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Online Tests
ICS Part 2 Statistics Chapter 15 Online Test MCQs With Answers
Question # 1
The total area under the curve of chi-square distribution is_______.
Choose an answer
1
0.5
0 to ∞
-∞ to +∞
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Question # 2
The two attribute A and B are positively associated, if _________.
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(AB) = (A)(B)/n
(AB) < (A)(B)/n
(AB) ≠ (A)(B)/n
(AB) > (A)(B)/n
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Question # 3
The shape of the chi-square distribution depends upon_________.
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Parameters
Number of cells
Degrees of freedom
Standard deviation
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Question # 4
The degree of relationship between the two attributes is called_______.
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Association
Correlation
Contingency
Quantitative
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Question # 5
(AB), (Aβ), (αB), (αβ) are called
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positive class frequencies
negative class frequencies
natural class frequencies
ultimate class frequencies
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Question # 6
If two attributes A and B have perfect positive association value of the coefficient of association is equal to _______.
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+1
-1
0
(r-1)(c-1)
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Question # 7
When the expected frequencies are very small the value of=χ2has been
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adjusted
omitted
changed
all of these
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Question # 8
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independent
positively associated
negatively associated
correlated
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Question # 9
C= ------------------------------
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Question # 10
A characteristic which varies in quality form one individual to another is called
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variable
constant
attribute
none of these
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Question # 11
The two attributes A and B are ________associated, If (AB) < (A)(B)/n.
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Positively
Negatively
Zero
Symmetrical
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Question # 12
If 6Σd
2
/n(n
2
- 1) is zero, the value of r
s
is ________.
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0.5
1
-1
0
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Question # 13
For a 3 x 3 contingency table, the number of cells in the table are _________.
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3
4
6
9
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Question # 14
A characteristic which varies in quality from one individual to another is called an_______.
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Variable
Attribute
Associated
Independent
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Question # 15
If two attributes A and B are independent, then co-efficient of association is______.
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-1
+1
0
0.5
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Question # 16
(α) = (αB) + ------------------
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(Aβ)
(AB)
(αβ)
(A)
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Question # 17
If (AB) = (A)(B)/n, the two attributes. A and B are _________.
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Independent
Dependent
Correlated
Quantitative
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