ECON7300 Statistics for
Business and
Economics
LECTURE 1:
INTRODUCTION AND
KEY STATISTICAL
CONCEPTS
REF: BLACK ET AL. CHS
1-3
Introduction
Statistics
The term statistics is used in two senses: plural
sense and singular
As a plural noun it refers to numeri
Leisi GUO 43065127 Ran HU 43367670
Answer to Dataset 1:
(a) Estimatte the regression model using weight to predict price
As the Excel result shows, the Slop is 2.99, and the Intercept is 9509.12. Therefore, the
equation for simple regression is:
(b) Inter
ECON7300 Tutorial Quiz 4
Name:
_
Tutorial Group:
_
Student Number:
_
Student Signature:
_
Answer all the questions. Round off your final result into FOUR decimal places
1. Random samples from two normal populations produced the following statistics:
2
S1
ECON7300 Tutorial Quiz 2
Name:
_
Tutorial Group:
_
Student Number:
_
Student Signature:
_
Answer all the questions. Round numerical answers to FOUR (4) decimal places
1. Suppose you have selected a random sample of 25 observations form a population
with m
ECON7300 Tutorial Quiz 5
Name:
_
Tutorial Group:
_
Student Number:
_
Student Signature:
_
Answer all the questions. Round off your FINAL answer to FOUR decimal places
1. Assume Y = selling price of a house (in thousands); X 1 = house size (in squares);
X
ECON7300 FINAL EXAM IMPORTANT INFORMATION
Date:
Thursday 19th November 2015
Time:
11:15am (arrive at your examination venue 15 minutes before the scheduled start)
Duration:
2 hours (120 minutes) working time + 10 minutes reading time
During reading time,
ECON7300 Practical 4
Week Beginning 22 August 2011
Topic 4: Estimation using Confidence Interval
Based on Chapter 8 of Berenson et al. (2010), Basic Business Statistics: Concepts and
Applications, 2nd Edition, Frenchs forest, N.S.W.: Pearson Australia
Exe
ECON7300 Practical 4
Week Beginning 22 August 2011
Topic 4: Estimation using Confidence Interval
Based on Chapter 8 of Berenson et al. (2010), Basic Business Statistics: Concepts and Applications, 2nd Edition,
Frenchs forest, N.S.W.: Pearson Australia
A.
ECON7300 Practical 12
Week Beginning 24 October 2011
Executive summary:
Chi-Square test: A test to measure the differences between what is observed and
what is expected according to an assumed hypothesis.
The Chi square test can be used when: (i) the data
Tutorial 2
Probability Concepts & Discrete Distributions
Tutorial Aims:
explain basic probability terms and concepts
compute and explain different types of probabilities
compute probabilities for discrete random variables
Reading: Berenson et al, Chs 4
9/2/2017
ECON7300
Statistics for Business and
Economics
Learning objectives of Lecture 6
Lecture 6: Analysis of Variance (ANOVA)
and Simple Linear Regression
Analysis
Lecture 6 ECON7300
After this lecture you should be able to:
- explain basic concepts of
8/30/2017
Questions from Lecture 4
Q1. You conduct a hypothesis test and you observe
values for the sample mean and sample standard
deviation when n = 25. You calculate a p-value of
0.0667 for the test statistic. What will happen to
the p-value if you obs
MGTS7608
Business and Society
1st Semester 2017
Learning Unit
Week 8: Corporate Governance
Name: Kin Hei Last Name: Tong
Student Number: 43119570
The companies that typically conduct business, be it within a company or
globally are required by governments
SOLUTIONS
Practical 12
Topic 12: Chi-square tests and decision analysis
Based on Chapter 15 of Berenson et al. (2015), Basic Business Statistics: Concepts and
Applications, 4th Edition, Frenchs forest, N.S.W.: Pearson Australia and Chapter 19 of Black et
Solutions to Lecture 10 Additional Questions
1. Using a smoothing coefficient of W = 0.3, exponentially smooth the series.
Year
1
2
3
4
5
Price
4.42
4.35
4.62
5.40
11.09
Ei
4.42 (i.e. E1 Y1 )
[(0.3 x 4.35) + (0.7 x 4.42)] = 4.3990
[(0.3 x 4.62) + (0.7 x 4
Solutions to Lecture 5 Additional Questions
1. The average IQ of university women is suspected to be more than the average 110 for
all students. A random sample of 64 women yielded an average IQ of 115.5 and a
standard deviation of 20. Can you conclude th
Solutions to Lecture 8 Additional Questions
1. The following is a partial completed ANOVA summary table for a multiple regression
model with two independent variables.
