PROBLEM

It was identified that, in a factory in Puerto Rico, the employees were less productive than the workers in the original factory of the same company in Germany. One researcher thought that the Germans might be more productive because they had more time for lunch, in addition to taking a nap. Therefore, he used a group of control employees. No change was made to them in their departure and arrival times for lunch. At the same time, he had an experimental group. That group was extended the time for lunch and thus to return to work. After a month of work, both groups were evaluated and the results below were obtained.

HYPOTHESIS ?????

The table below has two (2) samples, each with 8 subjects and their respective productivity measurements. Remember that the data must be normally distributed to both groups. It is a quasi-experimental research design because it is not very rigorously, controlling all the independent variables that could intervene both in the results of Puerto Rico, as well as not taking into consideration other cultural factors and economic Germans such as their work culture, salaries, how much they pay in taxes, the fringe benefits of the employer and the State, and so on. For example, something as simple like paying high taxes, but having public hospitals and schools with first class services. This could give us surprises in the results, as it could not.

PRODUCTIVITY

CONTROL GROUP EXPERIMENTAL GROUP

73 80

70 86

62 64

85 83

71 74

84 67

78 75

66 70

t-TEST

Only in the first sentence should you write whether or not there are significant differences between the means. Then, they must write only the values that are requested without explaining them.

Below, I remind you what mean.

******************************** Important Below ************************************************************************

t= value of t.

(gl)= between parentheses the degrees of freedom

p= p-value

d= effect size

*******************************Important Above ****************************************************************************

Results: ???? .

CONCLUSION: ????