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DEVRY MATH399 All Weeks Discussions Latest 2019 JULY

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John Marsh
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DEVRY University MATH399 All Weeks Discussions Latest 2019 JULY

MATH399 Applied Managerial Statistics

Week 1 Discussion

Descriptive
Statistics

Initial
Post Instructions

When data
is collected, the most common calculations computed are the Measures of Central
Tendency, mean, median and mode. It is important to know how to compute these
values and it is also extremely important to know what these values mean in
context of the data set.

Use the
internet to find a data set. Key terms to search: Free Public Data Sets and
Medical Data Sets.

Introduce
your Data Set and Cite the Source.

Why was
this data interesting to you?

Calculate
measures of central tendency (Mean, Median & Mode) and measures of
variation (Range and Standard Deviation) for your data. Write a sentence for
each calculation explaining what that value means in context of your data.

MATH399 Applied Managerial Statistics

Week 2 Discussion

Misleading
Graphs

Initial
Post Instructions

After
exploring different types of graphs this week, it is unfortunate to learn that
there are sometimes misleading graphs used in the news, politics, medicine,
etc. in order to sway a decision or belief. Some items to watch out for in
graphs are—

Is there a
title that explains what the graph is displaying?

Are numbers
on the axis spaced out proportionally or have they been varied to create a
dramatic impression?

Is the
graph too loud? Does it have too many components that it distracts from
content?

Are there
sources cited to know where the data came from?

Use the
internet to find a misleading graph. Key Terms to Search: Misleading Graphs

Provide a
screenshot of the graph

Cite the
Source

Explain why
the graph is misleading

Analysis

Explain how
you would fix the graph so it is not misleading.

Explain why
the creator of the misleading graph would want to create the graph in the first
place.

MATH399 Applied Managerial Statistics

Week 3 Discussion

Statistics
and Probability in the News

Keep your
eyes and ears open as you read or listen to the news this week. Find/discover
an example of statistics & probability in the news to discuss the following
statement that represents one of the objectives of statistics analysis:
“Statistics and Probability helps us make decisions based on data
analysis.” Briefly discuss how the news item or article meets this
objective. Cite your references. Also, keep in mind and discuss how the impact
of your study on your patients or staff might differ if you found it in a
journal.

MATH399 Applied Managerial Statistics

Week 4 Discussion

Discrete
Probability Variables

Initial
Post Instructions

Topic: Poisson
Probability Distribution

The Poisson
Distribution is a discrete probability distribution where the number of
occurrences in one interval (time or area) is independent of the number of occurrences
in other intervals.

April
Showers bring May Flowers!! Research the “Average Amount of Days of
Precipitation in April” for a city of your choice.

In your
initial post,

Introduce

Introduce
the City and State. Let us know a fun fact!

Tell us the
average number of days of precipitation in that city for the month of April.

Cite your
Source

Calculations

What is the
probability of having exactly 10 days of precipitation in the month of April?

What is the
probability of having less than three days of precipitation in the month of
April?

What is the
probability of having more than 15 days of precipitation in the month of April?

Analysis

Write a
sentence for each of the probabilities explaining what those probabilities mean
in context of days of precipitation in your chosen city.

Would any
of the situations be considered unusual? Why or Why Not?

MATH399 Applied Managerial Statistics

Week 5 Discussion

Interpreting
Normal Distributions

Log onto
website where you can observe your service bill for the last 12 months
(electric bill, cell phone bill, water bill, etc.). If you do NOT feel
comfortable sharing this data, you can make up values.

In excel,
list the values of your bill for the last 12 months on one column.

Find the
sample mean and sample standard deviation of your data.

Pick three
bills from the last 12 months and change the values into z-scores. What does
the z-score tell you about that particular month?

Analysis

Between
what two values would be considered a normal bill? Remember, being within 2
Standard Deviations is considered normal.

Are any of
your bills in the last 12 months unusual? Very unusual?

Are there
times when you would accept an “unusual” bill? Explain.

MATH399 Applied Managerial Statistics

Week 6 Discussion

Confidence
Interval Concepts

Initial
Post Instructions

Find an
example of a confidence interval in the news, scholarly source or medical
journal. Summarize the article/study. Does the article/study include the sample
size and the level of confidence used to create the confidence interval?
Explain what the confidence interval means in context of the news article or
scholarly source.

MATH399 Applied Managerial Statistics

Week 7 Discussion

Rejection
Region

Initial
Post Instructions

After
reviewing data from a sample, an inference can be made about the population.
For example,

Find a data
set on the internet. Some suggested search terms: Free Data Sets, Medical Data
Sets, Education Data Sets.

Introduce
your Data Set and Cite the Source.

What trends
do you notice in your data set?

Based on
the trends and the history of your data set, make a claim. What kind of test
(left, right, two tailed) would you have to complete?

Explain the
steps needed to complete the Hypothesis Test. What is needed?

MATH399 Applied Managerial Statistics

Week 8 Discussion

Regression

Initial
Post Instructions

Medical
professionals can find relationships between variables. The more you drink
alcohol, the less functionality of your liver. The less carbohydrates a person
intakes, the lower their Body Mass Index.

Data can be
collected and organized as an ordered pair (x, y). The data can be analyzed to
determine the type and strength of a correlation and to calculate a regression
line in order to make a prediction.

Use the
internet to find a data set of ordered pairs. Key terms to search: Free Public
Data Sets and Medical Data Sets.

Create a
Post:

Introduce
your Data Set and Cite the Source.

Which would
be the independent variable, and which would be the dependent variable?

Without
drawing a scatter plot, would you expect a positive, negative or no
correlation? Explain.

Would you
categorize your data to have a strong or weak correlation? Why?

What would
the r2 value tell you about the data that you selected?

What is the
equation of the regression line?

Use the
regression line to make a prediction about the data you collected

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