List of practice Questions

Thamnidium chaetocladioides in meat produces:

Match the LIST-I with LIST-II

LIST-I	LIST-II
A. Plague	IV. Yersinia pestis
B. Anthrax	I. Bacillus anthracis
C. Syphilis	II. Treponema Pallidum
D. Malaria	III. Plasmodium spp.

Match the LIST-I with LIST-II

LIST-I	LIST-II
A. Lathyrism	IV. Beta oxalyl amino alanine (Khesri dal)
B. Endemic ascites	I. Pyrrolizidine alkaloids (Jhunjhunia seeds contaminating Gondhli)
C. Salmonellosis	III. Bacterial disease
D. Hepatitis A and E	II. Viral disease

Match the LIST-I with LIST-II

According to the National Immunisation Schedule, OPV (oral polio vaccine) contains how many types of Poliovirus?
A. Type 1
B. Type 2
C. Type 3
D. Type 4

According to National Immunisation Schedule, OPV (oral polio vaccine) contains how many types of Poliovirus?
A. Type 1
B. Type 2
C. Type 3
D. Type 4

Match the LIST-I with List-II

LIST-I	LIST-II
A. BCG	III. Live attenuated
B. Rabies	II. Killed whole organism
C. Tetanus	I. Toxoid
D. Pneumococcus	IV. Polysaccharide

Match List-I with List-II

LIST-I	LIST-II
A. Bhore	III. All India Health Service on the pattern of IAS
B. Mudaliar	I. Primary Health Units with 75 bedded hospitals for 10-20000 population
C. Chadah	IV. One Primary Health Centre for the population of 50000
D. Kartar Singh	II. One basic health worker per 10000 population

Match indicators of health (List-I) with their Classification (List-II)

LIST-I	LIST-II
A. Notification rates	II. Morbidity Indicators
B. Population-bed ratio	III. Health-care delivery Indicators
C. Case-fatality rate	I. Mortality Indicators
D. Rate of population increase	IV. Socio-economic Indicators

Match the LIST-I with LIST-II

LIST-I	LIST-II
A. Isolation	IV. Separation for the period of communicability of infected persons
B. Quarantine	II. Limitation of freedom of movements of well person exposed to communicable disease for a period of longest incubation period of the disease to prevent transmission of infection to those not exposed to infection
C. Elimination	I. Interruption in transmission of disease
D. Eradication	III. Termination of all transmission of infections by extermination of infectious agents

According to Bio-Medical Waste Management Rules, 2016, match LIST-I with LIST-II

LIST-I	LIST-II
A. Yellow	IV. Syringes with fixed needles
B. Blue	II. Broken glassware like vials and ampules
C. Red	I. Soiled Dressings and plaster cast
D. White	III. Intravenous tubes and catheters

Match List-I with List-II

LIST-I	LIST-II
A. Anopheles	I. Malaria
B. Aedes	III. Chikungunya fever
C. Culex	II. Japanese Encephalitis
D. Mansonides	IV. Brugian Filiariasis

A random variable X has a distribution with density function
\( f(x;\beta) = \begin{cases} (\beta+1)x^\beta; & 0<x<1; \beta>-1 \\ 0; & \text{otherwise} \end{cases} \) Based on 'n' observations on X, Maximum Likelihood Estimator (MLE) of \(\beta\) is

Consider a 2x2 matrix \(A = \begin{bmatrix} a & b \\ c & d \end{bmatrix}\). If \(a+d=1\) and \(ad-bc=1\), then \(A^3\) is equal to

The system of equations given by \( \begin{bmatrix} 1 & 1 & 1 & : & 3 \\ 0 & -2 & -2 & : & 4 \\ 1 & -5 & 0 & : & 5 \end{bmatrix} \) has the solution:

Consider the probability density function \( f(x;\theta) = \begin{cases} \frac{2x}{5\theta} & ; 0 \le x \le \theta \\ \frac{2(5-x)}{5(5-\theta)} & ; \theta \le x \le 5 \end{cases} \) For a sample of size 3, let the observations are, \( x_1 = 1, x_2 = 4, x_3 = 2 \). Then, the value of likelihood function at \( \theta=2 \) is

If, \(1 \le x \le 1.5\) is the critical region for testing the null hypothesis \(H_0: \theta=1\) against the alternative hypothesis \(H_1: \theta=2\) on the basis of a single observation from the population, \( f(x;\theta) = \begin{cases} \frac{1}{\theta} & ; 0 \le x \le \theta \\ 0 & ; \text{otherwise} \end{cases} \), then the power of the test, is

Let X have a probability density function of the form, \( f(x;\theta) = \begin{cases} \frac{1}{\theta} e^{-x/\theta} & ; 0<x<\infty, \theta>0 \\ 0 & ; \text{otherwise} \end{cases} \) To test null hypothesis \(H_0: \theta = 2\) against the alternate hypothesis \(H_1: \theta = 1\), a random sample of size 2 is taken. For the critical region \(W_0 = \{(x_1, x_2) : 6.5 \le x_1 + x_2\}\), the power of the test is

If X is a random variable such that,
\(P(X \le x) = \begin{cases} 0 & ; x<0 \\ 1-e^{-x\theta} & ; x \ge 0 \end{cases}\)
based on 'n' independent observations on X, the Maximum Likelihood Estimator (MLE) of E(X) is

The regression coefficient of Mumbai prices over Kolkata prices from the following table, is:

	Mumbai (₹)	Kolkata (₹)
Average price (per 5 kg)	120	130
S.D.	4	5
Correlation coefficient	0.6
N (Sample size)	100

From a set of data involving four "tropical feed stuffs A, B, C and D", tried on 20 chicks, the following information was extracted:

\[ \begin{array}{|l|c|c|} \hline \textbf{Source of variation} & \textbf{Sum of squares} & \textbf{Degrees of freedom} \\ \hline \text{Treatment} & 26000 & 3 \\ \text{Error} & 11500 & 16 \\ \hline \end{array} \]

All the 20 chicks were treated alike, except for the feeding treatment, and each feeding treatment was given to 5 chicks. Then, the critical difference between any two means is:

It is given that there are six treatments and four blocks,

\[ \begin{array}{|l|cccccc|} \hline \textbf{Treatment totals} & T_1 & T_2 & T_3 & T_4 & T_5 & T_6 \\ & 63 & 65 & 57 & 64 & 65 & 66 \\ \hline \textbf{Block totals} & B_1 & B_2 & B_3 & B_4 & & \\ & 90 & 85 & 106 & 98 & & \\ \hline \end{array} \]

and that \( G = \sum_i \sum_j y_{ij} = 380 \), then the sum of squares due to treatment is:

For the given ANOVA table:

\[ \begin{array}{|l|c|c|} \hline \textbf{Source of variation} & \textbf{Sum of squares} & \textbf{Degrees of freedom} \\ \hline \text{Service station} & 6810 & 9 \\ \text{Rating} & 400 & 4 \\ \text{Total} & 9948 & 49 \\ \hline \end{array} \]

The test statistic to test that there is no significant difference between the service stations is:

An oxygen cylinder of volume 30 litre has 18.20 moles of oxygen. After some oxygen is withdrawn from the cylinder, its gauge pressure drops to 11 atmospheric pressure at temperature \(27^\circ\)C. The mass of the oxygen withdrawn from the cylinder is nearly equal to: [Given, \(R = \frac{100}{12} \text{ J mol}^{-1} \text{K}^{-1}\), and molecular mass of \(O_2 = 32 \text{ g/mol}\), 1 atm pressure = \(1.01 \times 10^5 \text{ N/m}^2\)]

When sec-butylcyclohexane reacts with bromine in the presence of sunlight, the major product is: