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KPSC-MOCK-TEST Mock Exam

KPSC Mock Test: Statistical Assistant Gr II-Statistical Invesigator Gr II-Computer Operator Gr II in Economics - Statistics

KPSC Mock Test: Statistical Assistant Gr II-Statistical Invesigator Gr II-Computer Operator Gr II in Economics - Statistics

Official Kerala Public Service Commission ONLINE Exam Question Paper & Answer Key. • Name of Post: Statistical Assistant Gr II-Statistical Invesigator Gr II-Computer Operator Gr II in Economics - Statistics • Question Paper Code: 5/2015/OL • Category Number: 165/2012 • Date of Test: 21-04-2015 • Answer Key: Provisional Answer Key Question Paper PDF: https://www.keralapsc.gov.in/sites/default/files/2019-04/fk%205-15-ol.pdf Answer Key PDF: https://www.keralapsc.gov.in/sites/default/files/2018-08/statistical_assistant_gr%20ii_0.pdf

100 Questions
Progress: 0 / 100 Answered
1
S N D P Yogam was established in the year
2
Which one of the following is not a fundamental right ?
3
The Article related with special privilege of Jammu and Kashmir
4
Who was the founder of Sadhu Jana Paripalana Sangham ?
5
The temple entry proclamation of 1936 was issued by
6
The poem 'Jathikkummi' was written by
7
The Malayalam novelist who used the pen name 'Vilasini'
8
Human Rights Day is celebrated on
9
The father of White Revolution in India
10
ISRO Space craft 'Mangalayan' entered in the martian orbit in ____
11
Who is the founder of social networking site 'Facebook' ?
12
In which District Edakkal caves are situated ?
13
Kerala Kalamandalam was established in
14
The Channar agitation is mainly for
15
Who is the author of the drama 'Adukkalyilninnum Arangathekku ' ?
16
Who was the editor of the literary journal 'Vivekodyam' which started publication in Kerala in 1904 ?
17
The father of Library movement in Kerala
18
Who among the following is not related with the 'Abstention movement' ?
19
The Indian who won the Nobel Prize for peace in 2014
20
The Right to Information Act came into force in ____
21
Which measure of location will be suitable to compare heights of students in two classes?
22
The geometric mean of 2, 4, 16 and 32 is
23
The strength of seven colleges in a city are 385,1748,1343,1935,786,2874 and 2108. Then the median strength is
24
The mean and median of 100 items are 50 and 52 respectively. The value of the largest item is 100. It was later found that it is actually 110. Therefore, the true mean is ___ and the true median is _____ .
25
10 is the mean of a set of 7 observations and 5 is the mean of a set of 3 observations. The mean of a combined set is given by
26
A distribution with more than two modes is called
27
The algebraic sum of the deviations of a set of n values from their arithmetic mean is
28
When xix_i and yiy_i are two variables (i=1,2,...,n) with geometric means G1G_1 and G2G_2 respectively then the geometric mean of xiyi\frac{x_i}{y_i} is
29
The mean of the distribution, in which the value of x are 1,2,...,n, the frequency of each being unity is
30
The mean of 20 observations is 15. On checking it was found that two observations were wrongly copied as 3 and 6. If wrong observations are replaced by correct values 8 and 4, then the correct mean is
31
Sum of absolute deviations about median is
32
If each of a set of observations of a variable is multiplied by a constant (non-zero) value, the variance of the resultant variable
33
The standard deviation of a distribution is 5. The value of the fourth central moment μ4\mu_4 in order that the distribution be mesokurtic should be
34
In a frequency curve of scores the mode was found to be higher than the mean. This shows that the distribution is
35
The probability of drawing any one spade card from a pack of cards is
36
A coin is tossed three times in succession, the number of sample points in sample space is
37
A single letter is selected at random from the word 'probability'. The probability that it is a vowel is
38
A number is chosen at random among the first 120 natural numbers. The probability of the number chosen being a multiple of 5 or 15 is
39
If A and B are two independent events, the probability that both A and B occur is 1/81/8 and the probability that neither of them occurs is 3/83/8. The probability of the occurrence of A is
40
An urn contains 9 balls, two of which are red, three blue and four black. Three balls are drawn at random. The chance that they are of the same colour is
41
In the simultaneous tossing of two perfect coins, the probability of having atleast one head is
42
For two events E1,E2E_1, E_2 if P(E1)=1/2,P(E2)=1/3,P(E1∪E2)=2/3P(E_1) = 1/2, P(E_2) = 1/3, P(E_1 \cup E_2) = 2/3 then P(E1∩E2)P(E_1 \cap E_2) is equal to
43
If P(A/B)=1/4P(A/B) = 1/4 and P(B/A)=1/3P(B/A) = 1/3, then P(A)P(B)\frac{P(A)}{P(B)} is equal to
44
If P1(x)P_1(x) and P2(x)P_2(x) be the marginal probability functions of two independent discrete random variables X and Y, then their joint probability function P(x,y)=P(x,y) =
45
The function f(x)f(x) defined as f(x)={∣x∣if −1<x<10elsewheref(x) = \begin{cases} |x| & \text{if } -1 < x < 1 \\ 0 & \text{elsewhere} \end{cases} is a possible
46
For two random variables X and Y, the relation E(XY)=E(X)E(Y)E(XY) = E(X)E(Y) holds good
47
