What a p value can and cannot say, learned by misreading two weight-loss trials in a single session, fills this HS345 Unit 7 seminar reflection example. Searches like "hs 345 unit 7 assignment example", "hs345 unit 7 sample" and "hs345 unit 7 example" land here.
What a finished HS345 Unit 7 seminar reflection looks like
Roughly two first-person pages make up the reflection, organized as a before and after. The opening paragraph reproduces the slide the instructor showed: Study A, 4,200 adults, a 0.4-kilogram difference in weight lost at twelve months, p of 0.01; Study B, 48 adults, a 2.9-kilogram difference, p of 0.09. The writer records voting to expand the program on Study A's result and to set Study B aside. The middle paragraphs add the confidence intervals the slide withheld, 0.1 to 0.7 kilograms for Study A and minus 0.5 to 6.3 for Study B, and describe what the room made of them. One paragraph draws on the American Statistical Association's 2016 statement on p values. Its last paragraph states the question the writer will now ask first.
How a HS345 Unit 7 example is structured
Events run in the order the hour unfolded, which keeps the piece a reflection rather than a textbook summary. The vote opens it, reported honestly, since its reasoning is what changes. The intervals come next and do the work: Study A's range sits entirely below one kilogram, so its result is real but small, while Study B's range runs from about half a kilogram in the wrong direction to more than six kilograms, so it has settled nothing. The paragraph on the association's statement names two of its principles, that a p value does not measure the size or importance of an effect and that by itself it is a poor measure of evidence, and applies them to the two studies. A classmate's objection, that small effects summed across a population matter, receives a fair paragraph. A concrete habit closes it.
The slide and the vote
Two trials, two p values, and the writer's raised hand for expanding the program. The paragraph records the reasoning at the time: one result crossed 0.05 and the other did not.
Intervals the slide left out
Study A estimates 0.1 to 0.7 kilograms; Study B, minus 0.5 to 6.3. Placed on one line, a precise small effect and an imprecise possibly large one look like different kinds of evidence.
Significant, and still too small
Against the roughly 5 percent of body weight often treated as clinically meaningful, about 4.5 kilograms for a 90-kilogram adult, Study A has all but excluded a benefit worth a patient's effort.
Not significant, and not settled
Study B cannot exclude zero, and it cannot exclude a large benefit either. The writer rewrites the earlier dismissal as a request for a bigger trial.
A smallest effect worth acting on
The committed habit: before reading any p value, write down the smallest difference that would change a decision, then check whether the interval reaches it.
Where marks go in HS345 Unit 7
Graders of HS345 seminar reflections typically look for engagement with the session, accurate statistics, visibly changed thinking and clear writing. Accuracy carries most of the risk, because a reflection about p values can repeat the very misreadings the session corrected. Every claim here is worded with care: a p value is described as the probability of data at least this extreme if the program had no effect, never as the probability that the program works. Engagement credit comes from the vote and the classmate's objection. The before and after earns the thinking row. Common deductions include defining significance from a glossary without applying it, describing a nonsignificant result as proof of no effect, citing the association's statement without applying it, and endings that promise more care with numbers.
Get a HS345 Unit 7 example written to your instructions
The result at the center of a reflection should be the one your own HS345 Unit 7 group argued over. Pass along what the session examined, any figures shown, the questions set for students unable to join live, and the reflection rubric. First custom samples are free, delivered inside 24-48 hours, with each statistical claim worded as a statistician would accept it.
HS345 Unit 7 questions, answered
Why does Study A's p value look stronger if its effect is so small?
Because a p value depends on both the size of an effect and the size of the sample. With 4,200 participants, even a 0.4-kilogram difference is measured precisely enough to be distinguished from zero. The p value reports that distinction, not whether the difference matters. The interval shows both at once, which is why the reflection leads with it.
Is it wrong to call a result statistically significant?
Not wrong, but incomplete, and some statisticians now argue against using the phrase at all. The reflection keeps the term when describing the slide and then reports the estimate and interval, which carry more information. Many instructors accept either style, provided the size of the effect appears alongside any statement about significance.
What if my seminar covered a different example?
The reflection's pattern still applies: the result as first understood, the information that changed it, a fair hearing for another view, and a concrete habit. A custom sample follows the figures and questions from your own session, whether they concerned p values, confidence intervals or a published study your instructor chose.