Six reported numbers from one composite ICU trial, relative risk to sleep-score gap, are interpreted in NU504's Unit 4 exercise for what each will and will not support. Searches like "nu 504 unit 4 assignment example", "nu504 unit 4 sample" and "nu504 unit 4 example" land here.
What a finished NU504 Unit 4 statistics interpretation exercise looks like
Six short answers of [150] to [250] words each, one per reported result, with the working shown beneath each figure. Item one reads the relative risk of 0.66, 95% CI 0.43 to 1.01, as roughly a one-third reduction whose interval runs from a large benefit to essentially none. Item two converts the same data to an absolute difference of 11.3 percentage points, CI -0.1 to 22.7, and a number needed to treat of 9. Item three explains why the odds ratio, 0.57, looks stronger than the relative risk when a third of controls develop the outcome. Item four takes the sleep-score gap of 6.3 points on a 0 to 100 scale. Item five weighs p = 0.054 against the interval, and item six rewrites the abstract's conclusion.
How a NU504 Unit 4 example is structured
Each item follows the same three moves: state what the number is, say what it rests on, then say what it will and will not support. The relative risk and the absolute difference are paired, since a relative reduction of a third sounds larger than eleven fewer cases per hundred, and a unit deciding on staff time needs the second. The number needed to treat is reported with its interval inverted, running from about 5 patients per case prevented through no effect to harm at the far end, and the exercise explains why. Item three shows the odds ratio drifting from the relative risk because the outcome is common. The sleep item separates statistical significance from importance, noting a standardized difference of 0.32 and that a fifth of each arm had no night-three score. Item six keeps every number and drops the word trend.
Relative before absolute
A risk ratio of 0.66 is read beside eleven fewer cases per hundred, because the second is what a unit budgeting staff time can use.
Nine to treat, with bounds
Nine patients wearing the aids for each case of delirium avoided, with bounds running from about 5 through no effect to harm, computed from the absolute difference.
Why the odds ratio looks stronger
With a third of controls affected, odds exaggerate the relative change, so 0.57 overstates what 0.66 describes more plainly.
Sleep scores, significant and small
A 6.3-point gain on a 100-point scale clears the 0.05 threshold but carries a standardized difference near 0.3, with one fifth of scores missing.
p = 0.054 is not a verdict
The item argues that a p just above 0.05 and an interval reaching 1.01 describe an uncertain benefit, not a proven absence of one.
The abstract, rewritten
The authors' phrase trend toward less delirium is replaced with the estimate, its interval and a sentence on what a larger trial would need to show.
Where marks go in NU504 Unit 4
Treating p = 0.054 as proof that earplugs do nothing, or as near enough to 0.05 to call a success, is the error this exercise exists to expose, and either version is typically marked down. Relative risk quoted without the absolute difference hides how many patients are actually spared. An NNT given without its interval, or calculated from the relative figure, misstates the evidence. Odds ratios described as though they were risk ratios exaggerate the effect whenever the outcome is common, as delirium is here. Statistically significant sleep gains presented as clinically meaningful, with no comment on the size of the change or the missing scores, suggest the writer stopped at the p value. Answers without working shown tend to lose credit even when the figure is right.
Get a NU504 Unit 4 example written to your instructions
Paste the results section or reported figures from your Unit 4 exercise, plus its questions and the rubric. Each number comes back interpreted in the same three moves, calculations shown and intervals kept attached, so every step of the reasoning is open to checking. The first custom sample carries no charge and is back in 24-48h.
NU504 Unit 4 questions, answered
How do relative risk and absolute risk reduction differ?
Relative risk compares the proportion of patients with the outcome in one group to the proportion in the other, so 0.66 means about a third fewer events. Absolute risk reduction subtracts one proportion from the other, here 33.3 minus 22.0 percent. The relative figure tends to travel across settings with different baseline risk; the absolute one tells a unit how many patients would actually benefit.
How is a number needed to treat calculated?
Divide one by the absolute risk reduction expressed as a proportion, then round up. An 11.3-point difference is 0.113, and one divided by 0.113 is about 8.9, reported as 9. The interval comes from inverting the bounds of the absolute difference; when that interval crosses zero, the NNT interval runs from benefit through infinity to harm, and should be reported that way.
Is a result with p just above 0.05 worthless?
No. A p value near 0.05 says the data are only moderately incompatible with no effect; it does not show the effect is zero. The confidence interval is more informative, because it shows which effect sizes remain plausible. An interval running from a large benefit to almost none calls for a bigger trial, not for dismissing the intervention or declaring it effective.