A completed PSYC-FPX3700 Assessment 2 hypothesis test write-up, carrying one psychological question from hypotheses through a justified test and assumption checks to APA-style results. Searches like "psyc fpx 3700 assessment 2 assignment example", "psycfpx3700 assessment 2 sample" and "psyc-fpx3700 assessment 2 example" land here.
What a finished PSYC-FPX3700 Assessment 2 hypothesis test write-up looks like
The document looks short and reads slowly, because almost every sentence is doing something. The hypotheses appear first in both null and alternative form and in the language of the variables rather than in symbols alone, so it is clear what would be concluded either way. Test selection follows with a stated rationale: what kind of variables these are, how many groups, whether the observations are independent, and which test those facts point to. Assumptions are checked and reported, including the ones that turn out to be violated, with the consequence named. The results paragraph is written in APA form with the test statistic, degrees of freedom, exact p and an effect size, and then a sentence in ordinary English about what it means for the behavior in question.
How a PSYC-FPX3700 Assessment 2 example is structured
Six short parts, in the order the analysis actually happened. The question comes first, stated as something about people rather than about numbers. The hypotheses follow, null and alternative, directional or not, with the decision about direction explained since it changes the test. The third part justifies the test in prose: the variables, their measurement levels, the number and independence of groups, and what those facts rule out as well as what they rule in. The fourth part reports the assumption checks and what was done about any that failed, which is the section weak write-ups omit entirely. The fifth part is the results paragraph, formatted exactly, with the statistic, degrees of freedom, p value and effect size embedded in prose rather than listed. The sixth part interprets, cautiously: what was found, at what magnitude, and what the design does not license.
Hypotheses written in variable language
Null and alternative are stated in terms of what is being measured, so a reader knows what either outcome would mean about behavior.
Test selection argued in prose
The write-up says why this test and not the near neighbor, naming the variable types and group structure that made the choice.
Assumptions checked and reported
Normality, independence and homogeneity are examined and the results stated, including the checks that failed and what was done next.
One results paragraph, formatted exactly
Statistic, degrees of freedom, exact p and effect size sit inside sentences in APA form rather than in a bare list.
Effect size translated into magnitude
The number is followed by a sentence saying how large the difference actually is, because significance says nothing about size on its own.
Where marks go in PSYC-FPX3700 Assessment 2
Interpretation is where this write-up bleeds. A significant result described as large or important costs a criterion on its own, and so does a null result written as proof that no difference exists rather than as a failure to detect one. Second is the unjustified test, correctly executed, where a paired comparison has been run on independent groups or a difference test on data that wanted a correlation, and nothing in the document explains the choice. Third is the missing assumption section, which graders read as evidence that nothing was checked. Marks also go for effect sizes omitted or reported and never interpreted, for APA reporting that drops degrees of freedom or rounds p to a threshold, for hypotheses stated only in symbols, and for output pasted in with no accompanying prose.
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PSYC-FPX3700 Assessment 2 questions, answered
What if an assumption is violated?
Report it, say what you did, and explain why. Options include a nonparametric alternative, a transformation, or proceeding with a note on how robust the test is to that particular violation, and any of them can be defensible when argued. Silence is the only choice that always costs marks, because a grader cannot tell whether you checked and decided or never looked.
How do I write up a result that is not significant?
As a finding, in the same format, with the same components. Report the statistic, degrees of freedom, exact p and effect size, then say that the data did not provide evidence of a difference of the size you could detect. Avoid writing that there is no difference, and consider mentioning what sample size would have been needed to detect a small one.
Is an effect size always required?
In practice yes, and in most sections explicitly. Current APA reporting expects one alongside every test, and the interpretation criterion in this course is largely about translating it into plain magnitude. Report the appropriate measure for your test, give the conventional benchmark if you cite one, and then say what a difference of that size would look like in the behavior being studied.