HolmesCo: Quarterly Report Card

Week 7 handout — Effect sizes vs p-values

This is a fictional document for teaching purposes.


HolmesCo

Geological Consultants Since 2019

“Significantly Ahead of the Field”™


QUARTERLY TECHNICAL SUMMARY — Q1 2026

HolmesCo is pleased to present three key findings from our recent project portfolio. All results have been subjected to rigorous statistical testing.


Result 1: Wind farm output and elevation

HolmesCo compared annual energy output (GWh) for 15 wind farms on hilltop sites vs 15 wind farms in lowland areas across Northern England.

Hilltop Lowland
Mean output 48.2 GWh 31.5 GWh
SD 11.3 10.8

t-test: t(28) = 4.12, p < 0.001

95 % CI for difference: 8.4 to 25.0 GWh

Cohen’s d = 1.51

“Hilltop wind farms produce significantly more energy. This confirms what we’ve always known — elevation matters.”


Result 2: Borehole temperature and county

HolmesCo measured temperatures at 12 m depth in 1000 boreholes in County Durham and 1000 boreholes in North Yorkshire.

Durham N. Yorkshire
Mean temperature 11.63 °C 11.50 °C
SD 0.8 0.9

t-test: t(1998) = 3.41, p < 0.001

95 % CI for difference: 0.06 to 0.20 °C

Cohen’s d = 0.15

“A highly significant difference in geothermal potential between the two counties. HolmesCo recommends prioritizing County Durham for geothermal development.”


Result 3: Solar panel degradation rate

HolmesCo compared annual power output degradation rates for 20 monocrystalline vs 20 polycrystalline solar panels over 10 years.

Mono Poly
Mean degradation 0.45 %/yr 0.58 %/yr
SD 0.22 0.25

t-test: t(38) = 1.74, p = 0.09

95 % CI for difference: −0.02 to 0.28 percentage points/yr

Cohen’s d = 0.55

“No significant difference between panel types. Both technologies degrade at essentially the same rate.”


Your task

For each result, answer: Should we act on this? Why or why not?

Consider:

  • Is the result statistically significant?
  • Is the effect big enough to matter for policy or engineering decisions?
  • Does the confidence interval tell a different story from the p-value?
  • Would you trust HolmesCo’s interpretation?