PROBLEM SET 2 (With instructions)
Chapter 3
1. Group Project (6 pts) (a revised version of question 3.69 in the textbook)
The data file Mutual Funds contains information regarding nine variables from a sample of 868 mutual
funds:
Category Type of stocks c
PROBLEM SET 1 (With Instructions)
Chapters 1 and 2
Submit your problem set via Laulima. Type answers to the questions asked into a Word document and copy
and 'Paste special', any graphs or tables you have generated in Excel. Do not submit your Excel file!
PROBLEM SET 3 (With Instructions)
Ch 4 + Ch 6
Please submit a single Word file to Laulima with all the problems clearly labeled.
Chapter 4 Individual work
1. Do problem 4.10 and 4.11 page 149-150 (2 points) You need to show your work
to get credit.
4.10
a
Problem Set 7 (With instructions)
Chapter 12
All individual based
1. Problem 12.7 (a-d) (2 pt) File: Supermarket
a) Highlight last two columns of the data and use Chart Wizards scatter plot as above. Once
you have the scatter plot, place the cursor over o
P7
1. Obtain the equation to predict Revenue (Y) by using Flights as an independent (X)
variable and answer the following questions. Use the data for Flights and
Revenues in the Data1 tab. (3 pts) Use PHStat Regression - Simple Linear
Regression as shown
Problem Set 5 (with instructions)
Chapters 9 and 10 (2-sample case)
Chapter 9:
Note: For all problems except 1, to get full credit you need to state the hypotheses and write
a conclusion that includes how confident you are in the alternative. See the Chap
EXAM ONE BUS 310 A Name A few situations follow that require you to choose an appropriate term for the job. To refresh your memory some of the charts, tables, and summary measures that you have used include: A. P Chart B. Range and Mean Charts C. Frequenc
PS 5
1. Problems 9.73
a) H0: At least $100 reimbursement of the mean for office visits to physicians paid by
Medicare. H0 : $100
H1: Less than $100 reimbursement of the mean for office visits to physicians paid by
Medicare. H1 : < $100
Is there any eviden
Bus 310 Final Exam
Name:_
You work for Big Kuhuna Malasadas and you are interested in how best to increase profit from sales of your
malasadas. You have data collected over a series of 15 weeks on the following variables to help you
make some decisions.
P
PROBLEM SET 8
Chapter 13
Problem may be done as a group
1. Springville Herald Case Study page 485. (5 pts)
Use file SH13. You should include the following:
a. Interpretation of (adjusted) R2 and standard error.
b. The equation and interpretation of the sl
PROBLEM SET 3
Chapter 4 Individual work (These problems are like the problems in Sections 4.1 and 4.2).
1.
A survey of 400 grad students in an International Business class were cross classified
in a two way table shown below. You may use the two way table
EXAM ONE BUS 310 A Name Answer Key A few situations follow that require you to choose an appropriate term for the job. To refresh your memory some of the charts, tables, and summary measures that you have used include: A. P Chart B. Range and Mean Charts
PROBLEM SET 2 (With instructions)
Chapter 3
1. Group Project (6 pts) (a revised version of question 3.69 in the textbook)
The data file Mutual Funds contains information regarding nine variables from a sample of 868 mutual
funds:
Category Type of stocks c
PROBLEM SET 4
Chapter 14
These problems are the problems in Chapter 14 that is an electronic chapter available in
Resources on Laulima or at
http:/media.pearsoncmg.com/ph/bp/bridgepages/bp_levine_bridgepage/bs_6e/bsafc6e_ch14_cr
opped.pdf.
