years
r
r = interest rate
n = number of years
2. Basic compound interest formula:
r
m
mt
( )
A=P 1+
A = future value
P = present value or principle
r = interest rate
m = # of times interest is compounded in a year
m
r
3. Eff
STAT 09/13
First Degree Equations
1. Linear equations - to solve: get variable on one side, numbers on the other
You may have to distribute to solve as well as combining like-terms
Reduce when you can
2. Rational equations to solve: multiply out the com
Hypothesis testing
Example Questions
Example-1:
Independent random sample of consumers were
asked about satisfaction with their computer system
in two slightly different ways. The options available
for answer were the same in the two cases. When
asked how
BA 2101 Syllabus
Scheuer, Fall 2016
PROFESSIONAL DEVELOPMENT STRATEGIES
BA 2101, Section 003
Fall 2016
Instructor:
Class Day/Time/Location:
Katie Scheuer
Tuesdays, 8:00AM 9:20AM in Alter Hall 034
Office Hours:
Tuesdays: 10:30AM 11:30AM in 134 Alter Hall (
CANDIDATE
Hillary Clinton
Donald Trump
Gary Johnson
Jill Stein
Undecided
CANADIATE
Hillary Clinton
Donald Trump
Gary Johnson
Jill Stein
Undecided
% of Voters
46.00%
41.00%
9.00%
3.00%
1.00%
% of Voters
46.30%
45.20%
7.10%
1.00%
0.40%
Cum. %
46%
87%
96%
99
DESCRIPTIVE STATISTICS:
FREQUENCY DISTRIBUTIONS
STATISTICAL GRAPHS &
NUMERICAL MEASURES
[Chapter 2]
Q: How can we best summarize
a large set of raw data values?
A: There are several methods
for summarizing a data set.
One of these methods is tabular
and