## Biostatistics MCQs

Question | Option A | Option B | Option C | Option D | Correct Option |
---|---|---|---|---|---|

For rare events ……. Probability distribution is used | normal | poisons | binomial | continuous | 2 |

The trials which results in either success or failure are are knows as | experiments | probability trials | Bernoulli trials | normal trials | 3 |

The chance of occurrence of an event in random trials is called as | frequency | variable | probability | probability distribution | 3 |

Set of all possible outcomes of an random experiment is called as | sample space | favorable events | exhaustive events | null events | 1 |

In tossing a coin for one time,the events head and tail are | sure events | null events | equally likely events | impossible events | 4 |

In a trials if there are only two outcomes are possible , then for such trials ……. Probability distribution is used. | normal | poisons | binomial | none of these | 3 |

Conditional probability is used for | dependent events | independent events | sure events | null events | 1 |

Formula for addition law of probability is | p(AUB)=P(A)/P(B) | P(AUB) = P(A)+P(B) | P(AUB) = P(A)XP(B) | P(AUB) = P(B)/P(A) | 2 |

If two or more than two events can not occur simultaneously, then such events are called as | mutually exclusive events | dependent events | impossible events | independent events | 2 |

The curve of continuous probability distribution is always | bell shaped | symmetrical | Both A and B | asymmetrical | 3 |

The probability distribution of discrete variable is usually represented in | graphical form | formula form | tabular form | None of these | 2 |

Real number associated with the outcomes of an random experiments is called as | random variable | probability | value | none of these | 1 |

Number of insect , number of plant etc. are the example of variable | continuous random | discrete event | Both A and B | none of these | 3 |

In case of normal probability distribution | mean < variance | mean = variance | mean = median = mode | variance > mean | 3 |

Continuous random variable is used to represent | countable data | measurable data | Both A and B | none of these | 4 |

Plant height , seed weight etc. are the example of ……… variable | continuous random variable | discrete random variable | Both A and B | none of these | 1 |

If X follows N(μ,1) then mean and variance is | 0 and 1 | 1 and 1 | μ and 1 | none of these | 3 |

Parameter of binomial distribution is | n and p | p and q | only p | only n | 1 |

Relation between mean and variance of poison’s distribution | mean < variance | mean = variance | variance > mean | mean = 2variance | 2 |

If x follows expxo(5) , the probability density function of x is | 5e-5x for x>0 | e-5x for x>0 | 5e-x for x>0 | 1/5 e-5x for x>0 | 1 |

The range of normal distribution is | 0 to 1 | –finity to + infinity | 0 to infinity | – infinity to 0 | 2 |

if x follows G(λ,n) mean of gamma distribution is | n/λ | λ/n | n | 2 | |

which distribution is continuous distribution | Poisson | binomial | normal | none of the above | 3 |

mean and standard deviation of the series 4,4,4,4,4,4,4, are | 0 and 4 | 4 and 0 | 4 and 4 | 0 and 0 | 2 |

which of the following are probability vectors | 0.5,0.5 | 0.5,0.5,0.5 | 0,0,0,1,0 | 1,6,1,2,1,3 | 1 |

Which of the following is not correct | an absorbing state is recurrent | an ergodic state is recurrent | recurrent state is periodic | an absorbing state is aperiodic | 3 |

for a markov chain xn with state space S.pij=p[xn+1=j/xn=i] for all i,j€S,then | pij are called n step transition probabilities. | pij are called (j-i) step transition probabilities. | pij are called step transition probabilities of order n | pij are called one step transition probabilities from state I to j. | |

If in a block the number of units is less than the number of treatment s, then the block is said to be | complete | incomplete | unit < treatment,block | insufficient block | 2 |

{Xt,t€T} is a stochastic process. If the joint distribution of xt1,xt2,........xtn and Xt1+h,xt2+h.........xtn+h. Is same for all h>0;then x(t) is | weak stationary process | strong stationary process | process with independent inccrements | Markov process | 4 |

) If arrival are according to Poisson process then distribution of inter arrival time is, | gamma | chi-square | exponential | normal | 1 |

If {N1(t)} and {N2(t)} are two independent Poisson process with rates t1 and t2 respectively then N1(t) –N2(t) is a ... | Poisson process with rate t1+t2 | Poisson process with t1-t2 | Poisson process with t1/t2 | Not a Poisson process | 1 |

If p{xn+1=k/xn=j} =pjk its mean means | one step transition probability | two step transition probability | m- step transition probability | none step transition probability | 1 |

Condition of transition matrix is | pjk is greater than equal to zero | sum of pjk = 1 for all j | sum of pjk= 1 for all k | all of the above | 4 |

