Abstract
Through hypothesis testing, it is possible to evaluate whether sample data collected based on a circumstance or scenario is statistical significance and can help enhance decision-making processes on such circumstance or scenario. To undertake hypothesis testing, statistics measures and examines random population samples using a variety of statistical tests before establishing values that are compared with test statistics and levels of significance to establish whether they are statistically significant. Both null and alternative hypotheses will be developed based on the provided set of SPSS data related to various aspects of employees’ work environment and a Pearson’s correlation, independent samples t-test and ANOVA will be calculated using SPSS software to determine whether the null hypothesis should be accepted or rejected.