1 |
In the study of two attributes, n = |
B +<span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: small;">α</span>
(AB) + (AB)
AB + (<span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: small;">αB)</span>
(A) + (<span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: small;">α)</span>
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2 |
The frequency of classes of the highest order are called |
Consistence of frequencies
Ultimate class frequencies
Independence of attributes
None of these
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3 |
If no attributes are specified, then the order of the class is |
0
1
n
None of these
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4 |
The Classes Aβ,αB, etc. are called
|
Positive classes
Negative classes
Negative of A and B
Contrary classes
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5 |
The two attributes A and B are independent, if the co-efficient of association |
Equals to one
Equals to zero
Not equals to zero
None of these
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6 |
The degree of relationship between the two attributes is called |
Association
Dichotomy
Variable
None of these
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7 |
The attributes denoted by A, B, ................ are called |
Positive attributes
Negative attributes
Contingency attributes
None of these
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8 |
If A denote that the object possesses the attribute A, thenα, means |
<span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: small;">β</span>
Not<span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: small;">β</span>
Not<span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: small;">α</span>
Not A
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9 |
The Greek lettersα ,β ....... are used to denote the ________ of A,B,C ............ |
Presence
Inverse
Absence
None of these
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10 |
The process of dividing the objects into two mutually exclusive classes is called |
Variable
Population
Dichotomy
Frequency distribution
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11 |
The purpose of simple linear regression analysis is to |
Replace points on a scatter diagram by a straight line
Measure the degree to which two variables are linearly associated
Predict one variable from another vaiable
None of these
|
12 |
If r between the lines of regressions of x and y and y on x, is +1, then |
Lines coincides
Lines are perpendicular
There is perfect correlation between x and y
A, B and C
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13 |
If the two regression coefficients are 0.8 and 0.2, then coefficient of correlation r is |
0.4
-0.4
1.6
None of these
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14 |
If r = 1 or -1, the regression lines are |
Parallel
Inclined at the angle <
Perpendicular
None of these
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15 |
If the sum of the product of deviations of x and y series from their means is zero, the correlation coefficient will be |
1
-1
0
None of these
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16 |
If x and y are independent variables, then two lines of regression are |
x= 0, y = 0
x = 0, y = const
x = const, y = 0
x= const, y = const
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17 |
If the correlation coefficient r = 0, the two regression lines are |
Parallel
Perpendicular
Coincident
Inclined at 45<span style="color: rgb(84, 84, 84); font-family: arial, sans-serif; font-size: small;">°</span>to each other
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18 |
The two regression lines are perpendicular to each other if |
r = 1
r = 0
r = -1
None of these
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19 |
If the critical region is located equally in both tails of the sampling distribution of test statistic, the test is called a |
Two tailed test
One tailed test
Right tailed test
Left tailed test
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20 |
For a two tailed test of hypothesis at alpha = 0.10, the acceptance region is the entire region |
To the right of the critical value
Between the two critical values
Outside of the two critical values
To the left of the positive critical value
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21 |
For a particular test, alpha = 0.05 and beta = 0.10. The power of this test is |
0.15
0.90
0.85
0.95
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22 |
Rejecting a null hypothesis, when it is true, is called |
Row scale
Simple hypothesis
Type 1 error
Type 2 error
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23 |
The probability of a type 1 error is |
Alpha
beta
Power curve
None of these
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24 |
The null hypothesis always refers to a specified value of the |
Population parameter
Statistic
Sample statistic
None of these
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25 |
The null hypothesis (Ho) is the hypothesis that is always |
rejected
accepted
zero
tested
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26 |
The statement of the alternative hypothesis never contains a(n) ________ sign regarding the specified value of the parameter |
equal
greater than
less than
None of these
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27 |
A null hypothesis is always one of status quo or |
effected
having some difference
having alternative
no difference
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28 |
_________ is the maximum variance unbiased estimator of the population variance |
Estimator
Statistic
Sample mean
All of these
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29 |
Which of the following is/are unbiased estimators |
Sample mean
Sample proportion
Sample variance
All of these
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30 |
When choosing an estimator of a population parameter, one should consider |
Sufficiently
Efficiency
Option A & B
None of these
|