100 Examples of sentences containing the common noun "statistic"

Definition

A "statistic" is a numerical value that represents a characteristic of a sample or population, often used in the context of data analysis, research, or reporting. It can also refer to a mathematical function that summarizes data, such as the mean, median, mode, or standard deviation.

Synonyms

• Data point
• Figure
• Measurement
• Metric
• Numeral
• Calculation
• Parameter

Antonyms

• Anecdote
• Fiction
• Fallacy
• Misrepresentation

Examples

1. The researcher statistic the average height of the participants in the study.
2. She statistic the results to show a clear trend.
3. The committee statistic the data to find the most significant outcomes.
4. He statistic the findings in his presentation to support his argument.
5. The report statistic various factors affecting the economy.
6. They statistic the demographics to tailor their marketing strategy.
7. The analyst statistic the performance metrics for the last quarter.
8. The team statistic the survey responses for their final report.
9. She statistic the error rates across different groups.
10. The professor statistic the sample size needed for the experiment.
11. The software statistic the user engagement levels effectively.
12. He statistic the data trends over the past decade.
13. They statistic the average response time in the customer service department.
14. The survey results statistic a significant change in public opinion.
15. The study statistic the correlation between exercise and mental health.
16. She statistic the voting patterns in the election.
17. The team statistic the impact of the new policy on productivity.
18. He statistic the responses to identify common themes.
19. The researcher statistic the data points to support her hypothesis.
20. The report statistic the key findings in a clear format.
21. They statistic the financial data to highlight potential risks.
22. The presentation statistic the project’s outcomes effectively.
23. She statistic the results to ensure accuracy.
24. The analyst statistic various metrics to evaluate performance.
25. He statistic the historical data for comparison.
26. The study statistic the relationship between income and education levels.
27. The team statistic the progress made over the past year.
28. She statistic the survey results to create visualizations.
29. The company statistic customer satisfaction ratings regularly.
30. They statistic the project outcomes to inform future initiatives.
31. He statistic the data trends before making a decision.
32. The report statistic the average sales figures for the quarter.
33. The researcher statistic the variability within the sample.
34. She statistic the results to analyze the effectiveness of the program.
35. The analyst statistic the data to identify outliers.
36. They statistic the performance indicators for the team.
37. He statistic the impact of social media on brand awareness.
38. The study statistic the change in behavior post-intervention.
39. The report statistic the demographic changes over the years.
40. She statistic the feedback to improve future offerings.
41. The team statistic various outcomes from the experiment.
42. He statistic the data to find patterns in consumer behavior.
43. The researcher statistic the key variables in the study.
44. She statistic the average cost of living in different cities.
45. The report statistic the main challenges faced by small businesses.
46. They statistic the results to understand the implications.
47. He statistic the historical trends in employment rates.
48. The analyst statistic the data to support the findings.
49. The team statistic the metrics to guide their strategy.
50. She statistic the survey data to create a comprehensive report.
51. The study statistic the effectiveness of the new training program.
52. They statistic the customer feedback for insights.
53. He statistic the data visualization for easier interpretation.
54. The researcher statistic various factors influencing the results.
55. She statistic the average response rate in her analysis.
56. The report statistic the financial health of the company.
57. They statistic the user behavior data to enhance the website.
58. He statistic the number of participants in the study.
59. The analyst statistic the results to identify key trends.
60. The team statistic the performance benchmarks for comparison.
61. She statistic the results to draw meaningful conclusions.
62. The study statistic the efficiency of the new system.
63. He statistic the demographic data to inform policy decisions.
64. The report statistic the outcomes of the initiative.
65. They statistic the data to prepare for the upcoming meeting.
66. She statistic the survey findings for clarity.
67. The researcher statistic the impacts on the local community.
68. He statistic the annual growth rates across sectors.
69. The analyst statistic the data to ensure reliability.
70. The team statistic the project’s milestones for review.
71. She statistic the changes in user engagement metrics.
72. The study statistic the relationship between variables.
73. They statistic the key performance indicators for assessment.
74. He statistic the audience demographics for targeted marketing.
75. The report statistic the recent trends in consumer spending.
76. She statistic the data analysis to uncover insights.
77. The researcher statistic the findings to validate the hypothesis.
78. He statistic the performance data to gauge success.
79. The analyst statistic the historical context for better understanding.
80. The team statistic the results to plan next steps.
81. She statistic the user feedback for product improvement.
82. The study statistic the effectiveness of different strategies.
83. He statistic the data to ensure robust conclusions.
84. The report statistic the overall satisfaction levels.
85. They statistic the responses to generate actionable insights.
86. She statistic the variables to assess their impact.
87. The researcher statistic the findings to inform future research.
88. He statistic the data trends over multiple years.
89. The analyst statistic the metrics to identify performance gaps.
90. The team statistic the outcomes of the intervention program.
91. She statistic the user statistics to enhance user experience.
92. The study statistic the changes in market dynamics.
93. He statistic the performance data for the quarterly review.
94. The report statistic the impact of economic changes.
95. They statistic the data to support their claims.
96. She statistic the survey results to identify areas for improvement.
97. The researcher statistic the findings to contribute to the field.
98. He statistic the participation rates in the program.
99. The analyst statistic the results to prepare recommendations.
100. The team statistic the project outcomes to evaluate effectiveness.