For a public audience, the PU525 Unit 10 biostatistics report example carries one well-water analysis from question to plain-language finding, with the statistics behind it kept in a technical appendix. Searches like "pu 525 unit 10 assignment example", "pu525 unit 10 sample" and "pu525 unit 10 example" land here.
What a finished PU525 Unit 10 biostatistics report looks like
The report runs about seven pages, opening with a one-page plain-language summary. About 1 in 9 tested wells exceeded the nitrate standard of 10 milligrams per liter. Wells within 400 meters of row-crop fields exceeded it about 17 times in 100, compared with about 7 in 100 farther away. The body then sets out what the county asked, where the data came from, what it found and how certain the finding is. A bar chart shows exceedance by distance group with interval bars. One table reports counts, percentages and the risk ratio of 2.5, with a 95 percent interval of 1.8 to 3.5. A section titled What this does not tell us addresses who chose to test. A technical appendix holds the chi-square result and an adjusted logistic model including well depth.
How a PU525 Unit 10 example is structured
The report is written twice, once for residents and then for analysts. The summary leads with frequencies instead of percentages because households grasp 17 in 100 more readily than a ratio. The body follows a question, data, findings, certainty sequence so that a reader who stops at any heading has a complete idea. The data section comes before findings and is candid: testing was voluntary, and households worried about their water may have tested more often, which could raise the overall exceedance figure without necessarily distorting the comparison by distance. Certainty is expressed through the interval, explained as the range of differences consistent with the data. The limitations section follows the findings directly instead of hiding at the end. Technical detail sits in the appendix, complete enough for an analyst to reproduce every number from the counts given.
Summary in frequencies
Four paragraphs on one page, with no statistical terms. Findings are stated as counts out of 100 wells, and the summary ends by describing where residents can find more information about testing.
Where the water samples came from
Three years of free testing events, one sample per well, analyzed by a certified laboratory. The section states plainly that the wells tested are not a random sample of all wells in the county.
Near fields and farther away
The bar chart and table comparing 88 of 520 wells near row crops with 49 of 720 farther away. The risk ratio is explained as 2.5 times the share, not 2.5 percent more.
How sure the county can be
The interval from 1.8 to 3.5 is described as the range of plausible differences. Because the whole range sits above one, the report says the higher rate near fields is unlikely to be chance.
What this does not tell us
Voluntary testing, one sample per well, and no information on household water treatment. The report states that distance is associated with exceedance but that the analysis cannot identify a specific source.
Technical appendix
Chi-square statistic, the risk ratio's standard error on the log scale, and a logistic model adding well depth, which narrows the distance odds ratio but leaves it clearly above one.
Where marks go in PU525 Unit 10
Final reports in PU525 are usually graded on the analysis itself, the accuracy of results, the quality of communication for the stated audience, and the handling of limitations. Communication carries unusual weight here because the audience is named: a report for residents that opens with a chi-square statistic has missed the brief however correct the statistic is. The example earns analysis marks with a test matched to two categorical variables and an adjusted model in the appendix. Results marks depend on counts, percentages and intervals that agree across the summary, the table and the appendix. Limitation marks go to the voluntary testing problem, stated with its likely direction. Deductions commonly follow causal language about farms, percentages without counts, intervals omitted from the public summary without explanation, and appendices too thin for anyone to check the numbers.
Get a PU525 Unit 10 example written to your instructions
Share your PU525 Unit 10 dataset or analysis, the audience your final report addresses, and the project directions with their rubric. Within 24-48 hours the desk sends a first custom sample, free, that carries one analysis from question to plain-language finding and keeps the technical detail where an analyst can check it.
PU525 Unit 10 questions, answered
How technical should a report for the public be?
The main body should need no statistics training, and the appendix should need no guesswork. The example states findings as frequencies, explains uncertainty as a plausible range, and moves test statistics, standard errors and model output to the back. Many sections grade both halves, so dropping the technical material entirely is as costly as leaving it in the summary.
Why describe the risk ratio as a share instead of a percentage increase?
Because public readers often misread relative figures. Saying that wells near fields exceeded the standard about 17 times in 100, compared with about 7 in 100 elsewhere, conveys the same information as a risk ratio of 2.5 without inviting the reading that the risk rose by 2.5 percent. The appendix reports the ratio and its interval for technical readers.
Does the report need an adjusted model?
Not always, but it strengthens the finding when an obvious alternative explanation exists. Shallow wells are more vulnerable to contamination and may cluster near fields, so the example adds well depth in the appendix model. The distance association narrows but remains, and the public summary mentions this in a single sentence without the model output.