The Odisha CPET 2025 Statistics question paper is now available with detailed solutions for free download. The Common PG Entrance Test (CPET) 2025 was conducted by the State Selection Board (SSB), Higher Education Department, Government of Odisha, and the Statistics paper carried 100 questions in 80 minutes.

Odisha CPET 2025 Statistics Question Paper with Solutions Download PDF Check Solutions

Odisha CPET 2025 Statistics Questions with Solutions

Question 1:

The statements below relate to Bayes theorem in probability:

(i) Bayes theorem gives a formula to compute conditional probability.
(ii) The posterior probability computed by Bayes theorem supersedes the prior probability.
(iii) Bayes theorem can be used to compute probabilities of past events on the basis of the occurrences of subsequent events.

Identify the correct answer:

  • (A) All these statements are true.
  • (B) Only (i) and (ii) are true.
  • (C) Only (i) and (iii) are true.
  • (D) Only (ii) and (iii) are true.

Question 2:

If \(P(A) = 0.25\), \(P(B|A) = 0.5\), \(P(B|\bar{A}) = 0.75\) then \(P(A|B)\) is ______.

  • (A) \(\dfrac{1}{2}\)
  • (B) \(\dfrac{1}{3}\)
  • (C) \(\dfrac{3}{8}\)
  • (D) \(\dfrac{2}{11}\)

Question 3:

Three functions \(F_1(x)\), \(F_2(x)\) and \(F_3(x)\) are defined below:

(i) \(F_1(x) = 0\), for all \(x \in (-\infty, +\infty)\)
(ii) \(F_2(x) = 1\), for all \(x \in (-\infty, +\infty)\)
(iii) \(F_3(x) = 0\), for all \(x \le 0\) and \(F_3(x) = 1\), for all \(x > 0\)

Which of the above functions is a distribution function of a random variable?

  • (A) \(F_1(x)\) only
  • (B) \(F_2(x)\) only
  • (C) \(F_3(x)\) only
  • (D) None of these

Question 4:

If a random variable \(X\) has mean 3 and standard deviation 5, then the variance of \(Y = 2X - 5\) is:

  • (A) 45
  • (B) 100
  • (C) 10
  • (D) 40

Question 5:

Three numbers \(X\), \(Y\), \(Z\) are randomly drawn from the set \(\{1, 2, 3, 4\}\). \(E(XYZ)\) is equal to:

  • (A) \(15\dfrac{5}{8}\)
  • (B) \(12\dfrac{1}{2}\)
  • (C) 12
  • (D) \(13\dfrac{1}{8}\)

Question 6:

A cold drinks bottling plant produces 1% defective bottles. The probability that there will be no defective in a lot of 100 bottles is nearest to:

  • (A) 0.250
  • (B) 0.325
  • (C) 0.375
  • (D) 0.400

Question 7:

For a uniform distribution in the range \([0, k]\), the mean and the variance are equal if:

  • (A) \(k = 1\)
  • (B) \(k = 2\)
  • (C) \(k = 4\)
  • (D) \(k = 6\)

Question 8:

For a normal distribution variance of mean V(Mean) and variance of median V(Median), which of the following is true?

  • (A) V(Median) < V(Mean)
  • (B) V(Median) = V(Mean)
  • (C) V(Median) > V(Mean)
  • (D) V(Median) &times; 1.57 = V(Mean)

Question 9:

Which of the following units of measurement does not measure a continuous variable?

  • (A) Kilogram
  • (B) Minute
  • (C) Centimeter
  • (D) Rupee

Question 10:

The mean GPA for all students in Statistics at a certain college in the odd semester was 2.77. A student with a GPA of 2.0 wants to know her relative standing relation to the mean GPA. A numerical summary that would be useful for this purpose is the:

  • (A) Standard deviation
  • (B) Median
  • (C) Interquartile range
  • (D) Number of students at the college

Question 11:

The random variable \(X\) represents the number of girls in a family of three children. Assuming that boys and girls are equally likely, what are the mean and standard deviation for the random variable \(X\)?

  • (A) Mean: 1.50; standard deviation: 0.87
  • (B) Mean: 1.50; standard deviation: 0.76
  • (C) Mean: 2.25; standard deviation: 0.87
  • (D) Mean: 2.25; standard deviation: 0.76

Question 12:

A variable that interferes with other variables in the study is called:

  • (A) An explanatory variable
  • (B) An outcome variable
  • (C) A confounding variable
  • (D) An interfering variable

Question 13:

In a university, 50% of the students choose a movie, 30% choose dinner and a play, and 20% choose shopping as a leisure activity. If a sample of 5 students is randomly selected, what is the probability that 3 are planning to go to a movie, 1 to a play, and 1 to a shopping mall?

