QNT 351 All Weeks DQs

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QNT 351 Weeks 1-5 All DQs

Week 1, DQ 1

What is the importance of statistics in business
decision making? Describe a business situation where statistics was used in
making a decision.

Week 1, DQ 2

How would you define a variable? What is the
difference between a dependent and independent variable? Do you think both
variables are used in every research? Explain why or why not. Provide examples.

Week 1, DQ 3

Select four variables, other than what your fellow students
have already selected, that could be measured by nominal, ordinal, interval,
and ratio scale. Classify them by measurement scale and select descriptive
statistics that can be used to summarize data. Use the following table when

Level of Measurement

Descriptive
Stat and Justify Selection  Nominal
Ordinal  Interval Ratio

Week 2, DQ 1

What are the various methods one can use to identify
the shape of data distribution collected for research study? Why it is
important to know the shape of distribution? How it can be used in decision
making? Provide examples other than those already posted in class.

Week 2, DQ 2

Can mean, median, or mode be calculated from all
statistical data? Explain why or why not. When is the mean the best measure of
central tendency? When is the median the best measure of central tendency?

Week 2, DQ 3

Select an article from a news magazine or research
journal where data is displayed in a graph. Describe the data displayed in the
graph and what conclusion you could draw.
Be sure to include a reference to the article that you used.

Week 3, DQ 1

An oil change shop advertised to change oil within 15
minutes. Based on the data collected on a typical day, what is the probability
that oil change will take 15 minutes or less time? Based on the data, do you
think the business claim is valid? Explain why or why not.

Times(minutes):
6, 7.5, 9, 11, 11, 11.5, 12, 12.5, 13, 14, 15, 16, 17, 17, 17.5, 18.5,
20.5, 22, 24, 29

Week 3, DQ 2

What are the characteristics of standard normal
distribution? The HR department of an organization collects data on employees’
age, salary, level of education, gender, and ethnicity. Which data do you think
is more likely to follow normal distribution? Explain why.

Week 3, DQ 3

How would you calculate area between two data values?
How would you calculate area above or below a certain value? How can knowing

Week 4, DQ 1

What is the five-step process for hypothesis testing?
Is the order important? Explain why or why not. Why do alphas differ among
industries? How do ethics affect your chosen level of significance? Can you
reject and accept the null hypothesis at the same time? Explain why or why not.

Week 4, DQ 2

Why does the significance level differ among
industries? Will the null hypothesis be more likely to be rejected at α = 0.01
than α = 0.10? As the significance level increases to α = 0.10 from α = 0.01,
which type error is more likely to occur? What can be done to reduce the
likelihood of incurring this error?

Week 4, DQ 3

Why is the coefficient of correlation an important
tool for statisticians? Provide some specific examples from real life.

Week 5, DQ 1

How would you select appropriate statistical tests for
analysis research data? What aspects of research questions or data types are
relevant considerations in choosing your tests? Why?

Week 5, DQ 2

How do you know you have validated a research study
based on data gathered from primary or secondary sources? Have you been involved
with any product test-marketing project? Explain. How did the resulting
statistics affect the product’s marketing strategy? How can organizations skew
the statistical outcomes of their business research?

Week 5, DQ 3

In what way has the learning from this course helped
you to effectively test hypotheses, draw conclusions, and provide
recommendations to management? Consider what you have achieved in your research
study conducted for this course.