Sample Mole Lab Answers

The purpose of this experiment was to test multiple brands of popcorn under the same setting in order to conclude which one statistically popped the most kernels. I tested the butter flavor of Orville Redenbacher, Wal-mart’s Great Value brand, and Pop Weavers. The different bags of popcorn were popped in the same microwave for the same amount of time, 3 minutes and 15 seconds. Then, the popped corn was counted, as well as the un-popped kernels, in order to determine a ratio, and then I recorded the results in the data table. I repeated these steps two more times for a total of 3 trails for each brand. Then I compared the ratios of all the bags to determine which brand yielded the most popped corn. The statistical technique used to evaluate the data was to find a ratio between the number of kernels in the bottom of the bowl and the number of popped kernels. To find this, I divided the number of the actual popped corns by the total number of kernels left in the bottom of the bowl. The ratios and percent were then compared. Once all my results were in the data table, I averaged the 3 trials for each brand of popcorn.

Weight 10 dry post-82 pennies which get 77.12g, using 30ml initial volume measuring the volume of 10 pennies, record the data 9.1ml. Using equation Density= Mass/Volume, get the density of the pre-82 pennies is 8.47g/ml. Then calculate the error%=0.04%, and the deviation%=7.13%.

In Lab 3.2, we burned for different chemicals and each produced a different color. The colors were different because each element, when exited, gain more energy and when the electron release that energy and jump to a more stable level/orbit, it produces a specific color that corresponds with specific wavelength that matches with each different element. Since chemicals have certain colors and wavelengths, when different kinds of chemicals are burned, you can learn what is in that chemical depending on what is produced. If a certain chemical has several blue wavelengths and only a few red wavelength, the chemical will burn blue because the blue wavelength are stronger than the red. The red wavelength will still be there but can not be seen.

Since you have to put the beans that you had to mark with a marker back into the jar or bowel that you had used most of them would have been on top of the pile. So if you didn’t shake it well, most of the recaptures would be on top and that is where your hand goes when picking up the beans. If you have too many recaptures than the second example numbers would have been low and could affect the whole data making the formulas N wrong. 3) Since I wasn’t to confident with the 95% interval formula because of my struggles

6-3: This process is used by cells to manufacture _biochemical energy from nutrients into adenosine triphosphate (ATP), and then release waste products__

If the number of beans is accurate a lot of the times it will come out to a lesser percent error.

This experiment separates meat into an acetone-soluble part and an acetone-insoluble part. The calculations are based on the principal components of meat being fat (acetone soluble) and protein (acetone insoluble or fat-free meat in report sheet). More realistically, the principal components of meat are fat, protein, and water. Water is acetone soluble. Based on this information, the calculations correctly calculate what quantity, % fat or % fat-free meat? Is the incorrectly calculated quantity over or underestimated?

b) Possible reasons for the difference between our value and the literature value could be the fact that the machine we used would have absorbed some of the load, the dials and other measuring tools were difficult to get a very accurate reading from and how the experiment was set up on our behalf.

In this lab, different colored M&M’s were compared in order to find out if all M&M’s are created equally. Peanut M&M’s are peanuts that are dipped in milk chocolate and covered in a thin candy shell that comes in different colors. These M&M’s are produced and packaged at Mars, Inc. Each group was given 10 Peanut M&M’s of one specific color. The mass of each M&M was found using a scale and rounded to the nearest hundredth of a gram. Then the mass of the M&M’s was used to calculate different statistics such as the mean, median, mode, standard deviation from the mean, variance, standard error of the mean, and T-Tests.

I know that these are the organisms I randomly selected. I placed these organisms back into the living area, and mixed them all together. After that I determined the population size of this living area by randomly selecting another 25 organisms from the same area. I did this two times. In the first attempt, or group I captured 20 of these organisms, thinking I had captured all 25 organisms. Surprisingly though I captured all testers when I was hoping not to. After this was done I repeated this whole experiment over again with the second bag of lima beans. Now in this second attempt I am looking to actually capture some of the testers I have marked. In this second attempt I captured 18 of the 25 organisms. Only 8 of these organisms were my tester organisms.

In 1909 S.P.L. Sorensen published a paper in Biochem Z in which he discussed the effect of H1+ ions on the activity of enzymes. In the paper he invented the term pH to describe this effect and defined it as the -log[H1+ ]. In 1924 Sorensen realized that the pH of a solution is a function of the "activity" of the H1+ ion not the concentration and published a second paper on the subject. A better definition would be pH=-log[aH1+ ], where aH1+ denotes the activity of the H1+ ion. The activity of an ion is a function of many variables of which concentration is one. It is unfortunate that chemistry texts use a definition for pH that has been obsolete for over 50 years.

In this project we were given the case of customer complaints that the bottles of the brand of soda produced in our company contained less than the advertised sixteen ounces of product. Our boss wants us to solve the problem at hand and has asked me to investigate. I have asked my employees to pull Thirty (30) bottles off the line at random from all the shifts at the bottling plant. The first step in solving this problem is to calculate the mean (x bar), the median (mu), and the standard deviation (s) of the sample. All of those calculations were easily computed in excel. The mean was computed by entering:

There could have been several variables that could have affected the results of this lab. One would have been if the salt measurements were incorrect. If more or less salt was added than realized, this would have caused the results to be incorrect. Another variable could have been the size of the potatoes being measured incorrectly. If

The table below shows the percentage change of weight from before the experiment to after the experiment.

2. (5 pts) List and explain the names and affiliations of the various characters/stakeholders in this story – I’m looking for us to use the story to map out the complexities that are generally associated with solving public health puzzles – the stakeholders you list and explain here should apply to many of the cases we consider going forward.