  • (A) 0.04
  • (B) 0.15
  • (C) 0.01
  • (D) None of these

Question 14:

The board of examiners that administers the real estate broker's examination in a certain state found that the mean score on the test was 493 and the standard deviation was 72. If the board wants to set the passing score so that only the best 10% of all applicants pass, what is the passing score? Assume that the scores are normally distributed.

  • (A) 400.73
  • (B) 585.27
  • (C) 550.75
  • (D) 425.12

Question 15:

A local country club has a membership of 600 and operates facilities that include an 18-hole championship golf course and 12 tennis courts. Before deciding whether to accept new members, the club President would like to know how many members regularly use each facility. A survey of the membership indicates that 61% regularly use the golf course, 45% regularly use the tennis courts, and 3% use neither of these facilities regularly. What percentage of the 600 uses at least one of the golf or tennis facilities?

  • (A) 97%
  • (B) 3%
  • (C) 103%
  • (D) 9%

Question 16:

If \(X_1\) and \(X_2\) are two independent random variables having identical N(0, 1) distribution, then \(P(X_1^2 + X_2^2 \le 2)\) equals:

  • (A) \(e^{-1}\)
  • (B) \(e^{-2}\)
  • (C) \(1-e^{-1}\)
  • (D) \(1-e^{-2}\)

Question 17:

Let X and Y be i.i.d. binomial random variables with parameters n and 0.5 and let Z be another binomial random variable with parameters 2n and 0.5. Then, \(P(X = Y)\) equals to:

  • (A) \(P(Z=0)\)
  • (B) \(P(Z=n)\)
  • (C) \(P(Z=2n-1)\)
  • (D) \(P(Z=n+1)\)

Question 18:

Let \(X\) and \(Y\) be independently distributed Poisson random variables such that \(P[X=1]=P[X=2]\), \(P[Y=3]=P[Y=4]\). Then the variance of \((2X-Y)\) is:

  • (A) 6
  • (B) 12
  • (C) 8
  • (D) 16

Question 19:

What is the probability of getting seventh head in the tenth toss of an unbiased coin?

  • (A) \(21/256\)
  • (B) \(15/128\)
  • (C) \(21/128\)
  • (D) \(15/256\)

Question 20:

The following frequency distribution is known as:

ClassesFrequency
0 - 103
0 - 208
0 - 3014
0 - 4020
0 - 5025

  • (A) Continuous frequency distribution
  • (B) Discrete frequency distribution
  • (C) Cumulative distribution in more than type
  • (D) Cumulative distribution in less than type

Question 21:

A marketing research company needs to estimate which of two medical plans its employees prefer. A random sample of \(n\) employees produced the following 98% confidence interval for the proportion of employees who prefer plan A: \((0.241, 0.561)\). What is a good point estimate for estimating the true proportion of employees who prefer that plan?

  • (A) 0.16
  • (B) 0.241
  • (C) 0.401
  • (D) 0.561

Question 22:

Two samples are randomly selected from each population. The sample statistics are given below:

Use \(\alpha = 0.05\). \(n_1 = 50, \bar{x}_1 = 21, s_1 = 1.5\) and \(n_2 = 60, \bar{x}_2 = 19, s_2 = 1.9\).
What is the standardized test statistic to test the hypothesis that \(\mu_1 = \mu_2\)?

  • (A) 8.1
  • (B) 4.2
  • (C) 6.2
  • (D) 3.8

Question 23:

The data below are the temperatures on randomly chosen days during the summer and the number of employee absences at a local company on those days. What is the 95% confidence interval about the slope of the true least-squares regression line, for the data given below?
Temperature (x)Number of absences (y)
723
857
9110
9010
888
9815
754
10015
805

  • (A) \((0.371, 0.527)\)
  • (B) \((0.367, 0.530)\)
  • (C) \((-1.760, 2.658)\)
  • (D) \((0.385, 0.513)\)

Question 24:

Year-wise production of rice, wheat and maize for the last ten years can be displayed by:

  • (A) Simple column chart
  • (B) Sub-divided column chart
  • (C) Broken bar diagram
  • (D) Multiple column chart

Question 25:

Which can be the median among quartile, decile and percentile?

