Option A: Independence Equation
Option B: Sequential Probability Likelihood Equation
Option C: Neyman Pearson Lemma
Option D: Wald’s Equation
Correct Answer: Independence Equation ✔
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Option A: Minimal sufficient statistic
Option B: Sufficient statistic
Option C: Efficient
Option D: Minimax statistics
Correct Answer: Minimal sufficient statistic ✔
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Option A: Sufficient
Option B: Efficient
Option C: Unbiased
Option D: Consistent
Correct Answer: Consistent ✔
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Option A: Consistent
Option B: Sufficient
Option C: Efficient
Option D: Unbiased
Correct Answer: Sufficient ✔
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Option A: Kruskal-Wallis and Wilcoxon tests
Option B: Runs test
Option C: Chi-Square and sign test
Option D: F test
Correct Answer: Kruskal-Wallis and Wilcoxon tests ✔
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Option A: Lower tailed
Option B: Upper tailed
Option C: Either of the above
Option D: None of the above
Correct Answer: Either of the above ✔
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Option A: We count them
Option B: We discard them
Option C: We depends upon the scores
Option D: non of these
Correct Answer: We discard them ✔
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Option A: Ties within one sample may affect the decision
Option B: Ties always affect the decision
Option C: Ties never affect the decision
Option D: Ties between the two sample may affect the decision
Correct Answer: Ties within one sample may affect the decision ✔
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Option A: Data must be measured on the same scale
Option B: Data should be of ordinal scale at least
Option C: Data must be distribution at least approximately as a t-distribution
Option D: Data must be from two independent samples
Correct Answer: Data should be of ordinal scale at least ✔
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Option A: Divided into at least two classifications
Option B: Divided into exactly two classifications
Option C: Quantitative
Option D: Qualitative
Correct Answer: Divided into exactly two classifications ✔
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Option A: One way analysis of variance (ANOVA)
Option B: Spearman Rank difference
Option C: Wilcoxon Rank-Sum test
Option D: Kruskal-Wallis test
Correct Answer: Kruskal-Wallis test ✔
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Option A: Samples are independent
Option B: Samples have same mean
Option C: Sample are dependent
Option D: The Wilcoxon Signed Rank test is used
Correct Answer: Sample are dependent ✔
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Option A: Sample are dependent
Option B: The assumption of normality is not met
Option C: Sample sizes are small
Option D: Data are paired
Correct Answer: The assumption of normality is not met ✔
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Which of the following is a true statement for comparing the t distribution with standard normal ?
Option A: Greater the degree of freedom, the more the t-distribution resembles the standard normal distribution
Option B: The Normal Curve is symmetrical whereas the t-distribution are slightly skewed.
Option C: The proportion of area beyond a specific value of “t” is less than the proportion of normal curve
Option D: Non of these
Correct Answer: Greater the degree of freedom, the more the t-distribution resembles the standard normal distribution ✔
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Option A: Symmetrical
Option B: None of these
Option C: Same as Normal Curve
Option D: Skewed
Correct Answer: Symmetrical ✔
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Option A: The sample are drawn from a normally distributed population.
Option B: The variance of the population is known
Option C: All above
Option D: s (sample standard deviation) is an unbiased estimate of the population variance.
Correct Answer: The sample are drawn from a normally distributed population. ✔
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Option A: Herbicide A is more effective than Herbicide B
Option B: Herbicide A is not more effective than Herbicide B
Option C: Herbicide B is more effective than Herbicide A
Option D: Herbicide B is not more effective than Herbicide A
Correct Answer: Herbicide B is not more effective than Herbicide A ✔
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Option A: Standard Deviation
Option B: Mean
Option C: mean Square Error
Option D: Variance
Correct Answer: Variance ✔
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Option A: Consistency
Option B: All Above
Option C: Unbiasedness
Option D: Efficiency
Correct Answer: All Above ✔
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Option A: stating H1
Option B: stating Ho
Option C: L of significance
Option D: Test statistics
Correct Answer: stating Ho ✔
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Option A: Q ≤ Qo
Option B: Q ≥ Qo
Option C: Q = Qo
Option D: Q ≠ Qo
Correct Answer: Q ≠ Qo ✔
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Option A: Rejected when it is true
Option B: Rejected when it is false
Option C: Accepted when it is true
Option D: Accepted when it is false
Correct Answer: Accepted when it is false ✔
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Option A: Composite hypothesis
Option B: Alternative hypothesis
Option C: Null hypothesis
Option D: Simple hypothesis
Correct Answer: Null hypothesis ✔
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Option A: P±2.18√p2q2/n
Option B: P±1.65(pq/n)
Option C: P±1.96 p2q2/√n
Option D: P±1.96√p2q2/n
Correct Answer: P±1.96√p2q2/n ✔
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Option A: Sampling
Option B: Probability distribution
Option C: Regression
Option D: Statistical Inference
Correct Answer: Statistical Inference ✔
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Option A: Estimate
Option B: Estimator
Option C: Probability
Option D: Numerical
Correct Answer: Estimate ✔
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Option A: Increase
Option B: Decrease
Option C: Sampling
Option D: Population
Correct Answer: Population ✔
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Option A: Point estimator
Option B: C.I.
