Nt1310 Unit 2 Research Paper

Lab 4 Assignment
Subject: Research and Teaching Methods (BSYSE 512)
Instructor: Professor Joan Q. Wu
Submitted By Ashutos Parhi PhD in Food Engineering WSU, Pullman
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Lab 2 Tasks:
1. The words with hyphen are: master-at-arms, editor-in-chief, merry-go-round
2. Example of use of en dash:
Marconnet, Amy M. et al. “Thermal Conduction in Aligned Carbon Nanotube Polymer Nanocomposites with High Packing Density.” ACS Nano 5.6 (2011): 4818–4825. Web.
3. Equation with minus sign:
3x2 − 4x3= −39+ y2
4. Example with em dash:
And yet, when the piano was finally delivered— nearly a year after it was ordered—she was far too busy to play it, leaving her apartment in a real mess.
Lab 4 Tasks:
1. Interpretation of the codes:
Sub Leslie()
It indicates …show more content…
The element corresponding to the first column and first row is expresses as lambda (1, 1). Same is applicable for others. nt(1) = [D1] nt(2) = [E1]
As we defined number of adults and juveniles in the beginning as 100 and 10 respectively. So, we put the value 100 and 10 in the cells D1 and E1 respectively.
[A4] = "Generation": [B4] = "Adults": [C4] = "Juveniles"
[D4] = "Total Number of Adults and Juveniles"
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This indicates the name of the cells for the respective output
[A5] = 0: [B5] = nt(1): [C5] = nt(2)
Placing the values to the particular cell.
For K = 1 To 30
Loop starts to compute the number of adults and generation up to 30th. When K = 1, it will execute the result for 1st generation similarly when K = 30, it will execute the result for 30th generation.
Cells(5 + K, 1) = K
Gives output cell range for generations 1 to 30
For I = 1 To 2
The loop for matrix multiplication sum = 0
‘sum’ is variable and the initial value is set to zero.
For J = 1 To 2
The loop under ‘I’ loop to do matrix multiplication sum = sum + lambda(I, J) * nt(J)
It calculates the number of adults and juveniles and stores the value in ‘sum’ …show more content…
These tools are generally used to analyse and process large quantities of data through statistical methods.
The SAS programming language was developed by the researchers at North Carolina state university. It is a statistical tool used for the variance, mean and t distribution and F value calculations etc. The programming requires a code to be written and used which allows it to read different data sets which are prearranged in a tabulated manner. It provides extraordinary range of data analysis and data management tasks but requires specific skills and knowledge to write the programs and analyse the output. The program is especially useful in solving tasks related to ANOVA (Analysis of Variance), t test, F test etc.
R is also another useful statistical tool which can be used for statistical computing and graphics. It was developed by Ross Ihaka and Robert Gentleman at the University of Auckland. It possesses an effective data handling and storage facility, a suite of operators for calculations on arrays and in particular matrices, a large, coherent, integrated collection of intermediate tools for data analysis and graphical facilities for display, either directly at the computer or on

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