Hhlh

In: Other Topics

Submitted By preciousfp
Words 576
Pages 3
Criterion E: Processing Data
Stoichiometry: Actual and Theoretical Yield

Data and observations:
During the process of carrying out this test, we were told to heat up 1 gram of dibasic cupric carbonate, so that we are able to determine the weight of copper oxide obtained when the compound is decomposed my heating- as per the sheet we received. While operating this, I captured that at first, the color of the substance was a bright aqua blue, as oppose to after heating, when I witnessed it gradually change color to a charcoal solid black powder. Also, after measuring the powder before and after, it is discovered that the mass of the powder decreases. The data that we gathered shows that we started off with 1 gram (as authorized to do in the procedure) of the aqua blue substance when measured fairly accurate, and we ended up with .81grams of black powder.

Data Analysis:
When calculating the actual yield of copper oxide from the data recorded we found that the most accurate results would be .72 grams, different measurements from what we were able to attain, which was .81 grams. This could perhaps have occurred because of miscalculation and inaccuracy in measurement. For example, a small amount of powder may have been displaced while stirring the powder when it was placed above the bunsen burner. Some of the powder may have also remained on the stirring rod. Another possibility for this decrease could be that, as the substance was heated, it was also compressed. The reason behind why this change may have only been an error is because of the very slight decrease of the substance after the experiment was carried out. If this test was carried out more than one time, it would result in the data being more reliable and more accurate than it turned up being. The percent error amongst the difference actual yield and theoretical yield ended up being 12.5%. In other…...

Similar Documents

Industrial Engineering

...information theory, as the motor system bandwidth. In this case, the bandwidths were 38 bits/s for the finger, 23 bits/s for the wrist, and 10 bits/s for the arm. This decrease in information processing rates was explained as the result of added processing for the additional joints, muscles, and motor units. Interestingly, these results are identical to Gilbreth’s classification of movements (see Section 4.2). EXAMPLE 7.3 McGraw-Hill Create™ Review Copy for Instructor Espinoza. Not for distribution. 288 Freivalds: Niebel’s BBE 4505 Methods, Standards, and Work Design, 12th Edition 7. Design of Cognitive Work © The McGraw−Hill Companies, 2009 Text CHAPTER 7 7.0 HHHH 6.5 LHHH 6.0 I.P. time (s) 296 5.5 5.0 LLHL LHLH HLLH LLHH HLHL LHHL HHLH HLHH HHHL LLLH 4.5 HLLL 4.0 HHLL LLLL LHLL 3.5 3.0 7 Figure 7.6 8 9 10 Information input (bits) 11 12 Hick-Hyman law illustrated in a wiring task. (Reprinted from Applied Ergonomics, Vol. 19, Bishu and Drury, Information Processing in Assembly Tasks—A Case Study, pp. 90–98, 1988, with permission from Elsevier Science.) RESPONSE EXECUTION Response execution depends primarily on human movement. More details on the musculoskeletal system, motor control, and manual work can be found in Chapter 4. Note that the Fitts’Tapping Task (see Figure 7.7) is a simple extension of the Hick-Hyman law with respect to movement and also an example of a speedaccuracy trade-off with respect to the size of the target and movement time.......

Words: 294686 - Pages: 1179

ファンタジーライフ オンライン | Manteaux en cuir véritable | Polytrol 20 L Ravive Carrosserie Plastique Peinture Alu Chrome Gelcoat Marbre