Relationship Between Analysis Data Statistical Thinking and Statistics Achievement: A Survey of University Undergraduate Students in Khyber Pakhtunkhwa, Pakistan

Abstract

The study explores the magnitude of Analyzing data Statistical thinking (ADST), Statistics Achievement (SA), and relationship between ADST and sub-factors of SA with ADST. 360 Undergraduate were selected from the population. Multi multistage stratified random sampling technique was used in the selection of samples. ADST test was used for the purpose of data collection. Mean, standard deviation and Pearson correlation coefficient were used to analyze the data. Means were compared with the t test statistic, and ANOVA was used for the interaction effect of gender and school sector. From the results of the study, it was concluded that SA has a statistically significant and strong Positive correlation with ADST and their sub factors. Gender-wise statistically significant differences exist in the means score of ADST and SA. The university sector-wise statistically significant differences do not exist in the means score of ADST and SA at the 0.05 level of significance. Gender and sector-wise interaction effect on ADST and SA is statistically significance does not exist on the means score.