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Homework 2
This assignment requires you to go to Stock
Charts http://stockcharts.com/ and select a chart. After you
have selected a stock and your chart, please describe the type of
chart you selected and what the information describes.
Homework 4
This week I am asking you to develop a survey to collect data
on the type of features students at a college (does not have to be
Cambridge College) will be looking for in a mobile App, and
the type of devices they are using. After you develop the
survey I am asking you to go out and survey 35 students/people.
Please submit your survey by noon, October 12, 2014 so I may
approve it before you collect the data.
Homework 5
1. Visit the Statistics exhibit section of the Annenberg/CPB
Projects Learner Online web site (Note: You may need to take
the What's Your Opinion on Polling survey in order to enter this
section of the web site.)
http://www.learner.org/exhibits/statistics
The Statistics exhibit has sections on survey questionnaires,
random sampling, and margin of error. Based on what you
learned in this module:
· What is a margin of error?
· Find and take the online survey What's Your Opinion on
Polling
· Then look up the results available at the end of the exhibit.
What do the results mean?
· Why is the survey statistically invalid?
· Can you describe three examples of survey data that
incorporate margins of error?
2. Cambridge College has hired you to assess the potential of its
new mobile app on improving student graduation rates. Initially
the College created this app because it is convinced that it will
improve student graduation rates.
· What type of questions should Cambridge College ask in
determining the accuracy of its assumption?
How can it estimate if its assumptions for the undergraduate
population are correct?
Homework 6
There are several steps in hypothesis testing. For the following
problems I have selected 3 actual companies located in
Massachusetts.
1. Fidelity Investments is a Boston, Massachusetts institution
and among the most diversified financial services companies in
the world, offering a full range of product solutions for
individual investors, employers, institutions and intermediaries.
Fidelity has $4.6 trillion in assets under administration,
including managed assets of $1.9 trillion, as of December 31,
2013. The company operates service centers in various cities
where customers can call to get answers to questions about their
investments. Previously the company studied the distribution of
time required for each call. It found that calls are normally
distributed, with a mean equal to 540 seconds. The call center
manager in Provo, Utah has selected a random sample of 50
calls and wants to determine whether the mean call time is now
fewer than 540 seconds after a training program given to call
center employees. She can test whether the time has decreased
by using the following steps:
2. Founded in 1846 in Charlestown, Massachusetts, Hood is a
company with more than $2 Billion in annual sales. The
company has 15 plants and uses filling machines for its gallon
milk containers. There is some variation in the actual amount of
milk that goes into the container. The machine can go out of
adjustment and put a mean amount either less or more than one-
gallon containers. To monitor the filling process, the production
manager for the Sacramento plant selects a simple random
sample of 16 gallons each day. He can test whether the machine
is still in adjustment using the following steps:
3. August Brothers Oil Company is an East Boston oil delivery
company that has been in business for more than 15-years. The
company delivers home heating oil and does oil burner repairs.
The company has an opportunity to invest its profits into either
increasing its oil delivery business or oil burner repair
business. Last year the company made a profit on average of 21
cents for every gallon of heating oil it sold, and $150.00 profit
on every burner it repaired. How can you use hypothesis testing
to test these two disparate operations and decide where to invest
the company’s profit?
Homework 7
The statistics t-test allows us to answer this question by using
the t-test statistic to determine a p-value that indicates how
likely we could have gotten these results by chance, if in fact
the null hypothesis were true (i.e. no difference in the
population). By convention, if there is less than 5% chance of
getting the observed differences by chance, we reject the null
hypothesis and say we found a statistically significant
difference between the two groups. For your homework this
week construct a t-Test for the CC mobile app. You may draw
on some of the examples and reasoning in our discussion forum.
Homework 8
In this assignment I am asking you to design an ANOVA test
similar to the one we discussed in our discussion forum.
Identify the factors and levels in you design. Is it a one factor
study or multi factor between subjects design?
Homework 9
For this homework I want you to replicate your work from the
discussion forum and look at consumer confidence and the DJIA
from the fourth quarter of 2013. Do you still hold the same
belief and assumption you formed when looking at 2008? Why
or why not?