  • (A) Only quartile but not decile and percentile
  • (B) Quartile and decile but not percentile
  • (C) Decile and percentile but not quartile
  • (D) Quartile, decile and percentile, all the three

Question 26:

Harmonic mean gives more weightage to :

  • (A) Small values
  • (B) Large values
  • (C) Positive values
  • (D) Negative values

Question 27:

The average marks of section A are 65 and that of section B are 70. The average of both the sections combined is 67. The ratio of the number of students of section A to B is :

  • (A) 1 : 3
  • (B) 2 : 3
  • (C) 3 : 1
  • (D) 3 : 2

Question 28:

If the mean deviation of a distribution is 20.20, the standard deviation of this distribution is :

  • (A) 15.15
  • (B) 25.25
  • (C) 30.39
  • (D) None of these

Question 29:

Which of the following is the biggest advantage of simple random sampling ?

  • (A) Less sampling variance
  • (B) Freedom from human Bias
  • (C) Always gives a representative sample
  • (D) Can be used for large populations

Question 30:

A researcher divided subjects into two groups according to gender and then selected members from each group for her sample. What sampling method was the researcher using ?

  • (A) Cluster
  • (B) Stratified
  • (C) Random
  • (D) Systematic

Question 31:

Which of the following problems is not related to stratified sampling?

  • (A) Fixing the criterion for stratification
  • (B) Fixing the number of strata
  • (C) Fixing the sample size
  • (D) Fixing the points of demarcation between strata

Question 32:

Which of the following makes cluster sampling more efficient?

  • (A) By selecting clusters of small sizes
  • (B) Choosing clusters having more variation among the units within a cluster
  • (C) Choosing clusters having very less variation among the units within a cluster
  • (D) By selecting clusters of large sizes

Question 33:

If the population size is 24,000 and the sample size is 400, and \(p = 0.7\), what is the sampling distribution of the sample proportion \(\hat{p}\)?

  • (A) Exactly Normal with \(\hat{p} = 0.7\) and \(\sigma_{\hat{p}} = 0.023\)
  • (B) Approximately Normal with \(\hat{p} = 0.7\) and \(\sigma_{\hat{p}} = 0.0935\)
  • (C) Approximately Normal with \(\hat{p} = 0.7\) and \(\sigma_{\hat{p}} = 0.023\)
  • (D) Exactly binomial with \(\mu_{\hat{p}} = 289\) and \(\sigma_{\hat{p}} = 9.17\)

Question 34:

Which of the following sampling technique uses auxiliary information at pre-selection stage?

  • (A) Stratified random sampling
  • (B) Systematic sampling
  • (C) Cluster sampling
  • (D) Two-stage sampling

Question 35:

The following two statements are about the use of stratified sampling for finite population:

Assertion (I): Sampling error of an estimator can always be reduced by using stratified sampling following principle of stratification.
Reason (II): Stratified sampling under optimal allocation for a fixed sample size reduces the mean square error of the estimator.
Which of the following is the correct explanation?

  • (A) Both (I) and (II) are true but (II) is not the correct explanation for (I)
  • (B) Both (I) and (II) are true but (II) is the correct explanation for (I)
  • (C) Only (I) is true but (II) is false
  • (D) Both (I) and (II) are false

Question 36:

The decision regarding the number of replications in an experimental design is taken basing on:

  • (A) The degree of precision required
  • (B) Amounts of experimental materials
  • (C) Heterogeneity of the experimental field
  • (D) All of these

Question 37:

Randomization is a process which enables the experimenter to:

  • (A) Take a decision about degree of precision required
  • (B) Decide the shape and size of the plots
  • (C) Eliminate heterogeneity of the experimental field
  • (D) Eliminate the human bias

Question 38:

Error sum of squares in RBD as compared to CRD using the same material is:

  • (A) More
  • (B) Less
  • (C) Equal
  • (D) Not comparable

Question 39:

The formula for estimating one missing value in a randomized block design having \(b\) blocks and \(k\) treatments with usual notations is:

  • (A) \[\dfrac{bT' + kB' - G'}{(b-1)(k-1)}\]
  • (B) \[\dfrac{bT' + bT' - G'}{(b-1)(k-1)}\]
  • (C) \[\dfrac{bT' + kB' - kG'}{(b-1)(k-2)}\]
  • (D) \[\dfrac{bB' + kT' - G'}{(b-1)(k-1)}\]

Question 40:

Which of the following is not a treatment contrast among three treatments?

