"Statistical" Example Sentences
1. There was a statistically significant correlation between the two variables.
2. The results showed a high degree of statistical accuracy.
3. These data were analyzed using various statistical techniques.
4. The report provided statistical evidence to support the claim.
5. The researchers ran statistical tests on their data.
6. The statistical analysis revealed an unexpected finding.
7. The researchers compiled statistical information about the population.
8. The survey results yielded valuable statistical information.
9. The team performed statistical modeling to predict future outcomes.
10. A statistical outlier skewed the results of the study.
11. The study involved gathering and analyzing statistical data.
12. Statistical trends over time showed an interesting pattern.
13. The statistical mean of the data set was calculated.
14. Statistical variance measures the spread of data around the mean.
15. The statistical probability of that event occurring was very low.
16. The level of statistical significance was quite high.
17. The data were represented using statistical charts and graphs.
18. The statistical review revealed problems with the methodology.
19. They used statistical software to run the calculations.
20. A statistical summary of the results was presented.
21. The statistical mode was the most frequent value.
22. The statistical standard deviation was within acceptable limits.
23. The raw data were converted into statistical information.
24. The results were statistically insignificant.
25. Data were collected for statistical purposes.
26. The statistical median was a better measure for this data.
27. The data were subject to statistical interpretation.
28. There is no statistical basis for that claim.
29. The numbers fell within statistically normal parameters.
30. The findings were not statistically sound.
31. The study lacked statistical rigor.
32. The data set included valuable statistical metrics.
33. The interpretation of the statistics was flawed.
34. The statistical assumptions underpinning the analysis were flawed.
35. His statistics were rudimentary at best.
36. The statistical errors render the results invalid.
37. The statistical analysis required complex calculations.
38. The numbers don't lie, but statistics sometimes can.
39. The statistical results were open to interpretation.
40. The statistical dissemination of data was poorly handled.
41. Basic statistical concepts were covered in the beginning course.
42. The statistical estimates were imprecise.
43. They advocated for more comprehensive statistical reporting.
44. You must understand statistical inference to analyze the data properly.
45. The statistical distributions were visually displayed.
46. The statistical report lacks proper contextualization.
47. The statistical summary rounded values too aggressively.
48. The statistical study had a small sample size.
49. They needed more statistical evidence to prove their claim.
50. The survey results lacked sufficient statistical power.
51. His statistical analysis won an award.
52. The report focused on statistical facts rather than context.
53. He made fallacious inferences from the statistical data.
54. Without proper interpretation, statistics can be misleading.
55. The statistical discussion omitted crucial contextual details.
56. The statistical methods used were seriously flawed.
57. We failed to achieve statistical significance in our study.
58. The statistical evidence contradicts your claim.
59. The statistical reasoning contained in the report was weak.
60. The statistical results were ambiguous at best.
Common Phases
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Statistically significant ( large enough to be meaningfully different from random chance)
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Statistically negligible (too small to be meaningful)
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Statistical error (difference between observed result and true value)
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Statistical average (mean, median or mode of data set)
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Statistical probability (likelihood of something occurring based on statistics)
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Statistical outlier (data point far removed from most of the data)
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Statistical correlation (relationship or association between variables)
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Statistical distribution (how data values are spread out)
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Statistical norm (what is typical or average based on statistics)
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Statistical figure (number representing
statistical data)
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Statistical analysis (using statistics to study and draw inferences from data)
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Statistical sampling (selecting a subset of data to make inferences about the whole data set)
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Statistical modelling (using statistics to model or simulate real-world phenomena)
Hope this helps! Let me know if you would like any more common
statistical phrases.