JasminProject

Research question: If I melt “x” amount of semisweet chocolate chips, then it will take “x” amount of seconds. The case for this would be to see how many chocolate chips would take however many seconds to fully melt. The two variables in this experiment would be the chocolate chips and the time (seconds). I would do this by putting different amounts of chocolate chips into a glass measuring cup and then placing it into the microwave. I would start with a small amount of chocolate chips and then work my way up to a larger amount and record what I find in a data table as I went along. I expect there to be a strong positive association. As the number of chocolate chips increases, I expect the number of seconds to increase as well.

Here's how I collected my data:



Here's my results:


 * # of trials || # of chips || time to melt || time in seconds ||
 * > 1 ||> 5 ||> 1:10:00 ||> 70 ||
 * > 2 ||> 10 ||> 1:30:00 ||> 90 ||
 * > 3 ||> 15 || :40 ||> 40 ||
 * > 4 ||> 20 || :40 ||> 40 ||
 * > 5 ||> 25 || :30 ||> 30 ||
 * > 6 ||> 30 || :35 ||> 35 ||
 * > 7 ||> 35 || :40 ||> 40 ||
 * > 8 ||> 40 || :50 ||> 50 ||
 * > 9 ||> 45 ||> 1:00:00 ||> 60 ||
 * > 10 ||> 50 ||> 1:00:00 ||> 60 ||
 * > 11 ||> 55 ||> 1:00:00 ||> 60 ||
 * > 12 ||> 60 ||> 1:20:00 ||> 80 ||
 * > 13 ||> 65 ||> 1:20:00 ||> 80 ||
 * > 14 ||> 70 ||> 1:20:00 ||> 80 ||
 * > 15 ||> 75 ||> 1:20:00 ||> 80 ||
 * > 16 ||> 80 ||> 1:25:00 ||> 85 ||
 * > 17 ||> 85 ||> 1:25:00 ||> 85 ||
 * > 18 ||> 90 ||> 1:30:00 ||> 90 ||
 * > 19 ||> 95 ||> 1:30:00 ||> 90 ||
 * > 20 ||> 100 ||> 1:32:00 ||> 92 ||
 * > 21 ||> 105 ||> 1:35:00 ||> 95 ||
 * > 22 ||> 110 ||> 1:00:00 ||> 60 ||
 * > 23 ||> 115 ||> 1:00:00 ||> 60 ||
 * > 24 ||> 120 ||> 1:10:00 ||> 70 ||
 * > 25 ||> 125 ||> 1:12:00 ||> 72 ||
 * > 26 ||> 130 ||> 1:20:00 ||> 80 ||
 * > 27 ||> 135 ||> 1:00:00 ||> 60 ||
 * > 28 ||> 140 ||> 1:30:00 ||> 90 ||
 * > 29 ||> 145 ||> 1:15:00 ||> 85 ||
 * > 30 ||> 150 ||> 1:30:00 ||> 90 ||



*Time to melt chocolate chips (seconds)=.239(amount of chocolate chips)+51.411
 * slope || y-intercept || correlation || r2 ||
 * > 0.239421579532814 ||> 51.4114942528736 ||> 0.54577132515736 ||> 29.7866339364021 ||

My hypothesis was partically supported by my data. I figured that there would be a stronger positive correlation then there actually was. There was a positive correlation within my data, but it was not very strong. Some factors could have contributed to the outcome of my data and made it be different then I had expected. When I melted the chocolate chips I stirred them after I let them be in the microwave for a certain amount of time so this could have altered my data. Also my microwave could have changed temperatures while melting the different amounts of chocolate chips.