GB513 Unit 1 Descriptive Statistics Exercise Example

Reviewed by Chester Goodwin, MBA Business Analytics Purdue University Global Free custom sample in 24 to 48h

This GB513 Unit 1 descriptive statistics exercise summarizes 200 invoices from a composite restaurant supply distributor to set a free-delivery threshold. Purdue Global GB 513, Business Analytics, starts the MBA analytics sequence with description before inference. The Excel summary gives a mean of $311.29 against a median of $219.66 and a standard deviation of $316.17, quartiles at $150.54 and $347.40, and a histogram and box plot that expose six bulk orders from two hotel accounts. Each exhibit gets a paragraph beneath it, delivery cost of about $38 a stop is tied to the quartiles, and the recommendation sets free delivery at $200 because the median, not the mean, describes a typical order.

CourseGB513 Business Analytics
UnitUnit 1
Paper typeDescriptive statistics exercise
LengthAbout 860 words, 6 pages double-spaced
FormatAPA 7 student paper
SchoolPurdue University Global
ProgramMBA
UpdatedOctober 2026

Free sample paper for GB513 Unit 1

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Where Free Delivery Should Start: A Unit 1 Descriptive Statistics Exercise on 200 Invoices

[Student Name]

Purdue University Global

GB513: Business Analytics

Unit 1 Descriptive Statistics Exercise

[Instructor Name]

[Date]

The restaurant supply distributor, its invoices and every figure are composite and illustrative; the methods cited are real.

What this part is doingSetting the mean beside the median in the lead shows the exercise will choose its statistic for a reason.
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The Question and the Data

Harbor Street Restaurant Supply delivers kitchen supplies, paper goods and dry food to restaurants, cafes and hotels. It now delivers every order free, at an average cost to the company of about $38 per delivery. Management wants to set a minimum order for free delivery and charge a fee below it. The file holds 200 invoices from the last quarter, one row per order, with the order value in dollars.

Summary Statistics

The Descriptive Statistics tool in Excel's Analysis ToolPak produced the summary below, trimmed to the measures a manager reads. David Levine, David Stephan and Kathryn Szabat recommend reporting the median and quartiles alongside the mean whenever a business data set may be skewed (Levine et al., 2021).

What this part is doingTrimming the tool's output to a manager's measures shows the summary is written for a reader, not copied from software.
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Count: 200 orders.

Mean: $311.29.

Median: $219.66.

Standard deviation: $316.17.

Minimum: $46.59. Maximum: $2,265.00.

First quartile: $150.54. Third quartile: $347.40.

The mean sits about $92 above the median, and the spread, measured by standard deviation, even exceeds the mean itself. Both point to a distribution stretched to the right by a few very large orders.

Histogram

A histogram with equal $100 bins, titled "Most orders fall between $100 and $400," shows a tall cluster from $100 to $400 and a long thin tail to the right. Only a handful of orders exceed $1,000. David Anderson and colleagues note that when a distribution is skewed, the median describes a typical value better than the mean (Anderson et al., 2020). Here, the typical order is close to $220, not $311.

Box Plot

A box plot, titled "Six hotel orders sit far beyond the rest," places the box from $150.54 to $347.40 with the median line at $219.66. John Tukey's box plot convention flags any point beyond 1.5 times the interquartile range past the third quartile (Tukey, 1977). The interquartile range is $196.86, so the upper fence is $642.70, and 15 orders lie above it. Six of those, between $1,480 and $2,265, came from two hotel accounts placing quarterly bulk orders. Without those six, the mean falls to $264.15, much closer to the median.

The mean is pulled up by two hotel accounts, so a threshold set at the mean would describe almost nobody's order.

What this part is doingThe highlighted sentence explains why the recommendation rests on the median rather than the mean.
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Interpretation

For a delivery threshold, the question is what share of customers would clear it. About 43.5 percent of orders are $250 or more, and about 31 percent are $300 or more. A threshold at the mean of $311 would charge a fee on roughly 70 percent of orders, which would likely upset the small restaurants that make up most of the customer base. A threshold near the median would charge about half.

What the Spread Means for Delivery Cost

Delivery cost does not depend much on order value. A $60 order and a $600 order take the same truck stop, about $38 of driver time, fuel and vehicle cost. That means small orders are expensive to serve relative to what they bring in. The bottom quartile, the 50 orders below $150.54, carries a delivery cost equal to at least a quarter of each order's value, and for the smallest orders more than half. The third quartile, $347.40, shows that a quarter of customers place orders large enough that delivery cost is about a tenth of the order or less. The spread between those quartiles, not the average, is what the fee needs to address.

Checking the Result Without the Hotel Orders

Because the two hotel accounts behave differently from restaurants, the summary was rerun without their six orders. The median barely moves, falling by only a few dollars, because the median depends on the middle of the distribution rather than its tail. The mean falls by about $47. That confirms the median is the stable figure to build a policy on, while the mean would shift every time a large account placed a bulk order.

Limits

One quarter of invoices may not represent the year, since restaurants order differently in summer and during holidays. The analysis also treats each invoice as a separate customer, although some restaurants order several times a week. A follow-up should group invoices by customer to see how many accounts the fee would actually affect.

