Match the following.
List-I
List-II
a. Contingency table
1. A statistical test in which the null hypothesis is true and the test statistics has F-distribution
b. Non-parametric statistics
2. Do not depend on the shape of the distribution of the population
c. Parametric statistics
3. Number and nature of parameters are fixed in advance
d. F-test
4. Used to record and analyse the relationship between two variables or more variables, basically categorical variables
A. a-1, b-2, c-3, d-4
B. a-4, b-2, c-3, d-1
C. a-2, b-3, c-4, d-1
D. a-3, b-1, c-2, d-4
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What is the measure of relative dispersion?
A. Relative coefficient
B. Absolute coefficient
C. Coefficient of variation
D. Dispersion relativity
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If 'x' and 'y' are independent variables, then the two lines of regression are
A. x = 0, y = 0
B. x = constant, y = constant
C. x = 0, y = constant
D. None of these
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If x = X − X and y = Y − Y be n number of pair terms, then
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If expected frequency in a cell is less than 5, we combine adjacent cells, so that make it 5 or more than
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In the hypothesis testing procedure, a researcher may commit type II error in which of the following conditions?
A. When the true null hypothesis is rejected
B. When the alternative hypothesis is accepted
C. When the false null hypothesis is accepted
D. When the true null hypothesis is accepted
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A graph of a cumulative frequency distribution is called:
A. Frequency polygon
B. Frequency curve
C. Ogive
D. Pie diagram
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The formula for coefficient of variation-
A. Mean Standard Deviation × 100
B. Standard Deviation Mean × 100
C. Standard Deviation Mean − Mode × 100
D. Mean − Mode Standard Deviation × 100
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What type of correlation exists in the following two variates?
X
1
2
3
4
5
6
Y
10
12
14
16
18
20
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Under which of the following situations, chi-square test is applicable?
1. Testing homogenity
2. Testing goodness of fit
3. Testing equality of two sample means
4. Testing equality of two sample proportions
5. Testing independence of attributes
Select the correct answer using the options given below
A. 1, 2 and 3
B. 1, 2 and 5
C. 3, 4 and 5
D. 1, 3 and 5
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At 5% significance level, we are . . . . . . . . confident of the correctness of the decision.
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Biased error, a type of sampling error, may arise due to
A. faulty selection of sample
B. faulty work during the collection
C. faulty methods of analysis
D. All of the above
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Sampling distribution of mean is very close to the standard normal distribution when:
A. population is normally distributed
B. population is not normally distributed, but sample size is large
C. Both A and B
D. Neither A nor B
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If the regression coefficients are -0.8 and -0.2 then the value of correlation coefficient will be:
A. -0.4
B. +0.4
C. -0.16
D. +0.16
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Under. . . . . . . ., only the first unit of the sample is selected at random and the remaining units are selected at fixed intervals.
A. systematic sampling
B. multi-stage sampling
C. sequential sampling
D. cluster sampling
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The formula to determine the number of classes given by Sturge's Rule is which one of the following?
Where: K = Number of classes; N = Total number of observations
Logarithm of the total number of observations
A. K = 1 + 3.322 (log N)
B. K = (log N) 1.322
C. K = ( Log N ) 1 + 3.322
D. K = ( Log N ) + 1 3.322
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The objects of statistical investigation are decided
A. after the compilation of data
B. before the compilation of data
C. during the compilation of data
D. none of the above
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Sampling is simply the process of learning about the 'population' on the basis of a part of the universe or population called . . . . . . . . drawn from it.
A. parameters
B. statistics
C. sample
D. None of these
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In regression analysis, the variable that is used to explain the change in the outcome of an experiment, or some natural process, is called:
A. the x-variable
B. the independent variable
C. the predictor variable
D. all of the above
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The sum of squares of deviation of 20 observations from their mean is 720 and the mean is 60. The coefficient of variation is:
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