# QNT 351 All Weeks DQs

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**QNT351 Entire Course Link**

**https://uopcourses.com/category/qnt-351/**

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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

posting your response:

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

these areas help you?

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.

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