Recommendation

Harbor Street should set free delivery at $200, just below the median of $219.66, and charge a $15 fee on smaller orders. About 59 percent of orders are already $200 or more and would see no change. The fee would apply mainly to the bottom quartile, orders under about $150, which cost the most to deliver relative to their value. Customers just below $200 would have a reason to add an item. The recommendation rests on the median and the first quartile, which describe typical orders better than the mean in this skewed distribution. Management should review the threshold after one quarter, comparing the new median order with this one.

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References

Anderson, D. R., Sweeney, D. J., Williams, T. A., Camm, J. D., & Cochran, J. J. (2020). Statistics for business and economics (14th ed.). Cengage.

Levine, D. M., Stephan, D. F., & Szabat, K. A. (2021). Statistics for managers using Microsoft Excel (9th ed.). Pearson.

Tukey, J. W. (1977). Exploratory data analysis. Addison-Wesley.

The Purdue Global GB513 Unit 1 instructions

The first GB513 exercise asks you to describe a data set before drawing any conclusions from it. Restate the business question and describe the file: how many records, what period and what variable. Produce summary statistics in Excel and trim them to the measures a manager reads, usually count, mean, median, standard deviation, minimum, maximum and quartiles. Add a histogram with equal bins and a title that states the finding, and a box plot that shows outliers. Write a paragraph of interpretation under each exhibit. Decide which statistic best describes a typical value and say why. Check whether unusual records change the picture. Close with a recommendation that names the statistic it rests on. Most sections expect three or four APA-formatted pages and the workbook itself, with statistics texts cited in APA 7.

How the GB 513 Unit 1 example is put together

The exercise describes Harbor Street Restaurant Supply's free delivery policy and its 200 invoices. A trimmed summary lists count, mean, median, standard deviation, range and quartiles, citing Levine, Stephan and Szabat on reporting medians for skewed data. A histogram titled Most orders fall between $100 and $400 is read with Anderson and colleagues on the median. A box plot using Tukey's rule shows an upper fence of $642.70, 15 orders above it and six hotel orders from $1,480 to $2,265, and the highlighted sentence explains why the mean misleads. Interpretation gives shares above $250 and $300. Sections connect the $38 delivery cost to the quartiles and rerun the summary without hotels. Limits note one quarter and invoice-level data. The recommendation sets free delivery at $200 with a $15 fee below it.

Where the points sit in the GB513 Unit 1 rubric

GB513 instructors look for statistics chosen and interpreted for a business question, not pasted from software. Trimming the summary table to the measures that matter is rewarded. Each chart should have labeled axes and a title that states a finding. Interpretation beneath each exhibit, rather than at the end, shows the writer reading the output. Recognizing skew and choosing the median over the mean, with a reason, carries significant weight. Checking whether outliers change the conclusion shows care. A recommendation tied to a named statistic completes the exercise. Sources are cited in APA 7: an introductory statistics text for the median, an Excel statistics text for summary output and Tukey's exploratory analysis for the box plot rule.

GB513 Unit 1 help: mistakes that cost points

Many GB513 Unit 1 exercises paste the full ToolPak output and describe every number without saying which one matters. Others report the mean for skewed data, which can describe almost no actual record. A common gap is interpretation: charts without a paragraph explaining what they show leave the grader guessing. Some writers delete outliers without explanation. Restate the question, trim the summary, chart with finding titles, interpret under each exhibit, choose the statistic that fits the distribution, check outliers openly and recommend a decision that names its statistic.

Get a GB513 Unit 1 example written to your instructions

Attach the Unit 1 dataset from your GB513 classroom with the prompt and rubric. A custom descriptive statistics exercise is then built on that file within 24 to 48 hours, and a first request is free. If a specific chart or measure is named in the instructions, the sample uses it, and your prompt's business question replaces the delivery example here. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.

More GB513 papers and MBA samples

GB513 Unit 1 questions, answered

Should the descriptive statistics exercise include the Excel file or only the paper?

Usually both, since many GB513 sections ask for the workbook so the instructor can check formulas or the ToolPak output. A well-built workbook keeps raw data on one tab, calculations on another, and the charts that appear in the paper on a third. The written paper stays self-contained, so a reader never needs the workbook to follow the argument.

What if my dataset has no obvious business decision attached?

Most Unit 1 files come with a scenario even when the prompt is brief, such as sales, wait times or survey scores. If yours genuinely has none, a finished example states a plausible decision the data could inform and keeps it modest. Interpretation without any decision is where papers in this course usually lose ground, so an implied question beats none at all.

How many decimal places belong in the summary table?

Enough to be useful and no more. Dollar figures usually carry two decimals or are rounded to whole dollars, and counts carry none. What matters most is consistency within a column. A table showing a mean of 640.2837 beside a median of 512 looks like pasted output rather than a prepared exhibit, and graders in GB513 notice the difference.

Where can I find a free GB513 Unit 1 sample paper?

This page carries a full GB513 Unit 1 descriptive statistics exercise on 200 restaurant supply invoices, with summary statistics, a histogram, a box plot, a delivery threshold recommendation and APA 7 references.

Why set the threshold near the median rather than the mean?

Six hotel bulk orders pull the mean up to about $311, while the median is about $220. A threshold at the mean would charge a fee on roughly 70 percent of orders, while one near the median affects a smaller share of mostly small orders.