Option C: Estimator
Option D: None of these
Correct Answer: Point estimator ✔
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Option A: Normal because is always approximately normally distributed
Option B: Normal because the sample size is small in comparison to the population size
Option C: Normal because of the central limit theorem
Option D: None of these alternatives is correct.
Correct Answer: Normal because of the central limit theorem ✔
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Option A: Standard error of statistics
Option B: Sampling error of statistics
Option C: Sampling distribution of statistics
Option D: None of these
Correct Answer: Standard error of statistics ✔
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Option A: Sometimes normal for all sample sizes
Option B: Sometimes normal for large sample sizes
Option C: Always normal for all sample sizes
Option D: Always normal for large sample sizes
Correct Answer: Always normal for large sample sizes ✔
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Option A: Probabilistic sampling
Option B: Stratified sampling
Option C: No probabilistic sampling
Option D: Cluster sampling
Correct Answer: No probabilistic sampling ✔
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Option A: Random digit
Option B: Stratification
Option C: Random Sampling
Option D: Cluster
Correct Answer: Stratification ✔
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Option A: Increases the Standard error
Option B: Decreases the Standard error
Option C: Decreases the Standard error
Option D: Both (a) and (b)
Correct Answer: Both (a) and (b) ✔
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Option A: Increasing the sample size
Option B: Decreasing the sample size
Option C: Increasing population s.d.
Option D: None of these
Correct Answer: Increasing the sample size ✔
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Option A: Only once
Option B: More than once
Option C: Less than once
Option D: None
Correct Answer: More than once ✔
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Option A: Point
Option B: w.r.m
Option C: w.o.r
Option D: unit
Correct Answer: w.o.r ✔
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Option A: Systematic
Option B: Cluster
Option C: Stratified
Option D: Judgment
Correct Answer: Judgment ✔
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Option A: Biased sampling
Option B: Non-prob.sampling
Option C: Less than sampling
Option D: Representative sampling
Correct Answer: Non-prob.sampling ✔
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A sampling distribution is the probability distribution for which one of the following__________?
Option A: A sample
Option B: A sample statistic
Option C: A population
Option D: A population parameter
Correct Answer: A sample ✔
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Option A: Random sampling
Option B: Non-random sampling
Option C: Prob.Sampling
Option D: Sampling with replacement
Correct Answer: Non-random sampling ✔
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Option A: Sampling
Option B: Parameter
Option C: Data
Option D: Sampling distribution
Correct Answer: Sampling ✔
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Option A: Group
Option B: Finite
Option C: Un-finite
Option D: Correction
Correct Answer: Finite ✔
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Option A: Sampling process
Option B: Sampling unit
Option C: Sampling
Option D: Size
Correct Answer: Sampling ✔
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Option A: Non-random sampling
Option B: Increasing the population
Option C: Decreasing the sample size
Option D: Increasing the sample size
Correct Answer: Increasing the sample size ✔
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Option A: Increasing the sample size
Option B: Reduced the amount of data
Option C: Decreasing the sample standard deviation
Option D: None of these
Correct Answer: Reduced the amount of data ✔
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Option A: Population distribution is normal
Option B: μ1 = μx
Option C: Population distribution is uniform
Option D: σx = σx /√n
Correct Answer: Population distribution is normal ✔
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Option A: Simple random sampling
Option B: Systematic sampling
Option C: Quota sampling
Option D: Census
Correct Answer: Census ✔
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Option A: Destructive tests
Option B: Heterogeneous data
Option C: To make voters lists
Option D: None of these
Correct Answer: To make voters lists ✔
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Option A: Same as the standard error of the mean
Option B: Difference between the value of the sample mean and the value of the population mean
Option C: Error caused by selecting a bad sample
Option D: Standard deviation multiplied by the sample size
Correct Answer: Difference between the value of the sample mean and the value of the population mean ✔
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Option A: Sample
Option B: Data
Option C: Population
Option D: None
Correct Answer: Sample ✔
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Option A: Approximately normal because is always approximately normally distributed
Option B: Approximately normal because the sample size is large in comparsion to the population size
Option C: Approximately normal because of the central limit theorem
Option D: Normal if the population is normally distributed
Correct Answer: Normal if the population is normally distributed ✔
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Option A: Approximately normal because the sample size is small relative to the population size
Option B: Approximately normal because of the central limit theorem
Option C: Exactly
Option D: None of these alternatives is correct
Correct Answer: None of these alternatives is correct ✔
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Option A: Bias
Option B: Standard
Option C: Sampling error
Option D: both (a) and (b)
Correct Answer: Sampling error ✔
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Option A: 26/√n√N – n/N – 1
Option B: σ/√n√N – n/N – 1
Option C: 26/√n N – n/N – 1
Option D: 26/√n
Correct Answer: 26/√n ✔
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Option A: Serious error
Option B: Dispersion
Option C: Standard error
Option D: Difference
Correct Answer: Standard error ✔
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Option A: Unknown
Option B: Large
Option C: Small
Option D: Know
Correct Answer: Know ✔
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Option A: Four
Option B: Six
Option C: Three
Option D: Seven
Correct Answer: Four ✔
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Option A: Sampling frame
Option B: Sampling units
Option C: Sample pop
Option D: Sample design
Correct Answer: Sampling units ✔
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Option A: Only Once
Option B: More than once
Option C: Less than once
Option D: None of these
Correct Answer: Only Once ✔
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Option A: Only when the sample size is at least 100.