  • (A) \(T_1 + 2T_2 - 3T_3\)
  • (B) \(T_1 - T_2\)
  • (C) \(T_1 - 2T_2 + T_3\)
  • (D) \(T_1 + T_2 + T_3\)

Question 41:

Factorial experiments are:

  • (A) Symmetric experimental designs
  • (B) Orthogonal experimental designs
  • (C) Complete experimental designs
  • (D) Not experimental designs

Question 42:

The method of confounding is a device to reduce the size of :

  • (A) Experimental materials
  • (B) Replications
  • (C) Blocks
  • (D) Treatments

Question 43:

In a \(2^n\) factorial, all effects and their sum of squares can be obtained directly at a stretch by :

  • (A) Yates' method
  • (B) Modulo technique
  • (C) Both (A) and (B)
  • (D) Neither (A) nor (B)

Question 44:

If different effects are confounded in different blocks, it is said to be :

  • (A) Complete confounding
  • (B) Partial confounding
  • (C) Balanced confounding
  • (D) None of these

Question 45:

Rao-Blackwell theorem enables us to obtain minimum variance unbiased estimator through :

  • (A) An unbiased statistic
  • (B) A sufficient statistic
  • (C) A complete statistic
  • (D) An efficient statistic

Question 46:

If S(x) is any sufficient statistic and M(x) is a minimal sufficient statistic for the parametric function \(\tau(\theta)\), then which of the following is not correct for M(x) ?

  • (A) M(x) takes the minimum value among all the sufficient statistics S(x)
  • (B) M(x) takes the minimum variance among all the sufficient statistics S(x)
  • (C) M(x) is capable of eliminating irrelevant information to maximum extent among all S(x)
  • (D) M(x) gives maximum information about \(\tau(\theta)\) among all the sufficient statistics S(x)

Question 47:

If \(t_n\) is an efficient estimator of the population mean \(\mu\), then :

  • (A) Var(\(t_n\)) tends to 0 as \(n \to \infty\)
  • (B) Var(\(t_n\)) becomes equal to \(\sigma^2\) for large sample size n
  • (C) \(t_n\) converges to \(\mu\) as \(n \to \infty\)
  • (D) None of these

Question 48:

A test which maximizes the power of the test for fixed size \(\alpha\) is called as :

  • (A) Bayes test
  • (B) Likelihood ratio test
  • (C) Randomized test
  • (D) Optimal test

Question 49:

The Neyman-Pearson Lemma can be used to test the hypothesis :

  • (A) \(H_0 : \mu = 4, \sigma = 1\)
  • (B) \(H_0 : \mu = 4, \sigma > 1\)
  • (C) \(H_0 : \mu = 0, \sigma \neq 1\)
  • (D) All of these

Question 50:

The degree of freedom for the statistic \(t\) for paired \(t\)-test based on \(n\) pairs of observations is :

  • (A) \(2n - 1\)
  • (B) \(n - 1\)
  • (C) \(2(n - 1)\)
  • (D) \(n - 2\)

Question 51:

In a Wald-Wolfowitz run test with large sample size, the test statistic \(R\) is distributed with mean:

  • (A) \(\dfrac{2mn}{m+n} + 1\)
  • (B) \(\dfrac{m+n}{mn} + 2\)
  • (C) \(\dfrac{mn}{m+n} + 2\)
  • (D) \(\dfrac{m+n}{2mn} + 1\)

Question 52:

The test statistic for testing the significance of Spearman's rank correlation coefficient \((r_s)\) is :

  • (A) \(t = \dfrac{r_s\sqrt{n-2}}{\sqrt{1-r_s^2}}\)
  • (B) \(t = \dfrac{r_s\sqrt{n-1}}{\sqrt{1-r_s^2}}\)
  • (C) \(t = \dfrac{\sqrt{1-r_s^2}}{r_s}\sqrt{n-1}\)
  • (D) \(t = \dfrac{\sqrt{1-r_s^2}}{r_s}\sqrt{n-2}\)

Question 53:

The probable error of correlation coefficient \((r)\) is used for :

  • (A) Measuring the magnitude of error in \(r\)
  • (B) Testing the significance of \(r\)
  • (C) Both (A) and (B) are correct
  • (D) Neither (A) nor (B) is correct

Question 54:

The hypothesis of \(H_0: \rho = \rho_0\) (a constant) can be tested by making use of the transformation:

  • (A) \(Z = \dfrac{1}{2}\log\left(\dfrac{1+\rho}{1-\rho}\right)\)
  • (B) \(Z = \log_{10}\left(\dfrac{1-\rho}{1+\rho}\right)\)
  • (C) \(Z = \log_{10}\left(\dfrac{1+\rho}{1-\rho}\right)\)
  • (D) \(Z = \dfrac{1}{2}\log\left(\dfrac{1-\rho}{1+\rho}\right)\)

Question 55:

