DSRT 734: Comparing Three Product Weights in JASP

DSRT 734 Question

A company make three different products (A, B, and C). They took a
sample of 50 random products to see if the average weight of the
products are equal.

Download the dataset and open it in JASP.

Run the correct test to see if the average weights of the products
are equal.

Run any post hoc tests if necessary.

Copy and paste your results into the answer.

Write your conclusion statement in APA format.

What this question assesses

This assignment assesses selection and interpretation of a method for comparing a quantitative outcome across three product groups, including assumption checks, an omnibus decision, and post hoc comparisons only when justified.

How to approach this type of question

The missing data file prevents calculation. Once available, verify that weight is numeric, product is a three-level grouping variable, and each product contributes one independent observation. Inspect group sample sizes, distributions, unusual values, and variance behavior. In JASP, choose the analysis family that matches a quantitative outcome across three independent groups and request descriptives and relevant assumption diagnostics. Read the omnibus result before opening pairwise conclusions: post hoc tests answer which groups differ only when the overall analysis and assignment instructions justify that follow-up. Select an adjustment that matches the course guidance rather than reporting uncorrected comparisons as a family. An evidence worksheet should capture analyzed N, group means and standard deviations, the omnibus statistic and degrees of freedom, the p-value, and any adjusted comparison results. The final APA report must be based on the actual output and should separate statistical evidence from practical importance. No output, pairwise difference, or conclusion can be recreated from the prompt alone.

Before exporting results, confirm whether the data include exactly 50 observations total or 50 per product, because the wording supports only the former. Label every group and capture the actual analyzed N. If assumptions are questionable, follow the course’s validated alternative workflow instead of concealing diagnostics. Report only post hoc results produced by the justified model and adjustment. A reproducibility note should preserve the JASP analysis settings, variable roles, and output version alongside the final student work.

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Related DSRT 734 resources

• University of the Cumberlands course resources
• DSRT 734 Inferential Statistics in Decision-Making
• DSRT 734 Questions: Inferential Statistics in Decision-Making
• How to Choose an Inferential Statistical Test