# data[].attributes.body
The statistical significance is very clear within this survey, given that there was a clear correlation between exercise and overall satisfaction is someone's job, given for people who did not enjoy their job there was an increase of thirty units, and even for people who enjoyed their jobs and began exercising, also resulted in a clear increase of thirteen percent. Additionally, there was a small increase of 1.5 units for people who already enjoyed their job but did not exercise and a one point decrease for those who did not enjoy their job and did not exercise, showing a relation between excessing and job satisfaction since their was a clear increase in job happiness for those people who exercised during the survey.

# data[].attributes.body
For Group A (People Who Excerised And Were Satisfied With Their Job), the results was an increase of thirteen units, for Group B (People Who Excercised And Were Not Satisfied With Their Job), there was an increase of thirty units, for Group C (People Who Did Not Excersised And Were Happy With Their Job) there was a slight increase of 1.5 units, for Group D (People Who Did Not Exercise And Were Not Happy With Their Job) there was a decrease of one unit.

# data[].attributes.body
Our study was replicated by a national research team and was published to a national bureau, and many gyms began using the marketing idea of joining their gym and starting a membership with them in order to be more satisfied in their jobs.

# data[].attributes.body
We had fifty researchers to help analyze the data and paid each one twenty dollars an hour (who spent twenty hours analyzing the data and creating the logistics of the experiment), twenty personal trainers who were paid twenty dollars an hour (who spent four hours creating each workout plan), and each participant received one hundred dollars to participate, as well as paying the gym a flat rate of 1500 dollars to use their gym for my survey resulting in a total of 73,100 dollars.

# data[].attributes.body
Originally, we matched people into two groups based on their overall satisfaction regarding their job based on a numerical scale to measure how happy they were with their work.

# data[].attributes.body
My control group were the people who were happy with their job and did not exercise as well as the people who were not satisfied with their job and did not exercise. We did have a placebo for this experiment since we were measuring people's exercise levels and their overall satisfaction with their jobs.

# data[].attributes.body
With 250 participants in each group, and five hundred people total, our margin of error is 4.4 percent for each group, and with such a small margin of error, help ensure our results are accurate and indicative of whether or not exercise affects someones' satisfaction with their job and how well they are able to work.

# data[].attributes.body
We were not able to blind our subjects given they know what group they are in and what they are doing, as well as their own satisfaction with their job. There is also no Double Blind in our experiment because each workout routine is based on that person's original goals and preferences, so we need to know who specifically is in each group.

# data[].attributes.body
We will replicate this experiment with five-hundred new participants from a different company in a different area around the nation, as well as try out a new gym to see if that affects the outcome.

# data[].attributes.body
We randomized the employees based on their original answers (whether they were satisfied with job) and assigned them a workout routine based on their interests and body type created by a personal trainer at a gym near their company. There were still lurking variables in this survey such as someone's interest in exercise and being active, whether someone enjoys being at a gym, whether or not their job interests them, co-workers, their paycheck, time spent at the job, other time commitments, and transportation.

# data[].attributes.body
The response variable were the people's satisfaction with their jobs.

# data[].attributes.body
The explanatory variable were the people's exercise levels within the three months that the survey took place.

# data[].attributes.body
After we randomly selected 500 people who did not exercise very often (less than twice a week) and 250 of those people were satisfied with their job and 250 people who were not satisfied with their job, we took each group and randomly split them in half. Half of the group (125 people in each group) were given a free three month gym trial and a workout plan created for them by the personal trainers at the gym to achieve the best results possible, as well as assist those who were not experienced in what workouts to do. We measured their levels of happiness at the beginning and ned of the three months, as well as their satisfaction with working out as a whole.

# data[].attributes.body
We selected this gym (Anytime Fitness) based on customer satisfaction, as well as it being a convenient gym for all 250 people who were on a workout plan to go to from work.

# data[].attributes.body
We found five-hundred people, 250 of them satisfied with their jobs, and the other 250 who were not. Half of each group of 250 people were signed up for a three month gym membership at the same gym and on the same workout plan.

# data[].attributes.body
Does a healthy workout routine affect someone's happiness at work?