ANOVA
df
Regression 2
Residual
10
Total
12
SS
MS
F
30
120
150
MSR = 30/2 = 15
MSE = 120
8/4/2017
ECON7300 Statistics for Business and
Economics
Learning objectives of Lecture 3
After this lecture you should be able to:
- construct and interpret interval estimates for
the mean and the proportion
Lecture 3: Estimation using Confidence
Interval
8/23/2017
Questions from Lecture 3
Q1. Our survey of 120 students gave a mean weight
of 59.4kg and a standard deviation of 12kg. Find
the 90% confidence interval for the population
mean weight ()
X t
2
, n -1
59.4 (1.6577
s
n
12
)
120
Q2. You are opening
Tutorial 3
Normal and Sampling Distributions
Tutorial Aims:
understand the concept of continuous distributions; solve problems involving the normal
distribution
use the normal distribution to approximate the binomial distribution
use sampling distribut
8/2/2017
Questions from Lecture 1
Q1. According to survey 1, 60% of the students are female
and 40% are male. 70% live near St Lucia campus. 45% of
the students are female and live near St Lucia campus.
(a) Given that the student that is chosen is male, w
8/9/2017
Sampling distribution of the mean
Suppose we want to study the height of
students enrolled in ECON7300 in sem. 2,
2017
Suppose the heights of students (enrolled in
ECON7300 in sem. 2, 2017) are normally
distributed with a mean () of 168 cm and
8/19/2017
ECON7300 Statistics for Business and
Economics
Learning objectives of Lecture 4
Lecture 4:
Hypothesis Testing 1 One
Sample Tests
Lecture 4 ECON7300
1
We know that information contained in a sample
is subject to sampling error. The sample mean wi
7/23/2017
ECON7300 Statistics for Business and
Economics
Lecture 1:
Probability Concepts and
Discrete Distributions
Lecture 1 ECON7300
1
1
7/23/2017
Learning objectives of Lecture 1
After this lecture you should have a better
understanding of:
- basic pro
7/28/2017
Learning objectives of Lecture 2
ECON7300 Statistics for Business and
Economics
Lecture 2:
Probability Distributions and
Sampling Distributions
Lecture 2 ECON7300
1
(A) Probability distributions
Probability
distribution
Discrete probability
dist
8/26/2017
ECON7300
Statistics for Business
and Economics
Learning objectives of Lecture 5
After this lecture you should be able to:
- calculate the probability of Type II errors
- conduct hypothesis tests for the means of two
independent populations
- con
. VENUE: ' _
% THE UNIVERSITY gamma: _
01 QUEENSLAND ' m
w AUSTRALIA NUMBER:
STUDENT NAME: ' Family Name
First Name
_ FINAL EXAMINATION
' St Lucia Campus ' . Semester Two 2011
' .ECON 7300 STATISTICS FOR BUSINESS AND ECONOMICS
PERUSAL TIME . 10 mins. Du
10/28/2016
I. Past exam revision - Sem. 2, 2011
We use Z statistic because population
standard deviation is known
Part A MCQs
Part A MCQs
A1. (X1 - X 2 ) - Z
2
Part A - True/False questions
(510 - 480) - 1.96
Part B - Workout questions
(80) 2
100
12 22
ECON7300 Practical 10
Topic 10: Time-series forecasting I
Based on Chapter 14 of Berenson et al. (2015), Basic Business Statistics: Concepts and
Applications, 4th Edition, Frenchs forest, N.S.W.: Pearson Australia
A. MCQs
1. The effect of an unpredictable
ECON7300 Practical 11
Topic 11: Time-series forecasting II and index number
Based on Chapter 14 of Berenson et al. (2015), Basic Business Statistics: Concepts and
Applications, 4th Edition, Frenchs forest, N.S.W.: Pearson Australia
1. Using data saved in