Instructions Create a PowerPoint presentation for the Sun Coast Remediation research project to communicate the findings and suggest recommendations. Please use the following format: §  Slide 1: Inclu

ANOVA and T-test

Empirical research requires an investigator at some time to test whether the hypothesis they made should be rejected or accepted. ANOVA and T-test are the parametric statistical measures that are commonly used in the dispensation. ANOVA is often used to compare the mean of two or more groups, while the T-test is used when only two groups are involved (Rojewski, Lee, and Gemici). The T-test is preferable when comparing the mean between two groups, with the aim of identifying whether the population means of both samples greatly differ from one another. An example would include comparing whether monetary incentives are related to employee turnover. The investigator in the instance may collect data from both the test group and the control or placebo group. In order to confirm whether the resulting data sets are from the same sample population, a T-test is conducted to confirm how far the mean differs between the two data sets. The use of the T-test in the instance assumes, however, that the variable is normally distributed, but may also have unknown variances.

ANOVA, on the hand, is appropriate for use when there are more than two groups that are being compared. In the case of employee turnover, the investigator may choose to collect data on three groups mainly, permanent, casuals, and the control group. Results may indicate that permanent employees have a high percentage of turnover, but also at a very low standard of deviation, while casuals have low turnover at a high standard deviation. In order to eliminate the effect of unknown variance, ANOVA is appropriate to determine how far among each group were the means different. That being said, the T-test is only appropriate to use when a small sample is involved and the groups to be compared are equal to two.

References

Rojewski, Jay, In Heok Lee, and Sinan Gemici. "Use of t-test and ANOVA in career-technical education research." Career and Technical Education Research 37.3 (2012): 263-275.