Three suppliers, one business file, and a comparison built on spread rather than averages: the GB513 Unit 2 data summary analysis here ends with a supplier recommendation. Searches like "gb 513 unit 2 assignment example", "gb513 unit 2 sample" and "gb513 unit 2 example" land here.
What a finished GB513 Unit 2 data summary analysis looks like
Built as a short report of four or five pages, the analysis starts from the purchasing question: which supplier should hold a sole-source contract for a part that stops the assembly line when late. A comparison table follows, one column per supplier, showing mean, median, standard deviation, range and coefficient of variation for thirty deliveries each. Side-by-side box plots sit under the table, making it plain that one supplier's spread is roughly twice the others'. A paragraph applies the empirical rule to translate standard deviation into days of risk. One late delivery is expressed as a z-score to show how unusual it was. A recommendation and a note on safety stock end the report, with the purchasing manager named as its reader.
How a GB513 Unit 2 example is structured
Comparison drives every section. The question is stated in operational terms, lost production hours, so that variation has a cost a reader can feel. Measures of center come first in the table only because readers expect them; the paragraph beneath immediately says they fail to separate the suppliers. Spread then carries the analysis. Standard deviation is reported in days, and the coefficient of variation puts the three on one scale even though their average lead times differ slightly. The empirical rule turns each supplier's figures into a range of likely delivery days, which a planner can use. The z-score paragraph examines the worst delivery and asks whether it was a fluke or characteristic. The recommendation weighs consistency over average speed and states the assumption behind that judgment: late parts cost more than early ones.
An operational question
The opening names the part, the cost of a line stoppage per hour, and the contract decision. Stating the stakes in production terms explains why a one-day difference in spread matters more than a half-day difference in average.
One table, three columns
Each supplier gets a column and each measure a row, with units in every row label. The coefficient of variation row is shaded, since it is the figure the recommendation cites.
Box plots on a shared axis
Plotted together, the three boxes make the difference visible before any paragraph explains it. Whiskers and one outlier point are labeled rather than left for the reader to decode.
The empirical rule, applied
About 95 percent of deliveries fall within two standard deviations of the mean if the data are roughly bell-shaped, a condition the paper checks against the box plots first. For the most variable supplier that range spans nine days; for the steadiest, four.
A recommendation with its assumption
The steadiest supplier keeps the contract. The final sentence names what would reverse that call, for example a price gap large enough to fund extra safety stock.
Where marks go in GB513 Unit 2
Graders on this analysis typically reward the comparison and penalize parallel description: three separate summaries, one per supplier, that never set a figure beside another. Treating the lowest mean as the automatic winner is the most frequent reasoning error, since prompts are often built so that averages tie. Coefficient of variation computed but not explained earns partial credit at best. Empirical rule claims made on visibly skewed data lose points unless the shape is checked and the limitation stated. Mechanical slips matter too: population and sample standard deviation mixed across columns, or units missing from the table. A recommendation that ignores cost or risk entirely is marked thin, while one that names its assumption and a reversal condition tends to reach the upper band.
Get a GB513 Unit 2 example written to your instructions
Upload the business file GB513 gave you for Unit 2, with its instructions and rubric. Within 24 to 48 hours a custom summary analysis comes back, organized around the comparison your data supports. Your first request is free, and it keeps the tables-then-meaning layout shown here while using your own groups, measures and scenario.
GB513 Unit 2 questions, answered
Should I use the sample or population standard deviation for this analysis?
Almost always the sample version, STDEV.S in Excel, because thirty deliveries or a quarter of sales are a sample from a larger process. The sample says so in a table note. Mixing the two across columns is a common slip, and while the numbers differ only slightly, a grader checking the workbook will usually spot the inconsistency.
What is the coefficient of variation adding that standard deviation does not?
It expresses spread relative to the mean, which lets you compare groups whose averages differ. A standard deviation of three days means more against a five-day average than against a twenty-day one. In a GB513 comparison the coefficient is often the single figure that makes the ranking defensible, so the example explains it in a sentence rather than just reporting it.
Can the recommendation disagree with the numbers?
It can weigh them against something the data leave out, as long as it says so. A strong paper might keep the more variable supplier because of a large price advantage, but it quantifies what that choice risks in days and suggests a buffer. What graders mark down is a recommendation that contradicts the analysis without any explanation.