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Hi attached is the four separate questions
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DISCUSSION WK 1
As a student at UMGC, you have been asked to join a fictional committee
that will partner with new students in various programs of study. You
will work alongside UMGC students from other programs to coordinate
a weekend event that includes a tour of the campus, an informal meeting
with students who are interested in your program, and a lunch-and-learn
session with a panel of experts from various fields.
During the meeting with students who may be interested in your field of
study, one student mentions that a program requirement is statistics.
That student asks you why statistics is needed in this program. Do
research online and create a thoughtful reply to the student, including a
list of at least three specific ways statistics are used in your field. Include
references from the online sources. This reply serves as your initial post
to the discussion and is due by 11:59 p.m. EST on Saturday.
Read the replies from the other members of the class, and compare the
role that statistics plays in various fields. Are you surprised by any of the
ways that statistics can be used across disciplines? Did you see any
commonalities? Make at least one substantive peer reply post by 11:59
p.m. EST by Tuesday.
Rubrics
DISCUSSION POST WK 2
Your work on the new student committee was a huge success! The
director of new student recruitment has requested that you continue
your work on the committee. Specifically, the director would like you to
distribute a small survey to the students who attended the weekend
event, gauging their level of interest in studying at UMGC. The director
is interested in obtaining demographic information from the prospective
students, the academic program into which they would enroll, and their
overall level of interest in attending UMGC. The survey questions and
results are below:
Survey questions given to prospective
students
What is your age?
Would you live in on-campus housing or off-campus housing?
Into which academic program would you enroll?
How likely are you to attend UMGC in the next year? (Rate: 1–4,
1 is not likely and 4 is very likely)
•
•
•
•
Student
Age
Housing
Academic Program
Likely to attend UMGC
1
18
Off campus
Political science
4
2
19
Off campus
History
1
3
17
On campus
Cybersecurity
2
4
30
Off campus
Nursing
4
5
18
On campus
History
3
6
21
On campus
Psychology
4
7
45
Off campus
Business
2
8
20
On campus
Business
3
9
18
On campus
Accounting
4
10
36
Off campus
Nursing
4
11
25
Off campus
History
2
12
29
Off campus
Sociology
2
13
31
Off campus
Spanish
2
14
19
On campus
Psychology
2
Your first task is to define the data resulting from each survey question
as qualitative or quantitative. If the variable is qualitative, indicate if it is
nominal or ordinal. If it is quantitative, indicate whether it is discrete or
continuous and whether it is interval or ratio (see graphic below).
Next, create a table (a frequency distribution, stem and leaf plot, or a
grouped frequency distribution) to organize the data from one of the
variables. Include the table in your post. Does including the relative
frequency or cumulative frequency make the table more meaningful?
Why do you feel this table best organizes the data?
Then, consider how you might visually display the results as a graph (bar
graph, Pareto chart, dot plot, line graph, histogram, pie chart, or box
plot). Include the graph in your post. Why did you choose this graph?
Explain why you believe this graph is the best choice to display the data.
Finally, find the mean, median, and mode for one of the variables. Which
of these measures of central tendency do you think is the best choice for
“average” and why? Find the range and standard deviation (measures of
dispersion) for the variable. What would a narrower or wider deviation
signify in the context of this data?
Your initial post to the discussion (covering the four tasks above) is due
by 11:59 p.m. EST on Saturday.
Consider the graphs/charts and measures of central tendency and
dispersion that your peers have chosen. Do they align with your choices?
Discuss at least one benefit of your peers’ choices. Can you share a
recommendation to improve their choices?
DISCUSSION POST 4
By now you are adept at calculating averages and intuitively can
estimate whether something is “normal” (a measurement not too far
from average) or unusual (pretty far from the average you might expect).
This class helps to quantify exactly how far something you measure is
from average using the normal distribution. Basically, you mark the
mean down the middle of the bell curve, calculate the standard deviation
of your sample, and then add (or subtract) that value to come up with the
mile markers (z-scores) that measure the distance from the mean.
For example, if the average height of adult males in the United States is
69 inches with a standard deviation of 3 inches, we could create the
graph below.
Men who are somewhere between 63 and 75 inches tall would be
considered of a fairly normal height. Men shorter than 63 inches or
taller than 75 inches would be considered unusual (assuming our sample
data represents the actual population). You could use a z-score to look
up exactly what percentage of men are shorter than (or taller than) a
particular height.
Think of something in your work or personal life that you measure
regularly. (No actual calculation of the mean, standard deviation, or zscores is necessary.) What value is “average”? What values would you
consider to be unusually high or unusually low? If a value were unusually
high or low—how would it change your response to the measurement?
This serves as your initial post to the discussion and is due by 11:59 p.m.
EST on Saturday.
Review the responses provided by the other members of the class. Make
at least one substantive peer reply post by 11:59 p.m.
DISCUSSION POST 3
Probability tells us the chance or likelihood that a particular event will
occur. Whether or not we realize it, every day we use probability to
make decisions. For instance, when deciding whether to take an
umbrella, we check the weather forecast to see the probability that it
will rain. In this instance, probability tells us the likelihood that it will
rain; however, the decision about taking an umbrella is based on an
individual’s willingness to risk getting rained on. Some people will take
an umbrella when the probability of rain is at least 40%, while others will
wait until the probability is at least 60%.
What are two examples of when you have used probability to make a
decision? One example should be from your personal life and one from
your work life. If you do not work, show two examples from your
personal life. Provide specific numeric values to show how you made the
decision. Share this information in your initial post to the discussion,
which is due by 11:59 p.m. EST on Saturday.
Review the examples provided by the other members of the class. Make
at least one substantive peer
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