# data[].attributes.body
Does your hunger level affect how much you buy at the store?

# data[].attributes.body
We went to 15 different grocery stores for 3 Saturday’s in the month of July to conduct our study. Our experimental units were the shoppers picked at random.

# data[].attributes.body
We had our experiment approved in all 15 grocery stores. The grocery stores we selected for our experiment were 5 Sprouts, 2 Frys, 4 Whole Foods, and 4 Costco’s.

# data[].attributes.body
Before the shoppers began to shop we asked them how hungry they are on a scale of 1 to 10. We asked a variety of different individuals. On the first Saturday we asked the shoppers at 9am, on the second Saturday at 3pm and the third Saturday at 7pm

# data[].attributes.body
Our explanatory variable is whether the shopper is hungry or full, as defined by what time of day they are shopping

# data[].attributes.body
We will measure the amount of sales from each store to determine if hunger level affects how much an individual buys

# data[].attributes.body
We randomized our store locations in the Phoenix area to create diversity within the individuals shopping. Our lurking variables would include any sales and promotions the stores are having and the time they usually eat.

# data[].attributes.body
Our control group is all of the individuals who responded with a 5 on a scale of 1-10 of hunger level before shopping.

# data[].attributes.body
Our study is neither a blind or double blind study. This is because the shoppers participating know they are part of the study and tell the researchers their hunger level before shopping. The researcher also knows everything that is going on in the study.

# data[].attributes.body
For our study we used the crossover design. This is because we went to 3 different stores on 3 different saturdays. This makes our data stronger.

# data[].attributes.body
Our margin of error is 25.82 because we are studying 15 different stores. This isn’t a large margin of error but sampling more stores would take more time and cost more money.

# data[].attributes.body
This study can be replicated in the future. Replication adds confidence in a study and doing this to this particular study will strengthen the data. Replication can be done with more stores and different treatments. It can also be done to determine 1 specific stores sales when customers are shopping hungry or full.

# data[].attributes.body
When customers were hungrier they ended up buying more food, including unnecessary or extra foods, averaging to $152 per purchase. The individuals who went shopping full spent an average of $65 per purchase. The individuals who went shopping on a hunger level of 5, being not hungry but not full, spent an average of $100 on groceries.

# data[].attributes.body
Almost all of the stores had a decrease in sales when customers shopped full. 13 out of the 15 stores had an increase in sales when customers went shopping hungry. This can be viewed as being statistically significant.

# data[].attributes.body
Our study included a team of 15 members. We payed each of the member $20 per hour during the experimental days. The team worked a total of 135 hours total on this study. There wasn’t no extra cost finding the customers to study due to volunteers. At the end of the study we thanked each of the managers at all 15 stores with a $50 chocolate basket.
Salaries: 15x20x135 = $40,500
Gift: 15x50 = $750
Total Cost: $41,250

# data[].attributes.body
Our report was replicated by our team with a larger variety of stores and the same results were shown that the hungrier you are the more you will buy at the store. The stores have made money off this study from all of the hungry buyers.