If \(Y = mX + 4\) and \(X = 4Y + 5\) are the regression lines of Y on X and X on Y respectively, then m lies between the values:

  • (A) 0 and 1
  • (B) 0 and 0.5
  • (C) 0 and 0.25
  • (D) -1 and 1

Question 56:

If the correlation coefficient between two variables X and Y is 0.5, then the correlation coefficient between \(Z = 3X - 2\) and \(W = 2 - 3Y\) is:

  • (A) 0.5
  • (B) 0.15
  • (C) -0.15
  • (D) -0.5

Question 57:

In case of three attributes A, B and C, the class frequency \((\alpha B \gamma)\) (that is, B present, A and C absent) in terms of other class frequencies is:

  • (A) \((AB) + (AC) - (B) - (ABC)\)
  • (B) \((ABC) - (B) + (AB) - (BC)\)
  • (C) \((ABC) - (A) - (C) + (B)\)
  • (D) \((B) - (AB) - (BC) + (ABC)\)

Question 58:

If for two attributes A and B, \(N = 140\), \((A) = 100\), \((B) = 105\) and \((AB) = 25\), the attributes A and B are:

  • (A) Dependent
  • (B) Positively associated
  • (C) Negatively associated
  • (D) Independent

Question 59:

The relation between the Yule's coefficient Q and colligation coefficient Y is:

  • (A) \(Q = Y/(1-Y^2)\)
  • (B) \(Y = Q/(1+Q^2)\)
  • (C) \(Q = 2Y/(1+Y^2)\)
  • (D) \(Y = 2Q/(1+Q^2)\)

Question 60:

The general decline in the sales of cotton clothes is attached with:

  • (A) Secular trend.
  • (B) Cyclical component.
  • (C) Seasonal component.
  • (D) Change of choice of the youth.

Question 61:

Out of a number of models fitted to a time series data, the best model can be adjudged by:

  • (A) The estimates of the parameters
  • (B) The value of the residual sum of squares
  • (C) Chi-square test for goodness of fit
  • (D) Estimated values under the model

Question 62:

Time series analysis could not help us to:

  • (A) Understand the past behavior of a variable
  • (B) Predict the future behavior of a variable
  • (C) Plan for future operations
  • (D) Take advance precautions for the irregular component

Question 63:

Which of the following method is not used to calculate seasonal indices in a time series?

  • (A) Least square method
  • (B) Link relative method
  • (C) Variate difference method
  • (D) Moving average method

Question 64:

Which of the following is not a problem in construction of a price index number?

  • (A) Selecting the number of investigators for collecting price/quantity data
  • (B) Selecting the price of commodities
  • (C) Selecting the number of commodities to be included
  • (D) All of these

Question 65:

The price index as arithmetic mean of Laspeyre's and Paasche's indices was expounded by:

  • (A) Irving Fisher
  • (B) Karl Pearson
  • (C) Kelly
  • (D) Drobish and Bowley

Question 66:

Laspeyre's index number formula possesses:

  • (A) Downward bias
  • (B) Upward bias
  • (C) No bias
  • (D) Nothing can be said

Question 67:

Marshall and Edgeworth price index number utilizes the weights as:

  • (A) Quantities of the base year
  • (B) Quantities of the current year
  • (C) Quantities of both base and current years
  • (D) Prices of both base and current years

Question 68:

If the old series is connected with the new series of index numbers, it is known as:

  • (A) Base shifting
  • (B) Backward splicing
  • (C) Forward splicing
  • (D) None of the above

Question 69:

R - charts are preferable over \(\sigma\) - charts because:

  • (A) Both of these fluctuate together in case of small samples
  • (B) R is easily calculated
  • (C) R charts are economical
  • (D) All of these

Question 70:

The relation between the expected value of R and standard deviation \(\sigma\) is given by:

  • (A) \(E(R) = d_1 \sigma\)
  • (B) \(E(R) = d_2 \sigma\)
  • (C) \(E(R) = D_1 \sigma\)
  • (D) \(E(R) = D_2 \sigma\)

Question 71:

A defect in an item is classified as minor if:

  • (A) It stops the function of the process but it is identifiable
  • (B) It does not significantly impact the product's performance or usability.
  • (C) It can be rectified during production process
  • (D) Precautions can be taken before it happens during manufacturing

Question 72:

A curve showing the probability of accepting a lot of quality p is known as:

  • (A) OC curve
  • (B) ASN curve
  • (C) ATI curve
  • (D) AOQL curve

Question 73:

The decision about the acceptance or rejection of a lot through a single inspection plan is reached by considering:

