| Course | DDBA 8307B Quantitative Business Data Analysis Using SPSS |
|---|---|
| Week | Week 10 |
| Paper type | Results reporting drill |
| Length | About 790 words, 5 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | Doctor of Business Administration (DBA) |
| Updated | October 2026 |
Free sample paper for DDBA 8307B Week 10
From Pasted Output to Sentences a Reader Can Use: A Results Reporting Drill on Five Short Items, a t-Test, an ANOVA, a Chi-Square, a Correlation and a Regression Coefficient, Each in APA Form and Then in One Plain Sentence Carrying Its Limit
Student Name
Walden University
DDBA 8307B: Quantitative Business Data Analysis Using SPSS
Instructor Name
Month Day, Year
From Pasted Output to Sentences a Reader Can Use: A Results Reporting Drill on Five Short Items, a t-Test, an ANOVA, a Chi-Square, a Correlation and a Regression Coefficient, Each in APA Form and Then in One Plain Sentence Carrying Its Limit
Why Drill the Conversion
SPSS output pasted into a paper looks like evidence and reads as nothing. A reader must hunt through columns to find the number that matters, and the output says nothing about what the number means or what it cannot show. The publication manual sets out how statistical results should be reported in text (American Psychological Association, 2020), and Appelbaum et al. (2018) add that reports should give effect sizes and intervals, not only tests. This drill takes five short results from business settings and renders each twice: first in APA reporting form, then in one plain sentence that a manager could repeat, carrying the result's main limit.
Item 1: Independent-Samples t-Test
A regional utility's call center tested a new call-routing system on one team and compared average handle time per call with a team still on the old system.
APA form: Calls handled under the new routing (M = 6.4 minutes, SD = 1.9, n = 120) were shorter than calls under the old routing (M = 7.1 minutes, SD = 2.2, n = 115), Welch's t(225.1) = 2.61, p = .010, mean difference = 0.7 minutes, 95% CI [0.17, 1.23], d = 0.34.
Plain sentence: Calls on the new system were about 40 seconds shorter on average, a modest difference that could reflect the team that tried it rather than the system, since teams were not assigned at random.
Item 2: One-Way ANOVA
A distribution center compared pick rates under three shelving layouts, each used for 20 shifts.
APA form: Pick rates differed by layout, F(2, 57) = 6.54, p = .003, η² = .19. Layout C (M = 158 picks per hour, SD = 15) exceeded Layout A (M = 142, SD = 14); Layout B (M = 151, SD = 13) did not differ clearly from either.
Plain sentence: The third layout produced about 16 more picks an hour than the first, though because layouts were tried in different weeks, seasonal order mix may account for some of the difference.
Item 3: Chi-Square Test of Independence
A grocery chain sent 2,000 shoppers a digital coupon and 2,000 a paper coupon for the same product.
APA form: Redemption was associated with coupon format, χ²(1, N = 4,000) = 17.93, p < .001, φ = .07; 15.6% of digital coupons and 11.1% of paper coupons were redeemed.
Plain sentence: Digital coupons were redeemed somewhat more often, but because shoppers who receive digital coupons had opted into the app, they may be more engaged shoppers to begin with.
Item 4: Pearson Correlation
A retailer correlated store size with inventory shrink across 48 stores.
APA form: Store floor area was negatively correlated with shrink as a percentage of sales, r(46) = −.31, p = .032, 95% CI [−.55, −.03].
Plain sentence: Larger stores tended to lose a slightly smaller share of sales to shrink, but the interval is wide, and the link may reflect better security staffing at larger stores rather than size itself.
Item 5: Regression Coefficient
A software firm regressed weekly sales leads on weekly digital advertising spending over 52 weeks.
APA form: Advertising spending predicted leads, b = 3.2 leads per $1,000, SE = 0.9, t(50) = 3.56, p < .001, 95% CI [1.39, 5.01].
Plain sentence: Each additional $1,000 of advertising went with about three more leads a week, a figure that could be as low as one or as high as five, and that may partly reflect the firm advertising more in weeks when demand was already rising.
A Common Error the Drill Avoids
The most common error in converting output is reporting the p value as if it measured the size or importance of an effect, writing for example that a result was "highly significant" when the difference was tiny. Each plain sentence above instead leads with the size of the effect in practical units and leaves the p value to the APA sentence, where readers who want it can find it.