Var(2X±3)Var(2X \pm 3) if Var(X)=1Var(X)=1 is
48
E(X−k)2E(X-k)^2 is minimum when
49
The height of persons in a country is a random variable of the type
50
If X is a random variable, E(etX)E(e^{tX}) is known as
51
The mean and variance of a binomial distribution are 8 and 4 respectively. Then P(X=1)P(X=1) is equal to
52
A probability distribution in which mean is equal to variance is
53
An experiment succeeds twice as often as it fails. The chance that in the next six trials, there shall be atleast four successes is
54
The skewness in a binomial distribution will be zero, if
55
The characteristic function of Poisson distribution is
56
The coefficient of variation of Poisson distribution with mean 4 is
57
If X is a normal variate representing the income in Rs. per day with mean=50 and S.D=10. If the number of workers in a factory is 1200, then the number of workers having income more than Rs. 62.00 per day is (given ϕ(1.2)=0.3849\phi(1.2) = 0.3849 where Z is a standard normal variate)
58
If X∼Exp(5)X \sim Exp(5), then the probability density function of X is
59
The distribution for which mode does not exist is
60
Assume that the height of students is distributed as N(μ,σ2)N(\mu, \sigma^2). Out of a large number of students, 5 percent are above 72 inches and 10 percent are below 60 inches. The mean and S.D. of the normal distribution are (given ϕ(z1)=0.45,z1=1.64,ϕ(z2)=0.4,z2=1.28\phi(z_1)=0.45, z_1=1.64, \phi(z_2)=0.4, z_2=1.28 where ϕ(z)=∫0zf(z)dz\phi(z)=\int_0^z f(z)dz)
61
A box contains 12 items out of which 4 are defective. A person selects 6 items from the box. The expected number of defective items out of his selected items is
62
If X is a normal variate with mean 20 and variance 64, the probability that X lies between 12 and 32 is (Given z : -1.0, 1.5; ϕ(z):0.3143,0.4332\phi(z): 0.3143, 0.4332)
63
If Z is a standard normal variate, the proportion of items lying between z=-0.5 and z=-3.0 is
64
Factorization theorem for sufficiency is known as
65
If the expected value of an estimator is not equal to its parametric function τ(Θ)\tau(\Theta), it is said to be a
66
An estimator TnT_n of θ\theta is said to be more efficient than any other estimator Tn′T'_n of θ\theta if and only if
67
If σ2\sigma^2 is the population variance and s2=1n∑i=1n(Xi−Xˉ)2s^2 = \frac{1}{n} \sum_{i=1}^n (X_i - \bar{X})^2 is the sample variance, then s2s^2 is an unbiased estimate of
68
The sample median is _______________ estimate for the mean of normal population.
69
If a sufficient estimator exists it is a function of the _______ estimator.
70
The credit of inventing the method of moments for estimating the parameter goes to
71
Cramer-Rao inequality with regard to the variance of an estimator provides
72
If X1,X2,...,XnX_1, X_2, ..., X_n is a random sample from a population N(0,σ2)N(0, \sigma^2), the sufficient statistic for σ2\sigma^2 is
73
Estimate and Estimator are
74
The idea of testing of hypothesis was first set forth by
75
A wrong decision about H0H_0 leads to
76
In terms of type II error β\beta and θ\theta, the true parameter, the function 1−β(θ)1-\beta(\theta) is called
77
A population is distributed as N(μ,10.24)N(\mu, 10.24). A sample of 576 items has a mean 4.7. The value of the statistic Z to test H0:μ=5.2H_0: \mu = 5.2 is
78
A sample of 12 specimen taken from a normal population is expected to have a mean 50 mg/cc. The sample has a mean 64 mg/cc with a variance of 25. To test H0:μ=50 vs. H1:μ≠50H_0: \mu = 50 \text{ vs. } H_1: \mu \neq 50, you will use
79
Testing H0:μ=1500H_0: \mu = 1500 against μ<1500\mu < 1500 leads to
80
The mean difference between 9 paired observations is 15.0 and the standard deviation of differences is 5.0. The value of statistic t is
81
Range of statistic t is
82
Given the following eight sample values -4, -3, -3, 0, 3, 3, 4, 4 the value of student's t-statistic to test H0:μ=0H_0: \mu = 0 is
83
In a contingency table, the expected frequencies are computed under
84
The term regression was introduced by
85
If byxb_{yx} and bxyb_{xy} are two regression coefficients they have
86
The lines of regression intersect at the point
87
If a constant 50 is subtracted from each of the value of X and Y, the regression coefficient is
88
If r is the simple correlation coefficient, the quantity r2r^2 is known as
89
The range of simple correlation coefficient is
90
The hypothesis for a specific known value of r can be tested by
91
A measure of linear association of a variable with a number of other variables is known as
92
Given the regression lines X+2Y−5=0X+2Y-5=0, 2X+3Y−8=02X+3Y-8=0 and Var(X)=12\text{Var}(X)=12, the value of Var(Y)\text{Var}(Y) is
93
Given r12=0.6r_{12} = 0.6, r13=0.5r_{13} = 0.5 and r23=0.8r_{23} = 0.8, the value of r12.3r_{12.3} is
94
The sales of a departmental store on Dushera and Diwali are associated with the component of a time series
95
Which index satisfies factor reversal test?
96
Control chart consists of
97
Replication in an experiment means
98
Local control in experimental designs is meant to
99
The number of possible samples of size n out of N population units without replacement is
100
Moving average method of fitting trend in a time series data removes the effect of

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