Homework 10
For this homeowrk assignment do problems 1-7 from the
textbook.
http://onlinestatbook.com/2/distribution_free_tests/exercises.ht
ml
Homework 11
Course Syllabus
Fall 2014
BSM333-ON01 Business Statistics
Course Outline
School/Department Name: School of Undergraduate Studies
Program: Undergraduate B.S. Management
Course Number and Title: BSM333-ON01
Instructor:
Office location:
EMAIL:
Telephone
Course Dates: 9/7/2014 - 12/20/2014
Course Catalog Description: Business Statistics presents the use
of quantitative methods to define, analyze and choose among
business alternatives. The scientific method of problem solving
is presented to provide systematic analysis, selection and
evaluation of business alternatives. Various statistical tools are
introduced to collect, study and use information in support of
rational business decision-making. Topics include decision-
making under uncertainty, evaluating independent and
dependent alternatives, selection of alternatives given limited
resources, and forecasting.
Purpose: This course is designed to acquaint the students with
quantitative techniques current in management literature and
usage. It recognizes that the manager of today must be
conversant with and able to use appropriate mathematical and
analytical tools for solving problems. Primary emphasis is on
gaining understanding of the techniques, where and how they
are used, their reliability, validity, and reality. The basic
objective of this course is to give exposure to selected
quantitative techniques used in analyzing various business
problems in the area of accounting, finance, management,
marketing and production. Most of our efforts will go towards
the formulation of the problems, interpretation of the results
and analysis of its managerial implications. Our focus would be
on learning how to approach a problem systematically and to
develop an ability to think through a situation that is not
immediately comprehensible. The mathematical details of the
algorithms will not be emphasized. We however will use
EXCEL and a statistical calculator for the algorithmic
calculations in a few parts of this course.
Required Readings: Online Statistics Education: A Multimedia
Course of Study (http://onlinestatbook.com/). Project Leader:
David M. Lane, Rice University.
ADDITIONAL MATERIAL:
TI-30Xa Calculator
Access to Excel
FEDERAL CREDIT HOUR DEFINITION: For purposes of this
course and in accord with federal regulations, a credit hour is an
amount of work represented in intended learning outcomes and
verified by evidence of student achievement that is an
institutionally established equivalency that reasonably
approximates
1. Not less than one hour of classroom or direct faculty
instruction and a minimum of two hours out of class student
work each week for approximately fifteen weeks for one
semester or trimester hour of credit, or ten to twelve weeks for
one quarter hour of credit, or the equivalent amount of work
over a different amount of time, or
2. At least an equivalent amount of work as required outlined in
item 1 above for other academic activities as established by the
institution including laboratory work, internships,
COURSE Outcomes: This course includes requirements and
learning activities that promote your abilities to…
· use logical reasoning by studying patterns and relationships;
· use statistical models to describe real-world business
phenomena and to solve real-world business problems as well as
understand the limitations of models in making predictions and
drawing conclusions;
· organize data, communicate the essential features of the data,
and interpret the data in a meaningful way;
· do a critical analysis of scientific and other research;
· extract correct information from tables and common graphical
displays, such as line graphs, scatter plots, histograms, and
frequency tables;
· express the relationships illustrated in graphical displays and
tables clearly and correctly in words;
· use appropriate technology to describe and solve quantitative
problems and
· apply analytical thinking in a managerial environment
COURSE EVALUATION:
Homework
10%
Test 1
20%
Test 2
20%
Test 3
20%
Online Discussions
10%
Cumulative Final Exam
20%
Homework exercises: The homework exercises are due on the
date specified in the schedule. Each exercise will consist of
real-world applications of statistics within the context business
and management. You are expected to do the homework and
submit it on the day it is due. Late assignments will not be
accepted.
Tests: Tests will cover the major topic areas:
· Descriptive Statistics
· Inferential Statistics
· Correlation
· Regression
The final exam will be cumulative.
DISCUSSION FORUM: Each week there will be a discussion
forum to help solve a business-related problem, or explore a
business question of interest (e.g. consumer preference, item
pricing, etc.).