  • (A) The acceptance outgoing quality level
  • (B) The number of defectives in the sample and the sample size
  • (C) The number of defectives in the sample and the acceptance number
  • (D) The number of defectives in the sample and the population

Question 74:

Expected sample size of SPRT is a/an:

  • (A) Outgoing quality limit
  • (B) Standard of outgoing quality
  • (C) Average sample number
  • (D) Outgoing sample number

Question 75:

Fertility rates mainly depend on:

  • (A) Total female population
  • (B) Total number of live births
  • (C) Female population of child bearing age
  • (D) Number of pregnant females

Question 76:

The death rate of women due to delivery of babies is termed as:

  • (A) Fetal death rate
  • (B) Maternal mortality rate
  • (C) Still birth rate
  • (D) Infant mortality rate

Question 77:

Standardized death rates are particularly useful for:

  • (A) Comparing death rates of males and females
  • (B) Comparing death rates at different ages among women only
  • (C) Comparing death rates of two regions
  • (D) Comparing death rates of two female populations of two different age groups

Question 78:

A population having constant size and composition is called a:

  • (A) Stable population
  • (B) Stationary population
  • (C) Fixed population
  • (D) Continuous population

Question 79:

The probability \(q_x\) of dying of a person between the age interval \(x\) and \((x+1)\), and the central mortality rate \(m_x\) are related as:

  • (A) \(q_x = 2m_x / (2 - m_x)\)
  • (B) \(q_x = 2m_x / (2 + m_x)\)
  • (C) \(q_x = m_x / (2 - m_x)\)
  • (D) \(q_x = m_x / (2 + m_x)\)

Question 80:

Which of the following expressions of the multivariate normal density function describes the shape of the density curve?

  • (A) \((2\pi)^{-p/2}|\Sigma|^{-1/2}\)
  • (B) \(|\Sigma|^{-1/2}\exp\left[-\frac12(x-\mu)'\Sigma^{-1}(x-\mu)\right]\)
  • (C) \((x-\mu)'\Sigma^{-1}(x-\mu)\)
  • (D) \(|\Sigma|^{-1/2}\)

Question 81:

Given that \(X \sim N_3(\mu_1, \Sigma)\), where \(\mu_1 = (0\ 1\ 0)'\) and \(Y \sim N_3(\mu_2, \Sigma)\), where \(\mu_2 = (0\ -1\ 0)'\), then which of the following statements are true?
Statement 1: \((X+Y)^2\) has a central Chi-square distribution.
Statement 2: \((X-1)^2 + (Y+1)^2\) has a central Chi-square distribution.

  • (A) Both the statements 1 and 2 are true.
  • (B) Only 1 is True but 2 is false.
  • (C) Only 2 is True but 1 is false.
  • (D) Both the statements 1 and 2 are false.

Question 82:

Given that \(X=(X_1\ X_2\ X_3)' \sim N_3(\mu, \Sigma)\), where \(\mu=(0\ 0\ 0)'\) and \(\Sigma = \begin{pmatrix}1 & 0 & 0\\0 & 4 & -1\\0 & -1 & 1\end{pmatrix}\).
Which of the following is true?

  • (A) The components of \(X\) are independent.
  • (B) \(X_1\) is independent of \(X_2\) and \(X_3\)
  • (C) \(X_2\) is independent of \(X_1\) and \(X_3\)
  • (D) \(X_3\) is independent of \(X_1\) and \(X_2\)

Question 83:

Given that \(X=(X_1\ X_2\ X_3)' \sim N_3(\mu,\Sigma)\), where \(\mu=(0\ 0\ 0)'\) and \(\Sigma=\begin{pmatrix}1 & 1 & 0\\1 & 4 & 1\\0 & 1 & 4\end{pmatrix}\). The correlation coefficient between \(X_2\) and \(X_3\) is given by:

  • (A) 0.25
  • (B) 0.5
  • (C) 1
  • (D) -1

Question 84:

If \(A\) is a \(3\times 3\) non-zero matrix such that \(A^2=0\), then the number of non-zero eigen values of \(A\) is:

  • (A) 0
  • (B) 1
  • (C) 2
  • (D) 3

Question 85:

Consider a Markov Chain with transition probability matrix \(P = \begin{pmatrix}0 & 1 & 0\\0.5 & 0 & 0.5\\0 & 1 & 0\end{pmatrix}\) with state space \(S=\{0,1,2\}\). Then:

  • (A) All the states are aperiodic (period 1)
  • (B) All the states are periodic with period 2
  • (C) All the states are transient
  • (D) All the states are null

Question 86:

Which of the following is essential for completely specifying a Markov Chain?

