BUSINESS STATISTICS
3
Random Variables
Discrete Random Variables (RV)
3-1
Expectation
Variances
Some useful discrete RV
Continuous Random Variables
Some useful continuous RV
Summary and Review of Terms
International University School of Business
Assoc. Pr
HE_04A: Discrete Distribution and Counting Rules
1) A dairy farmer estimates for the next year the farms cows will
produce about 25,000 gallons of milk. Because of variation in the
market price of milk and cost of feeding the cows, the profit per gallon
m
CE_02A_Solutions: Numerical Descriptive Statistics
1) The XYZ Bank is interested in the number of times that customers use their credit cards
in a given period. A sample of n=20 cardholders was taken and it was found that the
number of times that they use
CE_04A: Discrete Distribution and Counting Rules
1)
You are offered an investment opportunity. Its outcomes and probabilities are presented in the
following table.
x
P(x)
$1000
$0
+$1000
+$2000
+$4000
Totals:
0.20
0.30
0.20
0.20
0.10
x P (x )
x 2 P ( x )
CE_02B_Solutions: Numerical Descriptive Statistics
1) A bottling company fills 100 cl volume bottles with soft drinks. An inspector takes a
sample of 20 bottles to measure the amount of the soft drink placed in the bottles. The
result is given in centilit
HE_01B_Solution - Organizing and Presenting Data (Chapter 3)
1.
Suppose 20 students eat lunch at a fast-food restaurant, spending
the
following a mounts:
$6.35
$4.75
$4.30
$5.40
$4.85
$6.60
$5.55
$4.90
$6.85
$7.50
$8.45
$6.05
$9.90
$5.75
S6.80
$4.30
$5.45
CE_01A_Solutions Introduction and Data collection (Chapters 1 & 2)
1. Claudia Taylor, Director of Global Industrial Sales in Melbourne, is concerned by a
deteriorating sales trend. Specifically, the number of customers is stable at 1500 but they
are purch
CE_03A_Solutions: Basic Probability
1) Shapiro, Director of Human Resources, is exploring employee absenteeism at Plain Power
Plant. An analysis of personnel records indicated that 20% of all plant employees are absent
excessively. This is an example of a
CE 03B_Solutions: Basic Probability
1) Let A be the event that a student is enrolled in an accounting course, and let S be the event that a
student is enrolled in a statistics course. It is known that 30% of all students are enrolled in an
accounting cour
HE_03A_Solutions: Basic Probability
1. The probability of a 2 on a fair toss of a fair die is 1/6. This is an example of assigning probabilities
by the _ method.
A.
B.
C.
D.
subjective probability
relative frequency
classical probability
empirical probabi
HE_01A_Solutions Introduction and Data collection (Chapters 1 & 2)
1. A market researcher is interviewing a number of people and asking them several
questions about their gender, income, the area in which they live and the costs of running
their car. Whic
A
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
B
C
D
E
F
G
H
Mean
3
Variance
1.2
Stdev
1.09544512
I
J
Binomial Distribution
x
0
1
2
3
4
5
n
5
p
0.6
P(Exactly x)
0.0102
0.0768
0.2304
0.3456
0.2592
0.0778
P(At most x)
A
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
B
C
D
E
F
M
N
O
P
Q
R
S
T
U
V
W
X
ANOVA
n
1
2
3
4
5
6
7
8
6
A
4
5
7
8
9
10
6
B
10
11
12
13
14
15
7
C
1
2
3
5
9
12
6
ANOVA Table
Source
SS
Between 171.11
Within 138.048
Total 309.158
df
MS
CE_04B: Binomial Distribution
1)
The quality management officer of a financial services firm is concerned with the number of
customers who are complaining about the service charges they are paying when they take out a
loan. Surveys of bank customers have
HE_02A_Solutions: Numerical Descriptive Statistics
1) A sales manager has sampled past sales records to determine how many televisions are
sold each day. Daily records for a sample of 5 days have been selected. The sales on
these days are: 2, 4, 5, 2, 7.
