B. Hypothesis: My hypothesis is that pine will burn the fastest because it is less dense. II. Methodology: A. Variables: Independent Variable: Types of wood (poplar, oak, and pine.) Dependent Variable: How fast the wood burns. Controlled Variables: Size of wood samples, tempter of fire, method of ignition, shape of wood samples.
Problem 8 Provide a list all projects which ended on December 1, 1982. Display the year and month of the starting date and the project number. Sort the result by project number. Name the derived columns YEAR and MONTH. Result YEAR MONTH PROJNO ------------+--------------------------+------------------------ 1982 1 MA2111 1982 1 MA2112 1982 2 MA2113 ANSWER:SELECET YEAR (PRSTDATE) AS YEAR, MONTH(PRSTDATE) AS MONTH,PROJNOFROM PROJECTWHERE PRENDED = ‘1982-12-01’ORDER BY PROJNO | PROBLEM 9 List the project number and duration, in weeks, of all projects that have a project number beginning with MA.
The real density of aluminum is 2.70 grams, the density we found was 2.69 grams. This made the present error -0.37%. A couple sources of error we could have had are reading the measurements on the graduated cylinder and scale and also we could have inaccurately recorded the data. In order to get more accurate data one could use a more specific scale, tested a few more times, or been more specific about the pieces of aluminum they used. The experiment did meet the overall goal, which was getting close to, if not hitting, the density of 2.70 grams and we came close with less than -0.5% percent
In Exercise 4A: Plant Pigment Chromatography, the experiment was demonstrated by the teacher. We needed a 50-ml graduated cylinder with 1 cm of solvent in the bottom. One piece of filter paper needs to cut, so that it touches the solvent. Cut the end to a point and draw a pencil line 1.5 cm above the point. A coin needs to be used to extract pigments from the spinach leaf cells.
Trial 1 V (v) | I (A) | 0.5 | .02 | 1.0 | .04 | 1.5 | .06 | 2.0 | .08 | 2.5 | .10 | 3.0 | .12 | 3.5 | .14 | 4.0 | .16 | 4.5 | .18 | 5.0 | .20 | Table 1. This table shows the magnitude found when using the Power Resistor portion of the experiment. Trial 2 V (v) | I (A) | 2.0 | .05 | 4.0 | .08 | 6.0 | .08 | 8.0 | .10 | 10.0 | .11 | 12.0 | .12 | 14.0 | .12 | 16.0 | .13 | 18.0 | .14 | 20.0 | .14 | Table 2. This table shows the magnitude found when using the Light Bulb portion of the experiment Trial 3 V (v) | I (A) | 2.0 | 0.1 | 4.0 | 0.19 | 6.0 | 0.29 | 8.0 | 0.38 | 10.0 | 0.50 | 12.0 | 0.60 | 14.0 | 0.70 | 16.0 | 0.80 | 18.0 | 0.90 | 20.0 | 1.00 | Table 3. This table shows the magnitude found when using the rheostat portion of the experiment.
Friction Objectives: To provide an understanding of the concept of friction. To calculate the coefficient of friction of an object by two methods. Materials: Ramp board: 3 - 4 feet long, 10 cm wide Can of soft drink or item of similar weight Friction block set-PK Protractor Scale-Spring-500-g Tape measure, 3-m Lab notes: Using the wooden block provided in LabPaq, a long board, a can of beans and the 500-g spring scale I will try and determine the force of kinetic friction, N, and the force of static friction, N while pulling the block at a constant speed. I will convert kg-mass to Newtons by multiplying the kg-weight by 9.8 m/s2, i.e., 100 g = 0.1 kg = 0.1 x 9.8 = .98 N. Observations: Mass of block (with can): 3995 kg Weight: 3.91 N Data Table 1: Flat board Flat board Force of Kinetic Friction, N Force of Static Friction, N Trial 1 1.1 0.6 Trial 2 1 0.7 Trial 3 1 0.9 Average 1.03 0.73 Data table 2: Flat board - Block Sideways Mass of block (with can) 3995 kg Weight: 3.91 N Flat Board - Block sideways Force of Kinetic Friction, N Force of Static Friction, N Trial 1 1.3 1.4 Trial 2 1.1 1.5 Trial 3 1.1 1.1 Average 1.2 1.5 Data Table 3: Different surfaces Surfaces tried: Glass surface Force of Kinetic Friction, N Force of Static Friction, N Trial 1 0.4 0.1 Trial 2 0.4 0.1 Trial 3 0.4 0.2 Average 0.4 0.13 Data Table 4: Different Surfaces Surfaces tried: Sandpaper Force of Kinetic Friction, N Force of Static Friction, N Trial 1 2.2 1.5 Trial 2 2.1 1.7 Trial 3 2 1.1 Average 2.1 1.43 Data Table 5: Different Surfaces Surfaces tried: Wood on Carpet Force of Kinetic Friction, N Force of Static Friction, N Trial 1 1.4 1.9 Trial 2 1.5 1.6 Trial 3 1.5 1.7 Average 1.47 1.73 Data Table 6: Raised Board Height Base Length θ max μs Trial 1 .44196 m .71120 m 60 deg 0.62143 Trial 2
TASK 1 A. Complete the attached “Simulation Template” to determine the following costs: 1. Average materials cost per unit The first thing I had to do was figure out the random numbers interval in order to figure out the material cost per unit. Materials Probability Cost Random Numbers Interval* 0.2 $ 33.00 0.00 < 0 .20 0.33 $ 35.00 0.21 < 0.53 0.37 $ 38.00 0.54< 0.90 0.1 $ 39.00 0.91 < 1 *The random number interval came from the probability which was provided in the simulation template. I first start with 0.00 less than the probability which is 0.20 then we start at 0.21 less than 0.53.
Use the Drawing Tools tab to change the formatting of the pull quote text box.] Table [ 1 ] Progression of Substitution Reaction Time (min) | Vol. 0.1 M HCl | Moles of HCl | Moles NaOH in aliquot | Volume of aliquot (L) | [NaOH] (M) in aliquot | 1/[NaOH] (M-1) | 0.00 | 18.59 | 0.00186 | 0.00186 | 0.01 | 0.186 | 5.376 | 20.03 | 16.99 | 0.00170 | 0.00170 | 0.01 | 0.170 | 5.882 | 35.01 | 17.28 | 0.00173 | 0.00173 | 0.01 | 0.173 | 5.780 | 49.39 | 15.33 | 0.00153 | 0.00153 | 0.01 | 0.153 | 6.536 | 64.43 | 15.51 | 0.00155 | 0.00155 | 0.01 | 0.155 | 6.452 | 74.36 | 14.22 | 0.00142 | 0.00142 | 0.01 | 0.142 | 7.042
A. 29 r 17 B. 37 r 7 C. 32 r 6 D. 28 r 5 16. The decimal form 1.46 becomes _______ expressed as a percent. A.
A 15ga nail gun can fire bigger nails than a 23ga nail gun. The 15ga and 16ga nail gun are the most popular and versatile nailers you will find. But the nail size, of course, depends on what you will nail. Choose one that is appropriate for the material you are working on. Remember that a nail too big will most likely shatter wood that is too thin.