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Ansc 713: Statistical Computing In Agricultural Sciences Question Paper

Ansc 713: Statistical Computing In Agricultural Sciences 

Course:Masters In Animal Science

Institution: Chuka University question papers

Exam Year:2013





CHUKA

UNIVERSITY

UNIVERSITY EXAMINATIONS
FIRST YEAR EXAMINATIONS FOR THE AWARD OF DEGREE OF MASTERS IN ANIMAL SCIENCE
ANSC 713: STATISTICAL COMPUTING IN AGRICULTURAL SCIENCES
STREAMS: MSC AN NUTR Y1S1 TIME: 3 HOURS
DAY/DATE: WEDNESDAY24/4/2013 8.30 AM – 11.30AM
INSTRUCTIONS:

ANSWER ALL QUESTIONS

1. Explain why proper management of data is necessary. [6 Marks]

2. (a) What is metadata. [1 Mark]

(b) Explain the importance of metadata in research. [4 Marks]

3. Data archiving is important in research process. However, there are principles to be
followed when archiving data. Clearly give the features of a good data archive.
[5 Marks]

4. (a) When MS Excel is used as a database, what do the ‘rows’ and ‘columns
represent?

(b) Explain how MS Excel can be used to facilitate the data entry process.

(c) What are pivot tables in Ms Excel and what are the basic rules for creating pivot
tables. [4 Marks]

5. (a) Differentiate between a DATA step and PROC step in a SAS program.
[2 Marks]
(b) State two rules of writing each of the following in a SAS program. Words,
Variable names, Statements. [6 Marks]

(c) The SAS program in Attachment 1 was used to analyse data from an experiment to determine the effect of three treatments on average daily weight gain (g/day). After running the program, the output in Attachment 2 was obtained. With reference to the attachment, explain the SAS program and the subsequent SAS Output. [10 Marks]

6. (a) State two main applications of regression analysis. [2 Marks]

(b) Give the simple linear regression model. [3 Marks]


(c) Write a SAS program to estimate the simple regression line of weight on
Heart girth of cows using the following sample data. [6 Marks]

Cow 1 2 3 4 5 6
Weight (Y) 641 633 651 666 688 680
Heart girth (x) 214 215 216 217 219 221

(d) After performing correlation analysis on the data in (c) above, the SAS output in
attachment 3 was obtained. Explain the output. [5 Marks]

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