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 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 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 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 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
8/9/2016
ECON7300 Statistics for Business and
Economics
Probability
distribution
Lecture 3:
Probability Distributions and
Sampling Distributions
Discrete probability
distribution
Continuous probability
distribution
Binomial
Normal
Poisson
Uniform
Hypergeo
8/26/2016
Questions from Lecture 4
Q1. In constructing a confidence interval to
estimate the population mean with a known
population standard deviation, which of the
following does not affect the width of the
confidence interval?
(a) The sample mean
(b) T
ECON7300 Practical 5
Topic 5: Hypothesis testing 1 One sample tests
Based on Chapter 9 of Berenson et al. (2015), Basic Business Statistics: Concepts and
Applications, 4th Edition, Frenchs forest, N.S.W.: Pearson Australia
A. MCQs
1. A method of statistic
ECON7300 Practical 2
Topic 2: Probability Concepts and Discrete Distributions
Based on Chapters 4-5 of Berenson et al. (2015), Basic Business Statistics: Concepts and
Applications, 4th Edition, Frenchs forest, N.S.W.: Pearson Australia
A. MCQs
1. A numeri
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
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
SOLUTIONS
Practical 4
Topic 4: Estimation using Confidence Interval
Based on Chapter 8 of Berenson et al. (2015), Basic Business Statistics: Concepts and
Applications, 4th Edition, Frenchs forest, N.S.W.: Pearson Australia
Executive Summary:
Statistical i
Lecture Objectives
ACCT7101
Accounting
1.
2.
3.
4.
Lecture 1
5.
6.
Introduction to Financial Accounting
7.
8.
Explain the business context and the need for decision making.
Define accounting, describe the accounting process and define the
diverse roles of
SOLUTIONS
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
Executive Summary:
Forecasting: The art
SOLUTIONS
Practical 9
Topic 9: Introduction to multiple regression
Based on Chapter 13 of Berenson et al. (2015), Basic Business Statistics: Concepts and
Applications, 4th Edition, Frenchs forest, N.S.W.: Pearson Australia
Executive Summary:
There are fou
8/30/2016
ECON7300
Statistics for Business
and Economics
1. Calculating the probability of Type II error
Type I and Type II errors
Lecture 6:
Calculating the probability of
Type II error
Hypothesis Testing 2 Two
Sample Tests
Hypothesis testing process use
ECON7300 Practical 6
Topic 6: Hypothesis testing 2 Two sample tests
Based on Chapter 10 of Berenson et al. (2015), Basic Business Statistics: Concepts and
Applications, 4th Edition, Frenchs forest, N.S.W.: Pearson Australia
A. MCQs
1. If you have samples
8/16/2016
ECON7300 Statistics for Business and
Economics
(A) Introduction
X
We used standard normal Z (i.e. Z ) to
compute probabilities for any normal distribution
The normal random variable X has mean and
standard deviation
Lecture 4: Estimation using
9/2/2016
Questions from Lecture 5
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 obse
7/25/2016
ECON7300 Statistics for Business and
Economics
Key statistical concepts
Statistics
The term statistics is used in two sense: plural
and singular
Lecture 1: Introduction and Key
Statistical Concepts
As a plural noun it refers to numerical
stateme
8/23/2016
ECON7300 Statistics for Business and
Economics
Lecture 5:
We know that information contained in a sample
is subject to sampling error. The sample mean will
almost certainly not equal the population mean
Hypothesis Testing 1 One
Sample Tests
Lect
8/19/2016
Questions from Lecture 3
Q1. When sampling without replacement from a
finite population such that the outcome of one
observation is dependent on the outcome of the
previous observation, which distribution applies?
(a) Poisson distribution
(b) Bi
8/2/2016
ECON7300 Statistics for Business and
Economics
Two branches of Statistics
Descriptive statistics
Collecting, describing, presenting data
Lecture 2:
Probability Theory
Probability Concepts and
Discrete Distributions
Inferential statistics
Draw
Solutions to Lecture 1 Additional Questions
1. Identify the type of variable of the following
(i) Eye colour
categorical
(ii) Weight
numerical, continuous
(iii) Number of TVs
numerical, discrete
(iv) Gender
categorical
2. Identify the level of measurement
SOLUTIONS
Practical 3
Topic 3: Probability Distributions and Sampling Distributions
Based on Chapters 5-7 of Berenson et al. (2015), Basic Business Statistics: Concepts and
Applications, 4th Edition, Frenchs forest, N.S.W.: Pearson Australia
Executive Sum
Semester 1, 2016
1304 AFE Mid Exam Info Sheet
Mid Exam Info Sheet for 1304 AFE (Business Statistics)
When: Thursday 21st April, 2016
Time: 6.00pm start
(If you are late to the exam, you will not be granted any extra time. Please
come to the venue at the l
Practice Questions for Mid Exam
1304 AFE-Business Statistics
Topics Examined: Lecture materials Weeks 3, 4 and 5
Continuous Normal Probability Distribution
Introduction to Inferential Statistics
Sampling Distributions for Sample Mean and Sample Proportion