Planning
The current study intends to explore the relationship between managers and individual contributors to employee satisfaction. A proposed explanation and hypothesis for the difference in satisfaction scores between the two groups can be determined. While the alternative hypothesis proposes that there is a relationship between the two variables, the null hypothesis rejects it. Therefore, after conducting the hypothetical test, it will be easy to determine whether there is a relationship between the two variables or not. A co-worker provided the data on the variables, which can be analyzed for results and discussion.
Analysis
Raw data is meaningless since it is difficult to determine the data set characteristics from it. Data analysis is crucial in getting significant meaning out of the raw data. The analysis procedures involve sorting the data, cleaning it, and conducting descriptive statistics: mean, count, mode, median, and standard deviation (Greenland, 2022). The count helps determine the number of participants whose responses will be analyzed. Meanwhile, the mean provides an average of the responses given. The total number of participants for the provided data was 53, with an average response of 50.33962.
The mode allows one to know the most frequent responses from the study participants. The median is the middle value of the data given if arranged from the smallest to the largest. On the other hand, the standard deviation helps in knowing how much the values differ from the average satisfaction score. The current study’s mode, median, and standard deviation are 23, 25, and 28.69397. The data provided was a sample from a larger population whose standard deviation and mean are unknown. Therefore, the data analysis procedure will involve conducting a two-sample t-statistical test using Microsoft Excel 2019.
Results and Discussion
The data given represented a population whose standard deviation and average were unknown. Consequently, the t-test assuming unequal variances was appropriate in proving and disproving the null hypothesis. The p-value for the test was 0.031143122, which was less than the significance level of 0.05. Therefore, the null hypothesis was rejected, proving the alternative one. There was a difference between the manager and individual contributor satisfaction scores. The organization needs to adopt employee welfare programs to reduce the difference in satisfaction scores.