Critical Thinking Exercise using Logical, Statistical, and Mathematical Skills
follow the attached instructions
Download this Word Document, Do the work on scratch paper as necessary, then type in your answers to the questions on the Word worksheet at page 2 [Please do not use your own format].
This exercise asks you to use the logical, statistical and mathematical skills incorporated throughout the course.
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EXERCISE
You own a small business. The table at right shows the gross Income from your business for the first nine months of the year.
These questions will deal with how you would use this information to make a projection for January of the next calendar year.
PLEASE use the Word document at pages 2 and 3.
NOTE: The Roman Numerals in front of each item ties the item to one of the three areas evaluated with the Rubric attached at the end of this document.
MS 207 END-OF-COURSE CRITICAL THINKING EXERCISE
[Complete and attach to an e-mail]
1. Determine if any of the monthly revenue values is a statistical outlier to the data set.
- [III] Select a statistical procedure to determine if the set of gross income figure contains an outlier. What procedure did you select?
- [III] What did you decide about an outlier in the data set?
- [III] If you found an outlier, should that value be included in projection calculations?
- [I] Enter the 5-number summary for the income data set.
Min: _________
Q1: _________
Median: _________
Q3: __________
Max: ________
[I] Is there a Mode in the data set?
[I] Compute the Mean of the income data set.
2. You now have the mean and the 5-number summary.
- [III] If you were to use one of these six statistics [5-number summary and mean] to predict the October gross revenue, which one would you use?
- [II] And why?
3. Now for a prediction about the January gross revenue estimate. Select a mathematical linear model for the data set, based on the 9-month data [suggest you use the past January as month zero].
- [I] Name your variables with their symbols.
- [I] Write your linear equation:
- [I] Predict the revenue in the coming January [month 12 if you made the previous January your month zero in you calculations], using your linear equation.
4. Which of the following Problem-Solving Strategies did you use in this process?
a. [III] Circle or highlight the applicable ones.
b. [II] And explain why and how [write your explanations below each selected strategy{s}.
- Draw a Picture
- Choose names for unknowns
- Use an established system
- Look for patterns
- Simplify the problem
- Start with an estimate
- Relate this problem to earlier problems
- Use the Order Principle
- Analogy Principle
- Three-Way Principle
1. Determine if any of the monthly revenue values is a statistical outlier to the data set.
* [III] Select a statistical procedure to determine if the set of gross income figures contains
an outlier. What procedure did you select?
I selected the IQR method of identifying outliers.
* [III] What did you decide about an outlier in the data set?
The dataset did not contain any outlier
* [III] If you found an outlier, should that value be included in projection calculations?
If I found an outlier, I would only include it in the project calculations after further investigating and ensuring that it is not due to seasonal factors, data entry, or measurement errors.
* [I] Enter the 5-number summary for the income data set.
Min: _____$7,090____
Q1: _____$7,729____
Median: ___$8,510______
Q3: ______$9,270____
Max: ___$9,720_____
* [I] Is there a Mode in the data set?
There is no mode in the dataset
* [I] Compute the Mean of the income data set.
The mean of the income dataset is $8,456.44
2. You now have the mean and the 5-number summary.
* [III] If you were to use one of these six statistics [5-number summary and mean] to predict the October gross revenue, which one would you use?
I would use the mean to predict the October gross revenue.
* [II] And why?
Because it is a measure that represents the entire dataset when there are no outliers or when the data is not skewed
3. Now for a prediction about the January gross revenue estimate. Select a mathematical linear
model for the data set, based on the 9-month data [suggest you use the past January as month
zero].
* [I] Name your variables with their symbols.
Dependent Variable- Gross revenue in $
Independent Variable- Months – starting with month zero as previous January
* [I] Write your linear equation:
y = 203.13x + 7440.8
Where y is the predicted revenue, and x is the month
* [I] Predict the revenue in the coming January [month 12 if you made the previous January your month zero in you calculations], using your linear equation.
Predicted Revenue = 203.13(12) + 7440.8 = 9878.36
Predicted revenue in the coming January is $9,878
Continued next page.
4. Which of the following Problem-Solving Strategies did you use in this process?
a. [III] Circle or highlight the applicable ones.
b. [II] And explain why and how [write your explanations below each selected strategy{s}.
* Draw a Picture
Drawing a picture helps in understanding the problem better. Having a visual representation of a particular problem helps me organize it and make connections that could not have been seen. I drew a picture of the box plot to visually understand the 5-number summary.
* Choose names for unknowns
* Use an established system
* Look for patterns
Looking for patterns helps us to know how things work and how they are connected. Patterns tell us how a group of objects or values acts in the same way. This relationship allows us to solve problems by shortening the number of steps it takes to get to a solution. I used this strategy on the problem of the prediction about the January gross revenue estimate. I constructed a line plot to establish and display patterns over m...
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