CSU MBA5652 All discussions

MBA5652 all discussion
Unit 1 discussion
Introduce
yourself to your fellow students and instructor. Share your college degree
plans, briefly explaining what degree you are pursuing, why, and how you think
taking this course will assist you in achieving your personal or professional
goals.

You
can choose to introduce yourself via a video clip on YouTube. Simply provide
the hyperlink to your video in the Discussion Board where you would normally
insert your answer to the discussion question. All comments regarding the
videos must be made in Blackboard DB (not on YouTube). Please note that the
video is optional.

(Optional)
Comment on the following statement:
Any
significant business decision requires input from a research project. Please
defend or refute this statement.

Unit II discussion
Secondary data
have been called the first line of attack for business researchers. Discuss
this description.

Please
include the name of the person or question to which you are replying in the
subject line. For example, “Tom’s response to Susan’s comment.”
Unit III discussion
Yogi Berra, a
former New York Yankee catcher, said, “You can observe a lot just by watching.”
How does this fit in with the definition of scientific observation?
Unit IV discussion
Explain each term and provide a corresponding, real-world example to
demonstrate your understanding.
·
Sample
·
Sample
distribution
·
Sampling
distribution

Unit V discussion
Compare and
contrast deductive logic with inductive logic. Give a detailed example of both.
Unit VI discussion
Class
List three research obligations for research participants, researchers,
and research clients; explain why these obligations are important.

Unit VII discussion
Discuss three
ways that researchers can help maximize the integrity of data files for
research clients.
Unit VIII discussion

What is your
opinion of the course? Did it meet your expectations? What suggestions can you
offer for improvements of this course for future students?

(Optional):
Provide a work-related example in which a Type I error may be more serious than
a Type II error.