Inferential Statistics and Findings




Inferential Statistics and Findings

Big Mart, a supermarket retailer, intended to conduct a research to find out how the working environment impacted the employee’s output in the company’s sales. Thus, the research question of the study is: Is there a positive relationship between a manager’s use of an employee satisfaction survey and the company’s sales?

The independent variable of this study is the employee satisfaction survey and the dependent variable is the company sales. Hypothesis of the research based on research question entails:

Null hypothesis: There is no positive relationship between employee satisfaction surveys and company sales.

Alternative hypothesis: There is a relationship between employee satisfaction and company sales.

Mosteller and Tukey (2012) denote that determining alpha level helps to locate the critical regions of the hypothesis. This region defined the extreme values that are unlikely to be obtained if the null hypothesis is true. In the case that values of the sample size obtained falls within the critical region then the null hypothesis is rejected at 95% confidence level.

Using a two-tailed test, z-score was computed (z =3.18). Calculation of z-score helped to give a description where the sample mean is located in relation to hypothesized mean of the population from the null hypothesis.

Since the computed z-score (z =3.18) lies within the critical region, the alternative hypothesis is therefore retained at 0.05 significance level. Thus, there is relationship between employee satisfaction and company sales. Company sales therefore entirely depend on the employee’s satisfaction. A satisfied employee will put more efforts in sales hence high returns.

The findings of this study indicate that returns of the company are subject to the efforts that employees put on selling the company’s products. This study finds it essential for the company management to avail a serene working environment for its employees for maximum returns to be realized. Freedman and Griffin (2013) asserts that managers ought to ensure that proper employee survey records are kept. The study further finds out that managers should ensure that there are regular shifts of employees, there is a flexible schedule and employees are well remunerated. This will boost the morale of employees; thus a high turnout will be realized consequently increasing productivity.




Freedman, A., & Griffin, M. (2013). Statistics Models: Theory and Practice, Cambridge University Press.

Mosteller, F., & Tukey, W. (2012). A practice of Data analysis and regression. Boston: Addison-Wesley.