The study was quantitative in nature and employed non-probabilistic sampling design in order to collect data from 128 university students of final year studying in different domains.

Hence, this study has been conducted in order to understand relationship between entrepreneurial training and economic growth of Pakistan. However, the contribution of entrepreneurial skills through entrepreneurial training in this regard was not investigated by any other scholar. The research was initiated on the statistically proven premises that, there is a relationship between entrepreneurship and economic growth of Pakistan. Received: 8 January 2023 / Accepted: 25 February 2023 / Published: 5 March 2023 This study indicates that effective statistics learning can be achieved through guidance, training by experts and effective tools. Gender, qualification level, and subject taught did not affect the satisfaction score for any of the four aspects. Satisfaction with the training documentation, lecturers, training format, and interactive web application was at the highest level. It was also found that gender, school location and teaching level did not affect post-test performances. The results showed that, after participating in the program, the statistical analysis knowledge of the participants had increased significantly and met the pass criterion of more than 60% of the total score. Descriptive statistics, the Chi-square test, Fisher’s exact test, the Wilcoxon test, and the Kruskal-Wallis test were used to assess the responses, with the level of statistical significance set at 0.05. A satisfaction form was used to assess participants' satisfaction with all components of the program. A questionnaire of statistical knowledge was used as a pre-test and post-test. In-service training was conducted utilizing our developed interactive web application, with five hundred forty-six volunteer secondary teachers from public schools.

The purpose of this study was to improve teachers' knowledge of statistical methodologies for classroom research.

Mlb statistical tools for data analysis