HI560 · Unit 3

HI560 Unit 3 descriptive statistics report example

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Median maternal age is 30 at Kestwick North and 27 at South, and North's body mass index distribution sits further right. Before any test is run, this HI560 Unit 3 descriptive statistics report summarizes the 2,248 NTSV births and the full delivery file variable by variable, so later comparisons start from the shape of each measure rather than from an average.

What this page holds

Kestwick's two hospitals are described side by side, age, weight, gestational age, labor length and delivery mode, in an HI560 Unit 3 report that deliberately runs no test. Searches like "hi 560 unit 3 assignment example", "hi560 unit 3 sample" and "hi560 unit 3 example" land here.

What a finished HI560 Unit 3 descriptive statistics report looks like

Six pages built on three tables and four figures. Table one describes the NTSV group at each hospital: maternal age with median and interquartile range, 30 (26 to 34) at North against 27 (23 to 31) at South; pre-pregnancy body mass index, median 27.9 against 26.6, both right-skewed; gestational age, median 39.4 weeks with a short left tail; induction at 43.8 and 28.6 percent. Table two covers first-stage labor duration for births that reached active labor, median 8.7 hours with a long right tail. Histograms show age and body mass index by hospital on shared axes, and a box plot shows labor duration. Table three gives delivery mode as counts and percentages for the full file and the NTSV subset, keeping repeat cesareans visible in the first.

How a HI560 Unit 3 example is structured

The report follows one rule: describe each variable in the form its shape demands. Continuous measures get a center, a spread and a picture; categorical ones get counts and percentages. Age is roughly symmetric, so mean and standard deviation appear beside the median. Body mass index and labor duration are skewed, so medians and quartiles lead, with a sentence on why a mean would mislead. Every table is split by hospital but carries no p-values, since this unit summarizes and the next ones compare. Missing values are reported in each table's final row rather than dropped. A short section notes three distributions that differ between hospitals enough to matter later: age, body mass index and induction. Its last paragraph lists what the comparison units must account for, drawn directly from those three.

The NTSV group, then the whole file

Figures for the 2,248 NTSV births come first because the later comparison uses them; the full 6,412-row file follows so repeat cesareans and multiple births stay visible to the reader.

Age, near symmetric

Mean and median sit within half a year of each other at each hospital, so both appear, along with the share aged 35 or older: 23.9 percent at North and 12.7 at South.

Weight with a long right tail

Body mass index before pregnancy appears as median and quartiles, with the 11.9 percent missing at South shown as its own row rather than quietly removed from the denominator.

Labor length in hours

First-stage duration for births reaching active labor, summarized by median and interquartile range; the box plot marks 41 labors past 24 hours without calling any of them errors.

Carried into the comparison units

Older mothers, higher body mass index and more inductions at North are listed as the variables every later comparison must address before crediting either hospital's practice.

Where marks go in HI560 Unit 3

Tables of means with no attention to shape are the pattern HI560 instructors mark down most readily at this stage. Labor duration and body mass index are skewed, and a rubric for descriptive work commonly expects medians, quartiles and a figure that shows the tail. Units and definitions carry credit: hours measured from which event, weight taken at which visit. Reporting p-values here tends to cost rather than earn, since the task is summary and a test invites conclusions the data are not yet ready to support. Missing values dropped from denominators without comment draw criticism, particularly when one hospital has more of them. What lifts a report is the closing paragraph that names which distributions differ and says why that matters for the comparison still to come.

Get a HI560 Unit 3 example written to your instructions

Which variables does your Unit 3 prompt name, and does it supply a file? Send both with the rubric. A free first report follows within 24-48h, each variable summarized in the form its shape calls for, the tables split by whatever groups your assignment compares, and missing values shown rather than dropped.

HI560 Unit 3 questions, answered

Should descriptive statistics be split by group before testing?

Usually yes, if a later unit compares those groups, because a reader needs to see how the groups differ in who they contain. Keep the split descriptive: counts, centers, spreads and figures, with no tests. The example shows each hospital side by side and names the differences that later units will have to adjust for.

Mean or median for labor duration?

Median, with quartiles, because labor duration has a long right tail and a few very long labors pull the mean upward. Report the mean as well where the assignment requests it, but lead with the median and say why. The same reasoning applies to length of stay, costs and wait times anywhere in health data.

How should missing values appear in a descriptive table?

As their own row, with a count and a percentage, for every variable and every group. That lets a reader see whether gaps are concentrated somewhere. Percentages for the other categories can then be computed with or without the missing rows, and the table should say which denominator it used so nobody has to guess.