SAMPLE QUESTIONS ON SCIENTIFIC APPROACHES TO SOLVING AGRICULTURAL PROBLEMS
JBA 351
TRIAL QUESTIONS
SET A
1. (a) What is the difference between statistic and parameter?
(b) (i) A researcher wants to test whether a new pesticide reduces the number of pests
on tomato plants. Determine the alterative hypothesis
(ii) A farmer wants to test whether a new variety of a corn produces a higher average
yield per acre than the current variety. Determine the null hypothesis.
2. (a) What is the relationship between sample size and standard error?
(b) Design the layout of a Completely Randomized Design using five replication and
four treatments (A, B, C and D)
3. (a) List three characteristics of negatively skewed distribution curve
(b) State the reason why completely Randomized Design (CRD) is also known as one
way-classification and Randomized Complete Block Design (CRBD) also know as
two way Classification
4. Explain the following
(i) Skewness
(ii) Discrete variable
(iii) Factor
(iv) Standard error
5. The following results show the yields of four variety of soya beans planted in large
plastic bag. Each treatment (variety) was represented by five bags with two plants per bag. A completely Randomized Design was used for the study
i. Write the null and alternate hypothesis of the experiment
ii. Complete the ANOVA table below using the above data
iii. Were there significant difference among the varieties?
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Among Varieties (treatment) | | | | | |
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6 . (a) Explain two causes of poor Group Dynamics
(b) State three consequences of research misconduct
TRIAL QUESTIONS
SET B
1. The number of coco nut produces in a year from 50 trees of a dwarf variety are as follows
(a) Construct a group frequency distribution table for the data using 40 -59, 60-79, 80-99 etc
(b) Find the mean of the distribution
(c) Draw a histogram of the distribution
2. (a) State any three important steps in testing hypothesis
(b) State four advantages of Completely Randomized Design
3. (a) Differentiate between Primary and Secondary Data
(b) Identify three areas of Consideration in research obligation
4. (a) Explain four general ways of collecting primary data
(b) State three steps in data analysis
5. (a) Distinguish between type I and type II error
(b) List three areas in which the number of replications to use in an experiment
depend on
6. (a) Construct a correct treatment combination factorial design with two varieties
(v) and three Nitrogen (N) rate
(b) Explain statistical hypothesis
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