Individual Work
BUS310
PS1ExampleAnswers
PROBLEM SET 1
Chapters 1 and 2
All Individual work
1. Problem 1.6 (.5 pt)
a) Categorical
b) Numerical Continuous
c) Categorical
d) Numerical Discrete
e) Categorical
2. Problem 1.13 (1.5 pts)
In the today top story: North Dakota Ha
PS7
Rent.xls Delivery.xls
4/9/11
Question 1. (5 points)
An agent for a residential real estate company in a large city would like to be able to predict the monthly rental cost for apartments, based on the size of the apartment, as defined by square foot
SHIDLER COLLEGE OF BUSINESS
BUS 310 Statistical Analysis for Business Decisions (001 and 005)
Spring 2015
Instructor:
Bin Shen
Room A408
E-mail: binshen@hawaii.edu
Office Hours:
By appointment
Class Hours:
001 (3 credits) WF 09:00 10:15 a.m. Room D101
005
Accounting
1. A Language of Business
a. U.S. Financial Accounting Standards
b. IFRSs (International Financial Reporting
Standards)
2. A Data-Transformation Process
a. Data => Information => Decision Makers
Accounting Cycle (Data Journal Ledger
Trial Bala
1.4.11 Other Effective Sampling Methods
To estimate the percentage of defects in a certain manufacturing batch a quality control manager at
Apple selects every 12th ipod that comes off the assembly line starting with the tenth until she obtains a
sample o
Tony Cai
PROBLEM SET 2 (With instructions)
Chapter 3
1. Group Project (6 pts) (a revised version of question 3.69 in the textbook)
The data file Mutual Funds contains information regarding nine variables from a sample of 868 mutual
funds:
Category Type of
Statistics is often a way to give some credibility in a claim someone is making. As
mentioned in class, it is common for data to be misinterpreted or misused. The misuse of
statistics can be unethical because it can greatly impact the decisions of busines
PROBLEM SET 3
BUS 310 Halverson Spring 2016
1. How will marketers change their social media use in the near future? A survey by
Social Media Examiner reported that 78% of B2B marketers plan to increase their use
of LinkedIn, as compared to 54% of B2C mark
PROBLEM SET 2 (With instructions)
Chapter 3
1. The data file Mutual Funds contains information regarding nine variables from a sample of 868 mutual
funds:
Category Type of stocks comprising the mutual fund (small cap, mid cap, large cap)
Objective Objecti
PROBLEM SET 1
Chapters 1 and 2
All Individual work
1. Problem 1.6 (p.12) in the textbook (.5 point) For each of the following variables, determine whether the variable
is categorical or numerical. If the variable is numerical, determine if it is discrete
Chapter 3
Introduction of Chapter 3
Review
Population, sample, parameter, statistic
Descriptive, Inferential
Data types Categorical and Numerical
Discrete and continuous
Categorical data Bar, Pie, Pareto
Numerical data Stem and leaf,
Histogram, Poly
SIMPLE AND MULTIPLE LINEAR REGRESSION QUESTIONS
You can use these questions as a guide for creating reports for cases using regression
1. When do you use regression techniques?
When you have 2 or more quantitative variables and you wish to predict one of
PS4
Individual
1. 14.21
What is the difference between common cause variation and special cause variation?
Common cause variation can be reduced only by changing the process, which is usually the managements
responsibility. Special cause variation is not
PROBLEM SET 2 (With instructions)
Chapter 3
1. Group Project (6 pts) (a revised version of question 3.69 in the textbook)
The data file Mutual Funds contains information regarding nine variables from a sample of 868 mutual
funds:
Category Type of stocks c
S&P500
Mean
1129.748
Standard E 12.78899
Median
1135.855
Mode
1064.88
Standard D 92.22275
Sample Var 8505.035
Kurtosis
16.96363
Skewness -3.122445
Range
632.05
Minimum
625.59
Maximum 1257.64
Sum
58746.87
Count
52
NIKKEI
Mean
534.57
Standard E
7.048
Median
Name_ Bus 310 Lecture 18
Credit
Review: Testing Hypotheses for Equal Population Means Chapter 10 (section 5)
1. The categorical variable has only 2 categories (Lecture 16)
2. The categorical variable has 3 or more categories (Lecture 17)
a. The hypothese
Name_ Bus 310 Lecture 19
Credit (need of exercises)
Review: Chapter 11 Two categorical variables: Testing for equal proportions
1. Both categorical variables have 2 categories: A 2X2 crosstab table
In the 2x2 case we consider population proportions of ea
Name_ Bus 310 Lecture 20
Credit (need of exercises)
Review: Chapter 11 Two categorical variables: Testing for equal proportions
1. Both Categorical variables have 3 or more categories: A 3X3 or bigger table
2. Hypotheses
a. Null: No relationship
b. Alt:
Name_ Bus 310 Lecture 20
Credit
Review: Chapter 11 Two categorical variables: Testing for equal proportions
1. Both Categorical variables have 3 or more categories: A 3X3 or bigger table
2. Hypotheses
a. Null: No relationship
b. Alt: Relationship exists
Name_ Bus 310 Lecture 23
Credit
Review
1. Inferences about the Population slope (Is there a relationship?)
a. Using the p value (Significance of F) from the ANOVA We will use the same process that we
have been using.
b. Set up your null and alternative,