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 Term
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 mil
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
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
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
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
$4.9
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 n
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 em
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
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
rel
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 w
CE_01B_Solutions - Organizing and Presenting Data (Chapter 3)
1. Suppose 20 students eat lunch at a fast-food restaurant, spending the following
amounts:
$6.35 $4.75 $4.30 $5.40 $4.85 $6.60 $5.55 $4.9
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)
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
Sour
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 whe
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
ECON1193 BUSINESS STATISTICS
FINAL EXAM FORMULA SHEET
_
[1] DESCRIPTIVE STATISTICS
Sample Mean (ungrouped):
Population Mean (ungrouped):
n
1
X X i
n i 1
Sample Mean (grouped):
Population Mean (grouped
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 Pr
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 Indepe
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 th
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 Analy
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
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
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
Busine
BUSINESS STATISTICS
2
2-1
Probability
Basic Definitions: Events, Sample Space, and
Probabilities
Basic Rules for Probability
Conditional Probability
Independence of Events
Combinatorial Concepts
I. Chng 0
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tiu gio dc "y ". L do kinh t hc cho yu cu nh vy l g?
Cu 2:
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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 ev
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 provi
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 minu