The purpose of the forum is to incorporate opportunities for
students to interact not only with the instructor, but with one
another. Interaction opportunities often involve responding to
a question posed by me, each other on a regular basis in order to
answer specific business questions. These discussions are
designed to provide students with a discussion forum in which
they could explore statistical concepts, share opinions and
ideas, and help each other learn important course material. The
interaction opportunities will focus on the following:
Discussion forums are to be posted weekly. The first 10 people
to post should answer the question to the best of their ability. If
you begin your response, and there are at least 10 responses
already posted, then your response must include a reference,
rebuttal, or further elaboration on a previous post. They will be
grades out of 100 as follows:
100 Points
Thoughtful and original post relating course material to the
discussion at hand.
80 Points
Thoughtful and original post with superficial relation to the
course material.
60 Points
Reiteration of previous post with little substantial original
content.
40 Points
Little or no consideration for course content.
0 Points
Incoherent or no response.
Descriptive statistics are the most familiar part of statistical
analysis. Averages-- mean, median, mode-- sometimes called
measures of central tendency; percentages; and measures of
spread or dispersion -- variance, standard deviation-- are very
common. We won't belabor these because most students have
had some exposure to them. While calculations for Samples and
Populations look similar, it's important to remember that a
sample is only an estimate and we'll need to use probability
theory to relate it to the true population parameter.
Graphs are often a useful supplement to descriptive statistics.
We can also look at relations between variables, using tools like
correlation, and regression
Collecting Data: Whenever you read a statistic, a question
should pop into your mind, "where did this number come
from?" Not all numbers are created equally, even if they are
printed on really nice glossy paper. Methodology and definition
are truly important. Samples need to be random. Getting a true
random sample requires real effort.
Uncertainty, Chance, and Probability: Decision making
involves uncertain outcomes and is the prime study of
probability. Financial markets display large amounts of
uncertainty. The theory of efficient markets concludes that
changes in stock prices should be random and unpredictable.
Analyzing data: Numbers by themselves are boring. They only
have interest in the context of a research question. Hypothesis
testing is a statistical way to answer questions like, "does
Energizer last longer? " or "do tax cuts increase consumer
spending?" For some questions we can compare populations.
For other questions we want to relate variables using correlation
or regression . Sometimes we will look for trends and cycles
using time series analysis .
Forecasting: Regressions are frequently used for forecasting.
Many economic variables are interconnected, so forecasters
build systems of equations to make forecasts.
EXPECTATIONS: You are expected to do the assigned
readings. This will enhance your understanding of the material.
Regular participation is critical to your success. Statistics
requires constant practice. Participation is an active not passive
activity. I encourage each of you to ask questions.
Academic Integrity: Acts of academic dishonesty include but
are not necessarily limited to: cheating on exams; plagiarism
(using someone else’s work and passing it off as your own
without properly identifying the source); presenting work
previously presented in another course without consulting the
instructor; purchasing exams or term papers; and submitting an
exam or any other work that was completed by another person.
ATTENDANCE POLICY: I expect you to participate every
week. I suggest reading the material on Sunday and Monday
and watching the demonstration videos. You should be prepared
to participate in the forums on Tuesday-Friday. Your
homework should be turned in on Saturday.
Students with Disabilities: Cambridge College complies with
the Americans with Disabilities Act and Section 504 of the
Rehabilitation Act to provide equal access to educational
programs at Cambridge College. Any student who feels s/he
may need an accommodation based on the impact of learning,
psychological, and/or physical disabilities and has appropriate
documentation may be eligible for accommodations. Students
should contact the Coordinator of Academic and Disability
Support Services as soon as possible at (617) 873-0191 or
[email protected].
Requests for accommodations should be made within the first
week of the term so that timely and appropriate arrangements
can be made. All students are expected to fulfill essential
course requirements in order to receive a passing grade in a
class, with or without reasonable accommodations.
Accommodations cannot be granted retroactively. All requests
are confidential.
Online Library Services: Cambridge College Online Library
(CCOL) provides an extensive collection of full-text articles
from thousands of scholarly journals and 75,000+ full-text
books; live reference librarian support 24/7/365; instruction and
resources for doing research in all of our subject areas, and
more. It’s free and always available. For information and
instructions about Cambridge College library services and
resources:
· go to
http://www.cambridgecollege.edu/library/instructions.cfm
· click the link How to Use CCOL Handbook
For information about traditional library arrangements for your
campus site, go to
http://www.cambridgecollege.edu/library/traditional_libraries.cf
m
Please provide the following information specific to each
course, making sure that the materials are available. Your
students depend on your expertise to direct them to the most
credible and valuable academic sources in your subject area.
