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CUSTOMER_CODE
SMUDE
DIVISION_CODE
SMUDE
EVENT_CODE
Jan2017
ASSESSMENT_CODE MB0050_Jan2017
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
17282
QUESTION_TEXT
Mention the steps involved in questionnaire design
SCHEME OF
EVALUATION
1. Convert the research objectives into the information
needed
2. Method of administering the questionnaire
3. Content of the question
4. Motivating the respondent to answer
5. Determining type of questions
6. Question Design criteria
7. Determine the questionnaire structure
8. Physical presentation of the questionnaire
9. Pilot testing the questionnaire
10. Administering the questionnaire
(1 mark each)
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
17286
QUESTION_TEXT
Explain the steps in testing of Hypothesis testing.
1.Setting up of Hypothesis
2.Setting up of suitable significance level
SCHEME OF EVALUATION 3.Determination of a test statistics
4.Determination of a critical region
5.Competing the value of test statistics
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
72428
QUESTION_TEXT
a.
b.
SCHEME OF
EVALUATION
a.
Explain the measures of central tendency.
What is null hypothesis and alternative hypothesis?
1. Mean:
The mean represents the arithmetic average of a variable is
appropriate for interval and ratio scale data. The mean is computed as:
Where,
= Mean of some variable X
=value of ith observation on that sample
n=Number of observations in the sample.
2. Median:
The median can be computed for ratio, interval or ordinal scale data.
The median is that value in the distribution such that 50 per cent of the
observations are below it and 50 per cent are above it. The median for
the grouped data is computed using the following formula:
Median=
Where,
l= lower limit of the median class
f= frequency of the median class
CF= cumulating frequency for the class immediately below the class
containing the median
h= size of the interval of the median class
N= sum total of all frequencies.
3. Mode:
The mode is that measure of central tendency which is appropriate for
nominal or higher order scales. It is the point of maximum frequency in
a distribution around which other items of the set cluster densely. in
the case of grouped data, the following formula may be used:
Mode=
Where,
l= lower limit of the modal class
f1, f2= the frequencies of the classes preceding and following the model
class respectively
f= frequency of modal class
h= size of the class interval.
(6 marks)
b. 1. Null Hypothesis:
The hypotheses that are proposed with the intent of receiving a
rejection for them are called null hypotheses. This requires that we
hypothesize the opposite of what is desired to be proved. The null
hypothesis is denoted by H0
2. Alternative hypotheses:
Rejection of null hypotheses leads to the acceptance of alternative
hypotheses. The rejection of null hypothesis indicates that the
relationship between variables or the difference between means or the
difference between proportions have statistical significance and the
acceptance of the null hypotheses indicates that these differences are
due to chance. The alternative hypotheses are denoted by H1.
(4 marks)
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
125441
QUESTION_TEXT
What are comparative scales? Explain the types of comparative scales?
Comparative scale: It is assumed that respondents make use of a
standard frame of reference before answering the question.
Comparative scale data is interpreted generally in a relative kind
Type
SCHEME OF
EVALUATION
Paired comparison scale
Rank order scaling
Constant sum order scaling
Q-sort technique
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
125443
QUESTION_TEXT
Explain the process of report formulation and writing.
1.
Preliminary section
-Title page
-Letter of authorization
SCHEME OF EVALUATION
-Executive summary
-Acknowledgement
-Table of contents
2.
Back ground section
-
Problem statement
-
Study introduction
Scope and objective
-Review of literature
3.
Methodology section
-
Research design
-
Sampling design
-Data collection and analysis
4.
Findings section
-
Results
-
Interpretation
5.
Conclusion
6.
Appendices
-
Glossary of terms 10M
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
125444
QUESTION_TEXT
Explain the criteria for good measurement
The three criteria for evaluating measurements
1.
Reliability
i.
Test retest reliability
ii. Split half reliability method
2.
Validity
SCHEME OF EVALUATION
i.
Content validity
ii. Predictive validity
3.
Sensitivity