What is Statistics
V c Hong V
University of Economics HCMC
June 2015
V c Hong V (UEH)
Applied Statistics
June 2015
1/1
Overviews of Statistics - Chapter 1
Chapter Content
1
1.1 What is Statistics?
V c Hong V (UEH)
Applied Statistics
June 2015
2/1
Overview
1. Given the contingency table shown here, find the probability that either event A2 or event
B2 will occur.
a. .5054
b. .0600
c. .4454
2. Given the contingency table shown here, find P(R L).
Survey question: Do you plan on retiring or keep working when y
Critical Values for the Tukey Q Test
d.f. = N K (ANOVA Error or Within d.f.) for ANOVA: Single Factor
d.f. = N R*C (ANOVA Within d.f.) for ANOVA: Two-Factor With Replication
d.f. = (R 1)*(C 1) (ANOVA Error d.f.) for ANOVA: Two-Factor Without Replication
N
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Quiz 5
1. To describe the number of blemishes per sheet of white bond paper, we would use a
discrete uniform distribution.
True
False
2. A discrete random variable has a countable number of distinct values.
True
False
\
3. If X is a discrete uniform rando
Commonly Used Formulas in Applied Statistics
Vo Duc Hoang Vu
20/10/2014
1
Sampling Distributions and Estimation (Chapter 8)
1.1
Commonly Used Formulas in Sampling Distributions
Sample proportion: p =
x
n
Standard error of the sample mean: x =
n
Confide
chapter 6 Key
1. A stock portfolio consists of two stocks X and Y. Their daily closing prices are correlated random variables
with variances 0X2 = 3.51 and 072 = 5.22, and covariance an: -1.55. What is the standard deviation of the sum
of the closing pric
Cumulative Standard Normal Distribution
Example: P( z < - 1.96) = 0.0250
This table shows the normal area less than z
z
-3.7
-3.6
-3.5
-3.4
-3.3
-3.2
-3.1
-3.0
0.00
0.0001
0.0002
0.0002
0.0003
0.0005
0.0007
0.0010
0.0013
0.01
0.0001
0.0002
0.0002
0.0003
0
Quiz 2
1. Which display is most likely to reveal association between X and Y?
a. Histogram.
b. Dot plot.
c. Scatter plot.
d. Pareto chart.
2. Compared to a dot plot, we lose some detail when we present data in a frequency distribution.
True
False
3. Which
Exercise on Chapte 8 - 9 -10
Student:
1. What is the approximate width of a 90% condence interval for the true population proportion if there are 12
successes in a sample of 25?
2. What is the approximate width of an 80% condence interval for the true pop
Chapter 9
Student: _
1. Varying the true mean is a movement along the power curve, not a shift in the curve.
True False
2. Larger samples lead to increased power, ceteris paribus.
True False
3. A null hypothesis is rejected when the calculated p-value is
100. On the basis of a survey of 545 television viewers, a statistician has
constructed a confidence interval and estimated that the proportion
of people who watched the season premiere of Glee is between .16
and .24. What level of confidence did the stat
LECTURE 3
Descriptive Statistics
Learning Objectives
Explain the concepts of center, variability, and shape
Calculate and interpret measures of center and variability
Transform a data set into standardized values
Apply the Empirical Rule and recognize out
LECTURE 3
Descriptive Statistics
Learning Objectives
Explain the concepts of center, variability, and shape
Calculate and interpret measures of center and variability
Transform a data set into standardized values
Apply the Empirical Rule and recognize out
LECTURE 3
Descriptive Statistics
Learning Objectives
Explain the concepts of center, variability, and shape
Calculate and interpret measures of center and variability
Transform a data set into standardized values
Apply the Empirical Rule and recognize out
LECTURE 5
Discrete Distributions
Learning Objectives
In this part of the lecture, you learn:
The properties of a probability distribution
To calculate the expected value and variance of a
probability distribution
To calculate probabilities from certain
- SAMPLE-MIDDLE EXAM
Statistics for Business
Time: 30 minutes for 20 questions
Student Name:_Student ID: _
Students are allowed to use textbooks, their own notes and calculators on the exam, but programmable computers
are not allowed.
MULTIPLE CHOICE. Cho
LECTURE 5
Discrete Distributions
Learning Objectives
In this part of the lecture, you learn:
The properties of a probability distribution
To calculate the expected value and variance of a
probability distribution
To calculate probabilities from certain
LECTURE 6
Continuous Probability
Distributions
Session Contents
Describing a Continuous Distribution
Uniform Continuous Distribution
Normal Distribution
Standard Normal Distribution
Normal Approximations
Exponential Distribution
Introduction to Cont
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Garvan Institute of Medical Research
Sydney, Australia
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MAT102 - STATISTICS FOR BUSINESS
Quarter 2 2016
Unit Guide
MAT102_STATISTICS FOR BUSINESS
QUARTER 2 2016
About Statistics for Business
Contacts
Below is a list of contacts for this unit. Please liaise directly with your lecturer/unit coordinator
regarding
Exercise on chapter 6 and 7
Student: _
1. A fair die is rolled. If it comes up 1 or 2 you win $2. If it comes up 3, 4, 5, or 6 you lose $1. Find the
expected winnings.
A. $0
B. $1
C. $0.50
D. $0.25
2. The number of people injured in rafting expeditions on
Applied Statistics in
Business & Economics
V c Hong V
vu.vo@ueh.edu.vn
Chapter 2
Data Collection
Chapter Contents
2.1
2.2
2.3
2.4
2.5
2.6
2.7
Definitions
Level of Measurement
Time Series versus Cross-Sectional Data
Sampling Concepts
Sampling Methods
Data
exercise on chapter 2, 3, 4 and 5
Student: _
1. A cluster sample is a type of stratified sample that is based on geographical location.
True False
2. Categorical data are also referred to as nominal or qualitative data.
True False
3. A population has grou
THE FOLLOWING 3 QUESTIONS HAD ERRORS IN ASBE 4e EXAM QUESTION DATABASE.
CORRECTED TEXT IS MARKED BELOW
33. John wants to compare two means. His sample statistics were and . Assuming equal variances, the 95
percent confidence interval for the difference of
Data Analysis for Business
and Economics
Chapter 4
Descriptive Statistics
Chapter Contents
4.1
4.2
4.3
4.4
4.5
4.6
4.7
4.8
Numerical Description
Central Tendency
Dispersion
Standardized Data
Percentiles, Quartiles, and Box Plots
Correlation and Covariance
Applied Statistics in
Business & Economics,
Vo Duc Hoang Vu
vu.vo@ueh.edu.vn
Chapter 3
Describing Data Visually
Chapter Contents
3.1
3.2
3.3
3.4
3.5
3.6
Visual Description
Dot Plots
Frequency Distributions and Histograms
Excel Charts
Line Charts
Bar Chart