For each assigned reading that is not in the required textbooks
or provided in a copyright-permitted handout,
· If in CCOL: give the citation, including the database and tell
them how to find it in CCOL ( an Author search is usually most
effective)
· If not in CCOL, but available free on public web: give the
URL
· If in Gutman or Babson Library: please say so
· If not online: say which local traditional libraries open to the
public have it in print. If students are not local, recommend that
they use the WorldCat database to find a local print copy
What are recommended journals and books for further reading
and research for this course and where can I see them in full-
text?
· If in CCOL: give the citation, with database, and tell them
how to find it in CCOL
· If not in CCOL, but available free on public web: give the
URL
· If in Gutman or Babson Library: please say so
· If not online: say which local traditional libraries open to the
public have it in print. If students are not local, recommend that
they use the WorldCat database to find a local print copy
COURSE OUTLINE
Module
Topic
Chapter
Date
1
Introduction
Chapter 1
9-7 thru 9-13
2
Graphing Distributions
Chapter 2
9-14 thru 9-20
3
Summarizing Distributions
Chapters 3
9-21 thru 9-27
4
Normal Distributions
Quiz 1
Chapter 7
9-28 thru 10-4
5
Research Design
Chapter 6
10-5 thru 10-11
6
Sampling Distributions
Estimation
Chapter 9 (pp301-313)
(pp321-324)
Chapter 10
(pp330-339)
10-12 thru 10-18
7
Logic of Hypothesis Testing
Chapter 11
10-19 thru 10-25
8
Testing Means
Chapter 12
10-26 thru 11-1
9
Analysis of Variance (ANOVA)
Chapter 15
11-2 thru 11-8
10
Chi Square
Quiz 2
Chapter 17
11-9 thru 11-15
11
Describing Bi-Variate Data
Chapter 4
11-16 thru 11-22
12
Regression
Quiz 3
Chapter 14
11-23 thru 11-29
13
Distribution Free Tests
Chapter 18
11-30 thru 12-6
14
Effect Size
Chapter 19
12-7 thru 12-13
15
Final Exam
12-14 thru 12-20
Notes:
Course Syllabus Template Part I (Course Outline)
Page 1 of 8
1
Section ON1 - Course Syllabus Page 1 of 6

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Homework 2This assignment requires you to go to Stock Charts h.docx

  • 1. Homework 2 This assignment requires you to go to Stock Charts http://stockcharts.com/ and select a chart. After you have selected a stock and your chart, please describe the type of chart you selected and what the information describes. Homework 4 This week I am asking you to develop a survey to collect data on the type of features students at a college (does not have to be Cambridge College) will be looking for in a mobile App, and the type of devices they are using. After you develop the survey I am asking you to go out and survey 35 students/people. Please submit your survey by noon, October 12, 2014 so I may approve it before you collect the data. Homework 5 1. Visit the Statistics exhibit section of the Annenberg/CPB Projects Learner Online web site (Note: You may need to take the What's Your Opinion on Polling survey in order to enter this section of the web site.) http://www.learner.org/exhibits/statistics The Statistics exhibit has sections on survey questionnaires, random sampling, and margin of error. Based on what you learned in this module: · What is a margin of error? · Find and take the online survey What's Your Opinion on Polling · Then look up the results available at the end of the exhibit. What do the results mean? · Why is the survey statistically invalid? · Can you describe three examples of survey data that
  • 2. incorporate margins of error? 2. Cambridge College has hired you to assess the potential of its new mobile app on improving student graduation rates. Initially the College created this app because it is convinced that it will improve student graduation rates. · What type of questions should Cambridge College ask in determining the accuracy of its assumption? How can it estimate if its assumptions for the undergraduate population are correct? Homework 6 There are several steps in hypothesis testing. For the following problems I have selected 3 actual companies located in Massachusetts. 1. Fidelity Investments is a Boston, Massachusetts institution and among the most diversified financial services companies in the world, offering a full range of product solutions for individual investors, employers, institutions and intermediaries. Fidelity has $4.6 trillion in assets under administration, including managed assets of $1.9 trillion, as of December 31, 2013. The company operates service centers in various cities where customers can call to get answers to questions about their investments. Previously the company studied the distribution of time required for each call. It found that calls are normally distributed, with a mean equal to 540 seconds. The call center manager in Provo, Utah has selected a random sample of 50 calls and wants to determine whether the mean call time is now fewer than 540 seconds after a training program given to call center employees. She can test whether the time has decreased by using the following steps: 2. Founded in 1846 in Charlestown, Massachusetts, Hood is a company with more than $2 Billion in annual sales. The company has 15 plants and uses filling machines for its gallon milk containers. There is some variation in the actual amount of