  • (A) Transition probability matrix with state space
  • (B) Transition probability matrix with initial distribution
  • (C) Both initial and final distributions
  • (D) Stochastic process

Question 87:

A square matrix with non-negative elements and unit row sums is called as a:

  • (A) Stochastic matrix
  • (B) Positive definite matrix
  • (C) Unitary matrix
  • (D) All of these

Question 88:

Consider a Markov Chain with state space \(S = \{0, 1\}\) and the transition probability matrix \(P = \begin{pmatrix} 1 & 0 \\ 0.5 & 0.5 \end{pmatrix}\). What is the value of \(P^{(2)}_{10}\)?

  • (A) 1
  • (B) 0.5
  • (C) 0.75
  • (D) 0

Question 89:

For real numbers x and y, we write \(xRy \iff x - y + \sqrt{2}\) is an irrational number. Then the relation R is:

  • (A) Reflexive and symmetric but not transitive
  • (B) Symmetric and transitive but not reflexive
  • (C) Reflexive and transitive but not symmetric
  • (D) Reflexive but not symmetric and transitive

Question 90:

The derivative of \(\dfrac{1}{\sin x}\) with respect to \(\cos x\) is:

  • (A) \(\sec x \tan^2 x\)
  • (B) \(\cot x \csc^2 x\)
  • (C) \(\tan x \sec^2 x\)
  • (D) \(\csc x \cot^2 x\)

Question 91:

The second derivative of \(f(\log x)\) where \(f(x) = \log x\) is:

  • (A) \(\dfrac{x}{\log x}\)
  • (B) \(-(x\log x)^{-2}(\log x+1)\)
  • (C) \((x\log x)^{-2}\)
  • (D) None of these

Question 92:

Which of the following statements is incorrect?

  • (A) A basis for a vector space need not be unique.
  • (B) A basis for a vector space is necessarily unique.
  • (C) If each vector of a vector space is a linear combination of elements of a subset of the vector space where the subset is linearly independent, then the subset is called a basis set of the vector space.
  • (D) One of the statements given above is correct.

Question 93:

Read the following statements and find out which of these statements is/are correct:

I. If \(\alpha, \beta, \gamma\) are three linearly independent vectors in \(V(F)\) then \(\alpha+\beta\), \(\beta+\gamma\) and \(\gamma+\alpha\) are also linearly independent.
II. The vectors \(2x^3+x^2+x+1,\ x^3+3x^2+x-2,\ x^3+2x^2-x+3\) of \(V_4(R)\) are linearly independent.

  • (A) Only I is correct
  • (B) Only II is correct
  • (C) Both I and II are incorrect
  • (D) Both I and II are correct

Question 94:

If \(A\) is a \(3\times 3\) matrix and \(B\) is its adjoint matrix, the determinant of \(B\) is \(64\), then what is the determinant of \(A\)?

  • (A) \(\pm 8\)
  • (B) \(\pm 6\)
  • (C) \(\pm 9\)
  • (D) \(\pm 64\)

Question 95:

The value of \[\begin{vmatrix} a+pd & a+qd & a+rd \\ p & q & r \\ d & d & d \end{vmatrix}\] is:

  • (A) 0
  • (B) \(-1\)
  • (C) 1
  • (D) \(p+q+r\)

Question 96:

If \(A = \begin{bmatrix} 5 & 0 & -2 \\ 0 & 1 & 0 \\ -4 & 0 & -1 \end{bmatrix}\) and \(I\) is the \(3 \times 3\) unit matrix, then the rank of \(I - A\) is:

  • (A) 0
  • (B) 1
  • (C) 2
  • (D) 3

Question 97:

The series \(\dfrac{1}{2} - \dfrac{2}{3}\cdot\dfrac{1}{2^3} + \dfrac{3}{4}\cdot\dfrac{1}{3^3} - \dfrac{4}{5}\cdot\dfrac{1}{4^3} + \cdots\) is:

  • (A) Conditionally convergent
  • (B) Absolutely convergent
  • (C) Divergent
  • (D) None of the above

Question 98:

The function \(f(x) = x^5 - 5x^4 + 5x^3 - 1\) has:

  • (A) One minimum and one maximum
  • (B) Two minima and one maxima
  • (C) Two minima and two maxima
  • (D) None of the above

Question 99:

Consider the Assertion (A) and Reason (R) given below:
Assertion (A): \(\displaystyle\int_0^t \sin x\, dx = 1 - \cos t\)
Reason (R): \(\sin x\) is continuous in any closed interval \([0, t]\).

