I need help solving this problem. A One-Way Anova was chosen because coding experience (IV) is categorical and software development efficiency (DV) is continuous. The results are as follows:

A descriptive statistical analysis was performed to investigate the significant association between coding experience and software development efficiency. The sample comprised 100 participants for each variable, with no missing data. Table 1 presents the descriptive statistics for the two variables showing Coding experience (M = 4.78, SD = 2.50, Range = 9) with an IQR of 4.00 and Software development efficiency (M = 51.1, SD = 23.0, Range = 100) with an IQR of 36.00. The proximity of the mean and median signifies a symmetrical distribution; nonetheless, the extensive range and IQR reveal a broader spread and increased variability in efficiency scores.

A One-Way ANOVA analysis of variance utilizing Welch's correction was conducted to assess the relationship between coding experience and software development efficiency (see Table 2). The findings demonstrated a significant statistical effect of coding experience on software development efficiency, F(9, 19.6) = 2.56, p = .039, suggesting that software development efficiency scores varied significantly among different levels of coding experience (see Table 2).

Assumption testing was conducted to evaluate the normality and homogeneity of variances regarding software development efficiency. The Shapiro-Wilk test demonstrated no breach of normality, W = 0.992, p = .794 (see Table 3). Levene's test for homogeneity of variance yielded a non-significant result, F(9, 90) = 0.546, p = .837 (see Table 4), suggesting equal variances among groups. The visual examination of the Q-Q plot indicated that the standardized residuals closely aligned with the theoretical quantiles, thereby reinforcing the assumption of normality (see Figure 1).

These results collectively indicate a significant association between software development efficiency and coding experience, with a higher level of coding experience presumably relating to a higher level of efficiency. The findings support the hypothesis that software development performance is improved by a higher level of coding experience.

From the above information please provide an explanation of the following: Describe the limitations of the analysis. Discuss the potential confounding variables or biases could affect the results, and how they can be addressed in future research. Explain implications of the findings, and how these results can be applied in real-world situations related to these variables.