Interpretation of Descriptive Statistics

Interpretation of Descriptive Statistics

Bởi HUF04 Trần Huỳnh Gia Hân -

The questionnaire and dataset were obtained from a survey titled “User Perceptions of AI Tools in Linguistics Studies,” conducted by Mr. Vũ on the Tari website.

Descript...

tiếp...

The questionnaire and dataset were obtained from a survey titled “User Perceptions of AI Tools in Linguistics Studies,” conducted by Mr. Vũ on the Tari website.

Descriptive statistics table: here

  • What is the most surprising finding?

    • A notable finding is that all mean scores cluster around 4.00 on a five-point scale, indicating consistently positive perceptions of AI tool usability.

    • The highest rating relates to user-friendly design (M = 4.01), suggesting strong agreement that the interface supports learning.

    • The slightly lower score for finding features easily (M = 3.80) is interesting because it hints at minor usability challenges despite overall positive perceptions.

  • What do the central tendency values (mean/median/mode) tell you?

    • The mean values indicate that participants generally agree that AI tools are easy to use, efficient, and clearly designed.

    • The closeness of scores across items suggests stable attitudes rather than extreme opinions.

    • These central tendency patterns reflect a shared perception of usability within the sample.

  • Are there any issues with outliers or skewness?

    • Standard deviations remain below 1.00, indicating moderate variability and relatively consistent responses.

    • Although some minimum scores fall toward the lower end of the scale, they do not substantially distort the overall averages.

    • Therefore, there is no strong evidence of problematic outliers or skewness affecting interpretation.