  • (A) Both A and R are true and R is the correct explanation of A
  • (B) Both A and R are true and R is not the correct explanation of A
  • (C) A is true but R is false
  • (D) A is false but R is true

Question 100:

In a central difference table, which of the following is correct?

  • (A) The origin \(x_0\) is the first argument in the series.
  • (B) The origin \(x_0\) is the last argument in the series.
  • (C) The origin \(x_0\) is the intermediary value in the series.
  • (D) The origin \(x_0\) is the equal distance from the first and last arguments of the series.

Odisha CPET 2025 Statistics Exam Pattern and Marking Scheme Explained

The Statistics paper (Subject Code 44, Test Booklet UB-44/18) followed a straight single-booklet MCQ format, and the syllabus was drawn entirely from the undergraduate Statistics curriculum as per the official SAMS Odisha bulletin.

  • Total questions: 100 MCQs, each with 4 options (A to D)
  • Duration: 80 minutes
  • Total marks: 100
  • Marking scheme: +1 for a correct answer, -0.25 for a wrong one
  • Question types: theory-based single-answer MCQs, numerical/formula-based MCQs, and a few assertion-reason and statement-based questions

High-Weightage Topics in Odisha CPET 2025 Statistics to Focus On First

Going by the actual 2025 paper, four areas together made up more than half the 100 questions.

  • Probability and distribution theory (Bayes theorem, binomial/Poisson/normal distributions, multivariate normal) - 15 of the 100 questions
  • Sampling theory and its allied topics (sampling distributions, acceptance sampling, non-parametric tests) - 12 questions
  • Design of experiments (RBD, CRD, confounding, missing plot technique) - 9 questions, the single biggest individual topic
  • Correlation and regression - 7 questions
  • Index numbers and vital statistics - 5 questions each
  • Linear algebra and calculus (matrices, vector spaces, derivatives) carried over from the general core paper - 7 questions

Odisha CPET 2025 Statistics Question Paper Analysis Video

Source: MISS ROUT

How to Use the Odisha CPET Statistics Question Paper for Practice

Treat this paper as a timed mock before you touch the next one.

  • Attempt all 100 questions in 80 minutes first, exactly as it was conducted
  • Check your score against the +1/-0.25 marking scheme, not just the raw correct count
  • Review every wrong answer with the solution PDF, then redo just those questions after a day
  • Repeat the design-of-experiments and sampling-theory sets separately since they carried the most questions

Odisha CPET Statistics Good Attempts and Qualifying Score Benchmark

  • The overall Odisha CPET 2025 general-category qualifying cutoff (entrance score plus academic weightage) was 75.32 out of 100
  • A score of 45-59 out of 100 on a single subject paper is treated as a good score, and 60 and above as a strong one
  • With -0.25 negative marking, guessing on unfamiliar design-of-experiments or index-number questions costs more than skipping them

Odisha CPET 2025 Statistics Question Paper FAQs

Ques. How many questions were there in the Odisha CPET 2025 Statistics paper and what was the marking scheme?

Ans. The paper had 100 MCQs to be attempted in 80 minutes, with +1 mark for every correct answer and -0.25 for every wrong one, for a total of 100 marks.

Ques. Which topics had the highest weightage in Odisha CPET 2025 Statistics?

Ans. Probability and distribution theory led with 15 of the 100 questions, followed by sampling theory and its allied topics with 12, and design of experiments alone with 9 - the single biggest individual topic on this paper.

Ques. What is a good score in the Odisha CPET Statistics paper?

Ans. A score of 45-59 out of 100 is considered a good score for a single subject paper, and 60 and above is considered strong; the overall CPET 2025 general-category qualifying cutoff was 75.32 out of 100 on the combined merit score.

Ques. Is there negative marking in Odisha CPET Statistics?

Ans. Yes, 0.25 marks are deducted for every wrong answer, so guessing on a design-of-experiments or index-number question you are unsure of costs more than leaving it unattempted.

Ques. Where can I download the Odisha CPET 2025 Statistics question paper with solutions PDF for free?

Ans. You can download both the question paper and the full solved solutions PDF for free from the table above on Collegedunia; the official previous-year papers are also hosted on the SAMS Odisha portal at pg.samsodisha.gov.in.

Ques. Who conducts the Odisha CPET exam?

Ans. Odisha CPET is conducted by the State Selection Board (SSB), Higher Education Department, Government of Odisha, with registration and previous papers hosted on the SAMS Odisha portal (pg.samsodisha.gov.in).