What the Drill Teaches
Each APA sentence names the test and gives its degrees of freedom, statistic and p value, plus an interval or effect size, so another researcher can check it. Each plain sentence carries the size of the effect in the reader's units and the main reason it might not mean what it seems to. Cumming (2014) argued that estimation, effect sizes with their intervals, tells readers more than significance tests alone; the plain sentences lead with estimates for that reason.
References
American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). https://doi.org/10.1037/0000165-000
Appelbaum, M., Cooper, H., Kline, R. B., Mayo-Wilson, E., Nezu, A. M., & Rao, S. M. (2018). Journal article reporting standards for quantitative research in psychology: The APA Publications and Communications Board task force report. American Psychologist, 73(1), 3-25. https://doi.org/10.1037/amp0000191
Cumming, G. (2014). The new statistics: Why and how. Psychological Science, 25(1), 7-29. https://doi.org/10.1177/0956797613504966
DDBA 8307B Week 10 instructions, in plain terms
The tenth week asks you to practice converting statistical output into reported results. Take five short results, one each from a t-test, an analysis of variance, a chi-square test, a correlation and a regression coefficient, ideally from business settings. For each, write a sentence in APA reporting form that gives every value a reader needs to verify the result, including an interval or effect size, with descriptive statistics where needed. Then write one plain sentence a manager could repeat that states the size of the effect in practical units and carries the result's main limit, drawn from how the data were produced. Explain briefly what the two forms each accomplish. Cite reporting standards. Three to four pages is typical.
How the DDBA 8307B Week 10 example is put together
The drill opens by explaining why pasted output fails readers, citing the publication manual and Appelbaum and colleagues. Item 1 reports a Welch's t-test showing calls about 40 seconds shorter under new routing, with d of 0.34, limited by non-random team assignment. Item 2 reports an ANOVA with eta squared of .19 for three shelving layouts, limited by different weeks. Item 3 reports a chi-square with phi of .07 for coupons, limited by app opt-in. Item 4 reports a correlation of −.31 between store size and shrink, limited by security staffing. Item 5 reports a coefficient of 3.2 leads per $1,000 of advertising with its interval, limited by demand timing. Cumming's case for estimation closes it.
Where the marks sit in the DDBA 8307B Week 10 rubric
The drill is graded on accuracy and completeness of the APA sentences and on the usefulness of the plain sentences. Each APA sentence should include every element a reader needs to check the result, formatted correctly. Instructors look closely at the plain sentences: they should state the effect in practical units, not restate significance, and carry a specific limit tied to the data, such as non-random assignment or confounding timing. Generic limits earn little. Variety across the five items shows command of different procedures. A brief explanation of what each form accomplishes, supported by reporting standards, completes the drill. Consistency between the two forms of each result is checked. Variety in the kinds of limits named shows real thought.
Common DDBA 8307B Week 10 mistakes, and how to avoid them
Students often write APA sentences that omit effect sizes or plain sentences that just say a result was significant. For each result, pull every reported value from your output first. Then write the APA sentence. For the plain sentence, ask how big the effect is in dollars, minutes or units, and what about the data could make it misleading. Put both in one sentence. Check that the numbers match. A tutor can review your APA formatting against the manual. Read each plain sentence aloud to check that a manager would understand it.
Get a DDBA 8307B Week 10 example written to your instructions
Send the Week 10 prompt and rubric and list the procedures your drill covers. A drill with APA sentences, plain restatements and limit clauses for each item arrives in 24-48h, free as a first sample. The excerpts it converts are sample output written for the drill, so your version's numbers still come from procedures you ran.
More DDBA 8307B papers and DBA samples
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DDBA 8307B Week 10 questions, answered
Where can I find a free DDBA 8307B Week 10 sample paper?
Scroll down to read all five drill items in both forms, free.
Which procedures does the DDBA 8307B Week 10 drill cover?
An independent-samples t-test, a one-way ANOVA, a chi-square test, a Pearson correlation and a regression coefficient.
What must an APA results sentence include?
Every value a reader needs to verify the result: the statistic with its degrees of freedom, the exact p value and an interval or effect size, plus descriptives where needed.
What should the plain sentence carry?
The size of the effect in practical units and the main reason it might not mean what it seems.
Why lead with estimates?
Effect sizes with intervals tell readers how large and how certain a result is, which a p value alone does not.