  • 3. milk that goes into the container. The machine can go out of adjustment and put a mean amount either less or more than one- gallon containers. To monitor the filling process, the production manager for the Sacramento plant selects a simple random sample of 16 gallons each day. He can test whether the machine is still in adjustment using the following steps: 3. August Brothers Oil Company is an East Boston oil delivery company that has been in business for more than 15-years. The company delivers home heating oil and does oil burner repairs. The company has an opportunity to invest its profits into either increasing its oil delivery business or oil burner repair business. Last year the company made a profit on average of 21 cents for every gallon of heating oil it sold, and $150.00 profit on every burner it repaired. How can you use hypothesis testing to test these two disparate operations and decide where to invest the company’s profit? Homework 7 The statistics t-test allows us to answer this question by using the t-test statistic to determine a p-value that indicates how likely we could have gotten these results by chance, if in fact the null hypothesis were true (i.e. no difference in the population). By convention, if there is less than 5% chance of getting the observed differences by chance, we reject the null hypothesis and say we found a statistically significant difference between the two groups. For your homework this week construct a t-Test for the CC mobile app. You may draw on some of the examples and reasoning in our discussion forum. Homework 8
  • 4. In this assignment I am asking you to design an ANOVA test similar to the one we discussed in our discussion forum. Identify the factors and levels in you design. Is it a one factor study or multi factor between subjects design? Homework 9 For this homework I want you to replicate your work from the discussion forum and look at consumer confidence and the DJIA from the fourth quarter of 2013. Do you still hold the same belief and assumption you formed when looking at 2008? Why or why not? Homework 10 For this homeowrk assignment do problems 1-7 from the textbook. http://onlinestatbook.com/2/distribution_free_tests/exercises.ht ml Homework 11 Course Syllabus Fall 2014 BSM333-ON01 Business Statistics Course Outline School/Department Name: School of Undergraduate Studies Program: Undergraduate B.S. Management Course Number and Title: BSM333-ON01
  • 5. Instructor: Office location: EMAIL: Telephone Course Dates: 9/7/2014 - 12/20/2014 Course Catalog Description: Business Statistics presents the use of quantitative methods to define, analyze and choose among business alternatives. The scientific method of problem solving is presented to provide systematic analysis, selection and evaluation of business alternatives. Various statistical tools are introduced to collect, study and use information in support of rational business decision-making. Topics include decision- making under uncertainty, evaluating independent and dependent alternatives, selection of alternatives given limited resources, and forecasting. Purpose: This course is designed to acquaint the students with quantitative techniques current in management literature and usage. It recognizes that the manager of today must be conversant with and able to use appropriate mathematical and analytical tools for solving problems. Primary emphasis is on gaining understanding of the techniques, where and how they are used, their reliability, validity, and reality. The basic objective of this course is to give exposure to selected quantitative techniques used in analyzing various business problems in the area of accounting, finance, management, marketing and production. Most of our efforts will go towards the formulation of the problems, interpretation of the results and analysis of its managerial implications. Our focus would be on learning how to approach a problem systematically and to develop an ability to think through a situation that is not immediately comprehensible. The mathematical details of the algorithms will not be emphasized. We however will use EXCEL and a statistical calculator for the algorithmic calculations in a few parts of this course. Required Readings: Online Statistics Education: A Multimedia Course of Study (http://onlinestatbook.com/). Project Leader:
