Conclusion

Statistical significance: Statistical significance refers to finding results that are unlikely to occur by chance alone. It helps determine if an observed effect is genuine rather than due to random variability.

Type I error: Type I error occurs when we reject the null hypothesis even though it is actually true. It represents false positive findings.

Type II error: Type II error occurs when we fail to reject the null hypothesis even though it is actually false. It represents false negative findings.