Option B: Only when the sample size is smaller than 30
Option C: Always
Option D: Only when the sample size is at least 30.
Correct Answer: Always ✔
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Option A: Independent
Option B: Associated
Option C: Dis-associated
Option D: None of these
Correct Answer: Associated ✔
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Option A: Less than observed
Option B: Greater than observed
Option C: Equal to observed
Option D: None of these
Correct Answer: Less than observed ✔
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Option A: (0)
Option B: +1
Option C: -1
Option D: non of these
Correct Answer: +1 ✔
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Option A: Disassociation
Option B: In consistent
Option C: Associated
Option D: None of these
Correct Answer: Associated ✔
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Option A: Constant
Option B: Discreade
Option C: Variable
Option D: Continuous
Correct Answer: Variable ✔
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Option A: γyx
Option B: -γyx
Option C: γx
Option D: γo2
Correct Answer: γyx ✔
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Option A: Dichotomy
Option B: Capital
Option C: Tracheotomy
Option D: Attribute
Correct Answer: Tracheotomy ✔
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Option A: Random table
Option B: Contingency table
Option C: Dichotomy table
Option D: Chi-square table
Correct Answer: Contingency table ✔
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Option A: r + c
Option B: rc
Option C: ι r – c ι
Option D: (r -1) (c -1)
Correct Answer: (r -1) (c -1) ✔
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Option A: 6x < 6y
Option B: 6y < 6x
Option C: 6x = 6y
Option D: Non of These
Correct Answer: 6x = 6y ✔
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Option A: √.96
Option B: √-.96
Option C: 0
Option D: None of these
Correct Answer: None of these ✔
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Option A: +vely
Option B: Non-normal
Option C: Symmetrical
Option D: Skewed
Correct Answer: Symmetrical ✔
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Option A: Increasing by 6
Option B: Decreasing by 6
Option C: No change
Option D: Non of these
Correct Answer: Decreasing by 6 ✔
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Option A: Origin
Option B: Dependence
Option C: Independence
Option D: None
Correct Answer: Independence ✔
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Option A: A.M.
Option B: G.M.
Option C: M.D.
Option D: H.M.
Correct Answer: G.M. ✔
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Option A: Random
Option B: Fixed
Option C: Non-random
Option D: Experimental
Correct Answer: Random ✔
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Option A: Parameter
Option B: Independent variable
Option C: Error term
Option D: Non of these
Correct Answer: Parameter ✔
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Option A: Different
Option B: Same
Option C: None of these
Option D: +ve
Correct Answer: Same ✔
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Option A: +1
Option B: -1
Option C: 0
Option D: Non of these
Correct Answer: -1 ✔
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Option A: 0 ≤ r ≤ 1
Option B: 0 ≤ r ≤ -1
Option C: -1 ≤ r ≤ 1
Option D: 1 ≤ r ≤ 0
Correct Answer: -1 ≤ r ≤ 1 ✔
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Option A: Zero
Option B: Less than zero
Option C: More than zero
Option D: Great
Correct Answer: Zero ✔
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Option A: Dependent
Option B: Independent
Option C: Scale
Option D: Both
Correct Answer: Independent ✔
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Option A: (x,y)
Option B: (X,Y)
Option C: (X,Z)
Option D: x/y
Correct Answer: (X,Y) ✔
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Option A: The mean and variance of the distribution are same (equal)
Option B: The probability of success is always greater than 5
Option C: The number of trials is always less than 5
Option D: it always contains a contingency table
Correct Answer: The mean and variance of the distribution are same (equal) ✔
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Option A: It must have a value between 0 and 1
Option B: It can be reported as a decimal or a fraction
Option C: A value near 0 means that the event is not likely to occur/happens
Option D: It is the collection of several experiment
Correct Answer: It is the collection of several experiment ✔
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Option A: Independent
Option B: Mutually exclusive
Option C: Bayesian
Option D: Empirical
Correct Answer: Independent ✔
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Option A: 4/36
Option B: 13/36
Option C: 21/36
Option D: 15/36
Correct Answer: 15/36 ✔
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. If the occurrence of one event means that another cannot happen, then the events are __________?
Option A: Independent
Option B: Mutually Exclusive
Option C: Bayesian
Option D: Empirical
Correct Answer: Mutually Exclusive ✔
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Option A: 5
Option B: 5×5
Option C: 1
Option D: None of these
Correct Answer: 1 ✔
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Option A: 1.2.3.4,………
Option B: 1.2.3……(n-2) (n-1) (n)
Option C: n. (n-1) (n-2)…………..3.2.1.0
Option D: None of these
Correct Answer: B. 1.2.3……(n-2) (n-1) (n) ✔
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