  • 6. David M. Lane, Rice University. ADDITIONAL MATERIAL: TI-30Xa Calculator Access to Excel FEDERAL CREDIT HOUR DEFINITION: For purposes of this course and in accord with federal regulations, a credit hour is an amount of work represented in intended learning outcomes and verified by evidence of student achievement that is an institutionally established equivalency that reasonably approximates 1. Not less than one hour of classroom or direct faculty instruction and a minimum of two hours out of class student work each week for approximately fifteen weeks for one semester or trimester hour of credit, or ten to twelve weeks for one quarter hour of credit, or the equivalent amount of work over a different amount of time, or 2. At least an equivalent amount of work as required outlined in item 1 above for other academic activities as established by the institution including laboratory work, internships, COURSE Outcomes: This course includes requirements and learning activities that promote your abilities to… · use logical reasoning by studying patterns and relationships; · use statistical models to describe real-world business phenomena and to solve real-world business problems as well as understand the limitations of models in making predictions and drawing conclusions;
  • 7. · organize data, communicate the essential features of the data, and interpret the data in a meaningful way; · do a critical analysis of scientific and other research; · extract correct information from tables and common graphical displays, such as line graphs, scatter plots, histograms, and frequency tables; · express the relationships illustrated in graphical displays and tables clearly and correctly in words; · use appropriate technology to describe and solve quantitative problems and · apply analytical thinking in a managerial environment COURSE EVALUATION: Homework 10% Test 1 20% Test 2 20%
  • 8. Test 3 20% Online Discussions 10% Cumulative Final Exam 20% Homework exercises: The homework exercises are due on the date specified in the schedule. Each exercise will consist of real-world applications of statistics within the context business and management. You are expected to do the homework and submit it on the day it is due. Late assignments will not be accepted. Tests: Tests will cover the major topic areas: · Descriptive Statistics · Inferential Statistics · Correlation · Regression
  • 9. The final exam will be cumulative. DISCUSSION FORUM: Each week there will be a discussion forum to help solve a business-related problem, or explore a business question of interest (e.g. consumer preference, item pricing, etc.). The purpose of the forum is to incorporate opportunities for students to interact not only with the instructor, but with one another. Interaction opportunities often involve responding to a question posed by me, each other on a regular basis in order to answer specific business questions. These discussions are designed to provide students with a discussion forum in which they could explore statistical concepts, share opinions and ideas, and help each other learn important course material. The interaction opportunities will focus on the following: Discussion forums are to be posted weekly. The first 10 people to post should answer the question to the best of their ability. If you begin your response, and there are at least 10 responses already posted, then your response must include a reference, rebuttal, or further elaboration on a previous post. They will be grades out of 100 as follows: 100 Points Thoughtful and original post relating course material to the discussion at hand. 80 Points Thoughtful and original post with superficial relation to the course material. 60 Points Reiteration of previous post with little substantial original content. 40 Points Little or no consideration for course content. 0 Points Incoherent or no response. Descriptive statistics are the most familiar part of statistical
  • 10. analysis. Averages-- mean, median, mode-- sometimes called measures of central tendency; percentages; and measures of spread or dispersion -- variance, standard deviation-- are very common. We won't belabor these because most students have had some exposure to them. While calculations for Samples and Populations look similar, it's important to remember that a sample is only an estimate and we'll need to use probability theory to relate it to the true population parameter. Graphs are often a useful supplement to descriptive statistics. We can also look at relations between variables, using tools like correlation, and regression Collecting Data: Whenever you read a statistic, a question should pop into your mind, "where did this number come from?" Not all numbers are created equally, even if they are printed on really nice glossy paper. Methodology and definition are truly important. Samples need to be random. Getting a true random sample requires real effort. Uncertainty, Chance, and Probability: Decision making involves uncertain outcomes and is the prime study of probability. Financial markets display large amounts of uncertainty. The theory of efficient markets concludes that changes in stock prices should be random and unpredictable. Analyzing data: Numbers by themselves are boring. They only have interest in the context of a research question. Hypothesis testing is a statistical way to answer questions like, "does Energizer last longer? " or "do tax cuts increase consumer spending?" For some questions we can compare populations. For other questions we want to relate variables using correlation or regression . Sometimes we will look for trends and cycles using time series analysis .
