In the PU525 Unit 4 worksheet example, four population hypotheses about vaccination, blood pressure and hospital stays are each matched to a test through measurement level and group structure. Searches like "pu 525 unit 4 assignment example", "pu525 unit 4 sample" and "pu525 unit 4 example" land here.
What a finished PU525 Unit 4 hypothesis test worksheet looks like
The worksheet is laid out as four boxed items with identical subheadings. Item 1 asks whether adult flu vaccination coverage falls short of a 70 percent target, using 372 vaccinated among 600 surveyed; a one-sample test of a proportion gives z of about negative 4.3. Item 2 asks whether coverage differs by insurance status, a chi-square test of independence on a two-by-three table. Item 3 compares systolic blood pressure before and after a composite worksite program in the same 48 employees, a paired t test. Item 4 compares hospital stays after a fall between two groups whose lengths are heavily skewed, so a Mann-Whitney test replaces the t test. A decision chart on the final page traces the path from outcome type and group structure to each choice, with the four items marked on it.
How a PU525 Unit 4 example is structured
Selection is the skill being assessed, so it precedes calculation in every item. Each box opens with the research question, then the null and alternative hypotheses written about the population in both words and symbols. Measurement level follows, then group structure, independent or paired, and only then the test. Assumptions are checked under a separate subheading before results appear: the proportion item checks that its expected counts under the null, 420 and 180, support a normal approximation, the chi-square item checks expected cell counts, the paired item examines the distribution of differences, and the skewed item explains why normality fails. Results report the statistic, degrees of freedom where relevant, the p value and the decision at 0.05. The last line of each box restates the result as a sentence about county adults. A decision chart closes the worksheet.
Hypotheses about the population
Every null and alternative names the county's adults, not the sample. Item 1, for example, states that the population proportion vaccinated equals 0.70 against the alternative that it is lower.
Measurement level identified
Vaccinated or not, and privately insured, publicly insured or uninsured, are categories; blood pressure is continuous; length of stay is continuous but skewed. Each item labels its outcome before any test is mentioned.
Paired or independent
Item 3 measures the same employees twice, so their differences are analyzed. The worksheet notes that treating the two readings as separate groups would ignore the pairing and waste information.
When the t test does not fit
Hospital stays after falls cluster at two or three days with a long tail. With small groups, the worksheet uses a rank-based test and explains that it compares distributions rather than means.
One decision chart
Outcome type across the top, group structure down the side, and a test in each cell. The four items appear as marked cells so a reader can trace every choice back to its reasons.
Where marks go in PU525 Unit 4
Hypothesis worksheets in PU525 are usually marked on hypothesis statements, test selection with justification, correct execution, and interpretation. The hypothesis row is lost more often than writers expect, usually because the null is written about a sample mean or a sample percentage. Selection marks require the reason, not just the name: a worksheet that names chi-square without mentioning two categorical variables rarely collects the full row. Execution marks depend on checked assumptions and correctly reported statistics. Interpretation marks go to the final sentence in each box, which says what the result means for county adults instead of stating that the null was rejected. Deductions commonly follow one-tailed tests chosen after seeing the data, paired data analyzed as independent, p values reported as zero, and a decision stated as proving the null true.
Get a PU525 Unit 4 example written to your instructions
Paste your PU525 Unit 4 worksheet items, with any data supplied and the rubric that goes with them. The desk matches each question to its test through measurement level and group structure. That first custom sample costs nothing, and within 24-48 hours it arrives with hypotheses stated about the population and every assumption checked in writing.
PU525 Unit 4 questions, answered
How does the worksheet decide between a parametric and a nonparametric test?
By the outcome's measurement level, its distribution and the sample size. Continuous, roughly symmetric outcomes suit t tests, and larger samples tolerate some skew. Heavily skewed data in small groups, or ordinal outcomes, point to rank-based tests. The example explains the choice in each item, so the decision reads as reasoning rather than preference, and a grader can follow it.
Why does the example avoid saying the null hypothesis was accepted?
Because failing to reject a null does not show it is true, only that the data were not strong enough to rule it out at the chosen level. The fourth item, the skewed hospital stays, does not reach significance, and the example says fail to reject there and then describes the difference actually observed. Graders in many sections deduct for wording that treats the null as proven.
Does the worksheet need to show calculations by hand?
Some sections want the test statistic worked out for at least one item; others are satisfied by labeled output from SPSS, R or Excel, provided the inputs are visible. The example calculates Item 1 by hand, since a one-sample proportion test is short, and reports the remaining items from software with labeled output. A prompt that asks for every calculation by hand would get them in a custom sample.