DATA ANALYSIS TECHNIQUES
11
11.1
Nonparametric Methods and ChiSquare Tests
Using Statistics
The Sign Test
The Mann-Whitney U Test
The Wilcoxon Signed-Rank Test
The Chi-square test
Graduate Transfer Program. VNU-HCM and UHCL-USA
Dr. Ho Thanh Phong
DATA ANA
BUSINESS STATISTICS
7-1
Comparison two populations
7 The Comparison of Two Populations
Paired-Observation and Independent sampling
A Test for the Difference between Two Population
Means Using Independent Random Samples
A Test for the Difference between
BUSINESS STATISTICS
Multiple Regression
9
Multiple Regression
Using Statistics
The k-Variable Multiple Regression Model
The F Test of a Multiple Regression Model
How Good is the Regression
Tests of the Significance of Individual
Regression Parameters
Asso
DATA ANALYSIS TECHNIQUES
9-1
8 Analysis of Variance (ANOVA)
Using Statistics
The Hypothesis Test of Analysis of Variance
The Theory and Computations of ANOVA
The ANOVA Table and Examples
Further Analysis
Using the Computer
Summary and Review of Terms
Grad
BUSINESS STATISTICS
5-1
CONFIDENCE INTERVAL
5. Confidence Intervals
Confidence Interval for the Population Mean When
the Population Standard Deviation is Known
Confidence Intervals for When is Unknown - The
t Distribution
Large-Sample Confidence Intervals
BUSINESS STATISTICS
6
6 -1
Hypothesis Testing
Hypothesis Testing
Using Statistics
Statistical Hypothesis Testing
A Two-Tailed, Large-Sample Test for the Population Mean
A Two-Tailed, Small-Sample Test for the Population Mean
A Two-Tailed, Large-Sample Tes
BUSINESS STATISTICS
1-1
International University School of Business
BUSINESS
STATISTICS
International University
Associate Prof. Ho Thanh Phong Pho
Assoc. Prof. Ho Thanh
BUSINESS STATISTICS
1-2
Business Statistics
Course: Business Statistics.
Text book:
BUSINESS STATISTICS
2
2-1
Probability
Basic Definitions: Events, Sample Space, and
Probabilities
Basic Rules for Probability
Conditional Probability
Independence of Events
Combinatorial Concepts
The Law of Total Probability and Bayes Theorem
Summary
Business Statistics
1
ECON 1030
Topic 0
DEFINING DATA AND GRAPHICAL TECHNIQUES
FOLLOWS CHAPTERS 1-3 IN TEXTBOOK
What is Business Statistics?
It is an application of statistics in the workplace
Not every manager will use statistics every day.
Yet manager
ETF5900-BEX5950 Business Statistics
Semester 1, 2016
Week 03 Tutorial
Part A: To be submitted online (link available in the Tutorial Material
Folder in Week 3).
Question A3.1
Term life insurance provides a fixed amount of insurance on a persons life for a
ETF1100 Business Statistics
Sem 1 2016
Sample Exam 1
Faculty of Business and Economics
EXAM CODES:
ETF1100
TITLE OF PAPER:
Business Statistics
EXAM DURATION:
2 hours writing time
READING TIME:
10 minutes
THIS PAPER IS FOR STUDENTS STUDYING AT:( tick where
Business statistics - Mock Test Top' ic l
Duration:40 minutes
Question 1
At a wedding banquet the guests are assignment to their tables. Each table has a number.
The table numbers are which scale of measurements?
) Nominal
b) Ordinal
) Interval
d) Ratio
e
Given Name:
ID. No:
Group no:
QUIZ Topic IX
1. Gippsland in Victoria is an important milk-producing area. Some people might argue that because of the
transportation costs, the cost of milk increases with the distance of markets from Gippsland. Suppose the