  • 11. Forecasting: Regressions are frequently used for forecasting. Many economic variables are interconnected, so forecasters build systems of equations to make forecasts. EXPECTATIONS: You are expected to do the assigned readings. This will enhance your understanding of the material. Regular participation is critical to your success. Statistics requires constant practice. Participation is an active not passive activity. I encourage each of you to ask questions. Academic Integrity: Acts of academic dishonesty include but are not necessarily limited to: cheating on exams; plagiarism (using someone else’s work and passing it off as your own without properly identifying the source); presenting work previously presented in another course without consulting the instructor; purchasing exams or term papers; and submitting an exam or any other work that was completed by another person. ATTENDANCE POLICY: I expect you to participate every week. I suggest reading the material on Sunday and Monday and watching the demonstration videos. You should be prepared to participate in the forums on Tuesday-Friday. Your homework should be turned in on Saturday. Students with Disabilities: Cambridge College complies with the Americans with Disabilities Act and Section 504 of the Rehabilitation Act to provide equal access to educational programs at Cambridge College. Any student who feels s/he may need an accommodation based on the impact of learning, psychological, and/or physical disabilities and has appropriate documentation may be eligible for accommodations. Students should contact the Coordinator of Academic and Disability Support Services as soon as possible at (617) 873-0191 or [email protected]. Requests for accommodations should be made within the first week of the term so that timely and appropriate arrangements can be made. All students are expected to fulfill essential course requirements in order to receive a passing grade in a class, with or without reasonable accommodations.
  • 12. Accommodations cannot be granted retroactively. All requests are confidential. Online Library Services: Cambridge College Online Library (CCOL) provides an extensive collection of full-text articles from thousands of scholarly journals and 75,000+ full-text books; live reference librarian support 24/7/365; instruction and resources for doing research in all of our subject areas, and more. It’s free and always available. For information and instructions about Cambridge College library services and resources: · go to http://www.cambridgecollege.edu/library/instructions.cfm · click the link How to Use CCOL Handbook For information about traditional library arrangements for your campus site, go to http://www.cambridgecollege.edu/library/traditional_libraries.cf m Please provide the following information specific to each course, making sure that the materials are available. Your students depend on your expertise to direct them to the most credible and valuable academic sources in your subject area. For each assigned reading that is not in the required textbooks or provided in a copyright-permitted handout, · If in CCOL: give the citation, including the database and tell them how to find it in CCOL ( an Author search is usually most effective) · If not in CCOL, but available free on public web: give the URL · If in Gutman or Babson Library: please say so
  • 13. · If not online: say which local traditional libraries open to the public have it in print. If students are not local, recommend that they use the WorldCat database to find a local print copy What are recommended journals and books for further reading and research for this course and where can I see them in full- text? · If in CCOL: give the citation, with database, and tell them how to find it in CCOL · If not in CCOL, but available free on public web: give the URL · If in Gutman or Babson Library: please say so · If not online: say which local traditional libraries open to the public have it in print. If students are not local, recommend that they use the WorldCat database to find a local print copy COURSE OUTLINE Module Topic Chapter Date 1 Introduction Chapter 1 9-7 thru 9-13 2 Graphing Distributions Chapter 2 9-14 thru 9-20
  • 14. 3 Summarizing Distributions Chapters 3 9-21 thru 9-27 4 Normal Distributions Quiz 1 Chapter 7 9-28 thru 10-4 5 Research Design Chapter 6 10-5 thru 10-11 6 Sampling Distributions Estimation Chapter 9 (pp301-313) (pp321-324) Chapter 10 (pp330-339) 10-12 thru 10-18 7 Logic of Hypothesis Testing Chapter 11 10-19 thru 10-25 8 Testing Means Chapter 12 10-26 thru 11-1 9 Analysis of Variance (ANOVA)
  • 15. Chapter 15 11-2 thru 11-8 10 Chi Square Quiz 2 Chapter 17 11-9 thru 11-15 11 Describing Bi-Variate Data Chapter 4 11-16 thru 11-22 12 Regression Quiz 3 Chapter 14 11-23 thru 11-29 13 Distribution Free Tests Chapter 18 11-30 thru 12-6 14 Effect Size Chapter 19 12-7 thru 12-13 15 Final Exam 12-14 thru 12-20 Notes: Course Syllabus Template Part I (Course Outline) Page 1 of 8 1
  • 16. Section ON1 - Course Syllabus Page 1 of 6