100 Examples of sentences containing the common noun "skewness"

Definition

Skewness refers to a statistical measure that describes the asymmetry of the probability distribution of a real-valued random variable. It quantifies the extent to which a distribution deviates from a normal distribution, indicating whether the data points are concentrated on one side of the mean. A positive skewness indicates a concentration of values on the left side of the distribution, while a negative skewness indicates a concentration on the right.

Synonyms

• Asymmetry
• Deviation
• Bias

Antonyms

• Symmetry
• Balance
• Uniformity

Examples

1. The skewness of the data set indicated that most values were clustered on the left.
2. Researchers often analyze the skewness to understand the distribution of survey responses.
3. A high skewness value can suggest potential outliers in the data.
4. The histogram clearly showed the skewness of the age distribution.
5. Financial analysts consider the skewness of returns when evaluating investment risks.
6. The skewness of the results raised questions about the methodology used.
7. Understanding skewness is crucial for accurate data interpretation.
8. The skewness in the sales data suggested a seasonal trend.
9. A negative skewness was observed in the test scores of the students.
10. The skewness of the distribution can impact the results of statistical tests.
11. Analyzing the skewness helps in making better predictions.
12. The report highlighted the skewness of income distribution in the region.
13. The skewness of the dataset was calculated to be 1.5.
14. Different statistical software can compute the skewness efficiently.
15. The skewness affected the reliability of the mean as a measure of central tendency.
16. A visualization of the skewness can be created using box plots.
17. The skewness of the weather data suggested a pattern over the years.
18. The significant skewness in the results prompted further investigation.
19. We must account for the skewness when conducting our analysis.
20. The skewness in the distribution was indicative of a larger problem.
21. The skewness was assessed to improve the accuracy of the model.
22. His research focused on the implications of skewness in social data.
23. The skewness values were plotted to visualize the data distribution.
24. A zero skewness indicates a perfectly symmetrical distribution.
25. The team analyzed the skewness to refine their hypotheses.
26. The skewness of the population data revealed disparities in access to healthcare.
27. They found a strong skewness in the performance metrics.
28. The skewness in the feedback suggested a need for service improvements.
29. The study reported a positive skewness in participant responses.
30. The skewness was an essential factor in the final analysis.
31. Noticing the skewness helped in adjusting the experimental design.
32. The skewness of the graph required a different analytical approach.
33. Students learned how to calculate skewness using Excel.
34. The skewness of the data may affect the validity of the conclusions drawn.
35. Statistical tests were performed to determine the skewness of the data.
36. Observations of skewness can lead to new discoveries in research.
37. The skewness was used to refine their predictive model.
38. The report detailed the skewness of various demographic factors.
39. The skewness in responses suggested differing levels of satisfaction.
40. The skewness of the distribution prompted a review of the sampling method.
41. During the workshop, participants learned about measuring skewness.
42. The skewness of the data set was a key point in their presentation.
43. Understanding the skewness can help in interpreting complex data.
44. The researcher presented findings on the skewness of education levels.
45. The skewness was calculated to ensure robust statistical analysis.
46. The findings highlighted the skewness in public opinion regarding the policy.
47. The skewness of the weather patterns raised concerns among scientists.
48. The skewness in the financial data could indicate potential market shifts.
49. They used software to analyze the skewness of the research data.
50. The skewness was particularly pronounced in the survey results.
51. A thorough examination of skewness is essential for accurate data interpretation.
52. The skewness observed in the results led to a revision of the hypothesis.
53. The skewness can provide insights into the underlying issues within the data.
54. The researchers reported a significant positive skewness in the findings.
55. The skewness of the data was a topic of discussion at the conference.
56. They needed to address the skewness to improve the statistical model.
57. The skewness of the distribution pointed to an anomaly in the data.
58. The team conducted a detailed analysis of the skewness in their results.
59. A proper understanding of skewness helps in making informed decisions.
60. The skewness was carefully documented in the final report.
61. The skewness in the datasets was a crucial aspect of their research.
62. The presentation included a section on the implications of skewness.
63. The skewness was identified as an area for further study.
64. The skewness of customer ratings indicated varying levels of service satisfaction.
65. They plotted the skewness to visualize the distribution effectively.
66. The skewness in the experimental results suggested a need for methodological changes.
67. The findings revealed a notable skewness in the demographic data.
68. A positive skewness often suggests a few high values in the dataset.
69. The skewness is a vital metric in understanding data trends.
70. The skewness was attributed to external factors influencing the results.
71. The study aimed to explore the relationship between skewness and other variables.
72. The skewness of the distribution was critical for understanding market behaviors.
73. The report concluded that the skewness was significant enough to warrant further research.
74. The skewness in the test scores highlighted disparities among students.
75. The skewness of the results suggested a need for policy changes.
76. The analysis of skewness helped refine their approach to data collection.
77. The skewness of the experiment's results was a point of contention among peers.
78. Understanding the skewness can greatly enhance data analysis skills.
79. The skewness was a factor in determining the validity of the research findings.
80. The skewness in the financial report raised eyebrows among investors.
81. The team was tasked with evaluating the skewness of the new data.
82. The skewness provided insight into the effectiveness of the marketing strategy.
83. The skewness was measured to assess the reliability of the survey.
84. The skewness in the results opened up new avenues for exploration.
85. The researchers focused on the skewness to ensure a comprehensive analysis.
86. The skewness of the distribution was noted in the executive summary.
87. The analysis revealed a concerning skewness in public health data.
88. The skewness was used to justify the changes made to the experimental design.
89. The skewness in the score distribution highlighted the need for targeted interventions.
90. They prepared a detailed report on the implications of skewness in the study.
91. The skewness was carefully examined in relation to the study's objectives.
92. The team decided to address the skewness by adjusting their sampling methods.
93. The skewness of the data set was a pivotal point in their findings.
94. The skewness of the test results prompted a reevaluation of the testing process.
95. Understanding skewness is fundamental for anyone working with data.
96. The skewness was attributed to biases in the data collection method.
97. The skewness was a key consideration in the analysis phase of the research.
98. The workshop included a session on how to measure and interpret skewness.
99. The skewness was identified as a potential risk factor in the analysis.
100. The data analysis focused heavily on the implications of skewness for future studies.