PHLT 8032 · Week 9

PHLT 8032 Week 9 results table example

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Raw SPSS output and a publishable table carry the same numbers and almost nothing else in common. The ninth week asks for that gap to be closed, and this finished set rebuilds the county survey results as two APA-style tables, a characteristics table split by insurance status and a table of the comparisons run in earlier weeks, each with its note and its callout in the text.

What this page holds

Rebuilt from SPSS output, two APA-style tables carry this ninth PHLT 8032 submission: respondent characteristics by insurance status, and the earlier comparisons, each numbered, noted and cited in text. Searches like "phlt 8032 week 9 assignment example", "phlt8032 week 9 sample" and "phlt 8032 week 9 example" land here.

What a finished PHLT 8032 Week 9 results table looks like

Two tables with about a page of surrounding prose. Table 1 lists respondent characteristics in rows, age group, sex, district, smoking status and income bracket, with columns for insured and uninsured respondents and the total, giving counts and valid percentages for categories and a median with interquartile range for weekly activity minutes. Table 2 gathers the comparisons from earlier weeks, the Mann-Whitney result and the income-health association, one row each, with the test, statistic, exact p-value and effect size. Both follow APA conventions: a bold table number, an italic title in title case, horizontal rules only, italic statistical symbols and a general note beneath. The notes state that figures are unweighted, how missing values were handled, and what abbreviations mean. The prose introduces each table by number and discusses only what matters.

How a PHLT 8032 Week 9 example is structured

The tables are designed from the reader's question backward. Table 1 answers who the respondents were and whether insured and uninsured groups differ in composition, so its columns are the groups and its rows the characteristics, the orientation a reader scans most easily. Table 2 answers what the analyses found, with one row per analysis and columns in the order a result is reported. The prose around them is spare: an in-text callout for each table, one or two sentences highlighting what matters, and no repetition of every value, since APA guidance warns against restating a table in full. A mapping appendix links each cell back to the output it came from, by table and row, so a reviewer can verify the rebuild. One more paragraph accounts for what was stripped from the raw output and why.

Groups across, characteristics down

Insured and uninsured respondents form the columns, with a total column last. Rows group characteristics under headings, so a reader comparing the two groups reads across a single line rather than between separate outputs.

One summary per variable type

Categories get counts and valid percentages; activity minutes get a median and interquartile range because of the skew documented earlier. The note states which summary applies where, so no reader mistakes a median for a mean.

A note that does work

The general note says the figures are unweighted, that percentages exclude missing responses, and how many respondents lacked income data. A table without it would invite readers to treat respondent shares as county estimates.

Callouts that do not repeat

The text cites each table by number and draws out one or two findings. It does not walk through every cell, since a table plus a paragraph restating it would make the reader process the same numbers twice.

A map back to the output

An appendix lists each value's source: which SPSS table, which row, which column. The mapping lets a reviewer confirm nothing was transposed during the rebuild, the error a copied table most often hides.

Where marks go in PHLT 8032 Week 9

Formatting precision takes a larger share here than in any other week, and small departures add up quickly. A table pasted from the output viewer with its default title and gridlines reads as unconverted, however correct its numbers. Accuracy of transfer is the next check, since a value moved into the wrong column is worse than a formatting lapse; graders compare cells to the appendix map when one exists. Table design earns credit for orientation and grouping that fit the comparison. The note is expected, and omitting how missing data were handled is flagged by most graders. In-text callouts are checked for presence and restraint: prose that restates every cell is marked as redundant. Italic symbols, exact p-values and consistent decimals close out the criteria.

Get a PHLT 8032 Week 9 example written to your instructions

Upload the Week 9 prompt and rubric and the output tables your section wants converted. Two APA-style tables with notes, callouts and a map back to the source cells follow in 24-48h, and the first carries no fee. Cell values are illustrative; your own tables hold what your output printed.

PHLT 8032 Week 9 questions, answered

Can the SPSS table be pasted and then reformatted?

It can be a starting point, but the result usually needs rebuilding in the word processor to meet APA style. Output viewer tables carry default titles, extra columns and formatting that survive copying, and many authors find retyping faster than stripping. Whichever route you take, the finished table should look designed for its reader, not exported from the software.

Should Table 1 include a test comparing the groups?

Some sections want a column of p-values comparing insured and uninsured respondents on each characteristic; others discourage it, since a characteristics table describes rather than tests, and STROBE guidance for observational reports leans toward description there. Your prompt decides. If a test column is included, the note should name the test used for each kind of row so a reader can interpret it.

How many tables should the results section have?

As many as the findings need and no more, and your prompt may set a number. Two is common for this week, one describing the sample and one presenting results. A separate table for every procedure tends to fragment the story, while a single crowded table becomes hard to read. The test is whether each table answers one question a reader would ask.