Weight Intake For An Adult

1248 WordsMay 5, 20175 Pages
Cheeseburgers are generally considered an American staple. At practically every fast food chain restaurant in the country, you can find one. According to PBS NewsHour, Americans ate 50 billion burgers in 2012, equating to roughly 3 burgers per person every week. It’s clear that Americans love their burgers, and I am no exception. With my particular affinity for cheeseburgers, I’d be happy eating 3 a week if my metabolism could keep up. But recognizing that the recommended calorie intake for an adult is 1500- 2000 Calories, I was curious to find the average amount of calories in cheeseburgers offered at popular restaurants. I don’t necessarily believe in calorie counting unless someone has difficulty losing or managing their weight,…show more content…
This distribution is not symmetrical as there are multiple non-uniform peaks and there is a strong right skew due to a possible outlier between 1100-1199, discussed in further detail later. Measurements and Calculations: The MEAN amount of Calories in the distribution is 625.58 Calories, calculated by adding all the Cheeseburger calories together, then dividing by the total amount of cheeseburgers (26). The MEDIAN amount of Calories in the distribution is slightly higher at 654 Calories, calculated by finding the middle value of the distribution. Since this data contained an even number of values, we rearranged the data in ascending order, then calculated the average of the 13th and 14th values to find the “middle” value. By using a calculator, we can find the STANDARD DEVIATION of the distribution to be 194.48 Calories. The 5 NUMBER SUMMARY (in Calories) includes a minimum value of 300, the first quartile value (or Q1) is 480 Calories, the median value is 654 Calories, the third quartile value (or Q3) is 750, and the maximum is 1190. Using the IQR RULE to check the data for outliers, I found that Red Robin Cheeseburger with 1190 Calories is an OUTLIER. The Interquartile Range (IQR= Q3 – Q1) is 750-480= 270. To find outliers, we can first multiple the IQR by 1.5, then subtract that new value from Q1 to get the minimum limit to rule out outliers. We can add the new value to Q3 to
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