In sentences, not only tables, this Week 2 write-up describes one distribution's center, spread and shape, with each flagged value traced to a cause and handled in the open. Searches like "ddba 8307b week 2 assignment example", "ddba8307b week 2 sample" and "ddba 8307b week 2 example" land here.
What a finished DDBA 8307B Week 2 distribution write-up looks like
Two to three pages of prose built on three exhibits from SPSS: the descriptive statistics table, a histogram and a boxplot. Shape comes first: payment times pile up in the first month, a spike sits at zero for accounts paying on delivery, and a thin tail stretches past several months. Center follows, the median preferred over the mean because the tail drags the average upward. Spread is described by the interquartile range. The odd-values section takes each flagged case from the boxplot in turn. A handful of negative payment times trace to invoices keyed after the payment arrived, and are corrected with a note. The long tail traces to disputed accounts on payment plans, and stays. Tukey's exploratory tradition frames the approach: look first, then summarize.
How a DDBA 8307B Week 2 example is structured
Shape comes first, then center, then spread, then the unusual values, and finally what the distribution means for someone managing receivables. That order follows the logic of description: which summary is honest depends on shape, and which values are unusual depends on center and spread. Each exhibit is introduced by the sentence that interprets it, never pasted without a line beneath. The odd-values section is organized case by case, with a cause, a decision, and the effect of that decision on the summary figures, so a reader can see how much each choice mattered. A comparison paragraph shows the median and mean with and without the corrections. The closing paragraph restates the distribution in two or three plain sentences, then adds one saying what the figures do not explain, which is why the slow accounts are slow.
Shape before summary
The prose begins with what the histogram shows: a spike at zero, a heap in the first month, a long thin tail. Choosing a summary figure before describing the shape risks reporting a mean that describes almost no actual invoice.
The median, with its reason
The median leads as the typical figure, and a single sentence explains why: the tail of disputed accounts pulls the mean well above what most customers experience. The mean still appears, labeled for what it is.
Each flagged case explained
Every value the boxplot flags receives a cause. Negative days are keying errors and are corrected; very long waits are real disputes and remain. Each decision is recorded with its effect on the summaries.
Deletion argued against
A common shortcut drops anything beyond three standard deviations. The write-up explains why that rule fails here, where skew is genuine and the extreme values are the accounts a credit manager most needs to see.
What the figures leave open
The last sentence names the question the distribution cannot answer: whether slow payers are slow because of disputes, terms, or their own cash flow. Description sets that question up; it does not settle it.
Where marks go in DDBA 8307B Week 2
Graders reward prose that a reader could picture without the chart. A write-up restating the output line by line, mean, standard deviation, skewness, kurtosis, has reported numbers without describing anything, and it lands in the lower bands. The shape paragraph and the choice of center carry the analytic weight, since picking the median for skewed data with a stated reason shows the author reading the distribution rather than the table. Handling of unusual values is marked most closely. Deleting flagged cases without investigation is the fault this week exists to catch, while tracing each to a cause, and keeping real extremes, earns the upper band. Exhibits are checked for an interpretive sentence beneath each. The plain closing paragraph earns its own share, and so does the sentence stating what the distribution cannot explain.
Get a DDBA 8307B Week 2 example written to your instructions
Share the Week 2 prompt and rubric and name the variable your section assigned. A distribution write-up covering shape, center, spread and flagged cases comes back in 24-48h, free as a first sample. Its exhibits are described for a stand-in variable rather than taken from anything of yours, which leaves every number you report to your own run.
DDBA 8307B Week 2 questions, answered
Should outliers be removed before reporting a distribution?
Not by default. An outlier is a value that needs an explanation, and the explanation decides what happens to it. Entry errors can be corrected or excluded with a note; genuine extremes usually stay, because they are part of what the variable measures. The write-up reports how each decision changed the summary figures, so a reader can judge whether the handling mattered.
Is the median always better than the mean for skewed data?
Better as a description of the typical case, usually. The mean still matters when totals do, since a receivables manager budgets from the sum of all balances, tail included. Many strong write-ups report both and say which question each answers. What loses credit is reporting only the mean for a heavily skewed variable without a word of comment.
How much should the write-up say about normality tests?
Briefly, if at all, in this week. Normality matters when a later procedure assumes it, and the Week 4 assumption check handles that directly. Here a sentence noting that the distribution is clearly skewed, as the histogram shows, is enough. Reporting a Shapiro-Wilk result without connecting it to any decision adds a number and no understanding.