The possible value of random variable xn of stochastic process {xn;n>1} is called ... | state | state space | both a and b | none of the above | 1 |

) {Xn;n= 0,1,2,3,.....} is a example of ..... | continuous state space | discrete state space | both a and b | none of the above | 2 |

State j is said to be accessible from state i, is called | accessibility | transitivity | class of state | any of the above | 1 |

If C(i) not equal to S then. where C is a proper closed subset of sets. | irreducible Markov chain | reducible markav chain | both a and b | none of these | 2 |

which of the following statement is wrong | a finite markav chain can not have all transient | a finite irreducible chain has all state recurrent | both are wrong | both are true | 4 |

When data are homogeneous the which test is useful | t- test | F- test | chi - Square test | Z- test | 3 |

) Calculated value of chi-square is greater than the tabulate value then | hypothesis is accept | hypothesis is reject | hypothesis is accept as well as reject | any of the above | 2 |

for a symmetric random walk,probability p of positive jump is | 0.25 | 0.5 | 1 | none of these | 3 |

The state space and time domain for random walk model are .. | discrete and discrete | discrete and continuous | continuous and discrete | continuous and continuous | 3 |

Recurrent state is also called as ... | a) ergodic | Persistent | transient | none of these | 1 |

All entries of transition probability matrix are always .... | positive | non-negative | integer | none of these | 2 |

The major difference between the chi-square test of homgenenity and the chi-square test of independence is the | number of categories | sample size | method of sampling | size of chi-square statistics | 3 |

which test is appropriate for determining whether a random digit generator is truly random in terms of the proportion of each digit is produces | the chi-square goodness of fit test | the chi-square test of homogeneity | the chi-square test of heterogeneity | None of the above | 2 |

Which of the following is not a necessary condition of hardy-weinberg equilibrium | no natural selection | migration of individuals | large population | random mating | 2 |

) All of the following are important aspect of hardy-weinberg equilibrium Except | mating patterns | population size | migration | temperature | 4 |

which of the following conditions are required for a population to be in hardy-weinberg equilibrium ? | large population | no gene flow between population | random mating | d) all of these | 4 |

The genotypic ratio of a monohybrid cross is | 1:2:1 | 3:01 | 2:01:01 | 9:3:3:1 | 1 |

if a plant with genotype AaBb is self-fertilized,the probability of getting AABB genotype will be (A and B are not linked) | 2-Jan | 1/4 | 8-Jan | 1/16 | 4 |

The tendency of an offspring to resemble its parent is konw as | variation | heredity | resemblance | inherit deance | 2 |

9:7 ration in the F2 generation represents | incomplete dominance | co- dominance | epistasis? | complementry interaction | 3 |

Under what conditions randomised design is a suitable approach of experiment design | a) population is large | when population is highly heterogeneous | when population is approximately homogeneous? | all of the above | 3 |

Which statistical measures in ANOVA? | z score | t value | F ratio | chi-square | 3 |

Which of the following statistical measurement that must be included while reporting an ANOVA | F- Statistics | dregrees of freedom and p- value | c) means | all of the above | 1 |

How many dependent variable are present in two way ANOVA | 2 | 3 | 1 | 5 | 3 |

which of the following statement are true with regard to the analysis of variance for two population | they have identical variance | they should follow normal distribution | both a and b | none of the above | 3 |

analysis of variance is astatistical method of computing the ..... Of several population | standard deviations | variance | proportion? | none of these above | 3 |

The ......sum of square measure the variability of the observed value around their respective treatment mean. | treatment | error? | interaction | total | 2 |

when conducting an ANOVA ,F will always fall within what range | between negative infinity to infinity | between 0 to 1 | between 0 and infinity? | between 1 to infinity | 3 |

If F ratio is 0.9 the result is statistically significant | always | sometimes | never | none of these | 4 |

As variability dhe to the cahnce decrease ,the value of F will be | increase | stay the same | decrease | can't tell from the given information | 1 |

The error deviation within the SSE statistic measure distance | within group | between group | both a and b | none of the above | 1 |

If X~b(n,p) the distribution of y= (n-x) is | b(n,1) | b(n,x) | b(n,p) | b(n,q) | 4 |

A family of parametric distribution having mean <,=,> variance is | gamma distribution | exponential distribution | logistics distribution | all the above | 4 |

For a normal curve, the Q.D,M.D and S.D are in the ration | 5:06:07 | 10:12:15 | 2:3:4 | none of the above | 2 |

) X is a binomial variate with parameters n and p.if n=1,the distribution of X reduces to | Poisson distribution | binomial distribution | Bernoulli distribution | discrete uniform distribution | 3 |

A box contain 12 item out of which 4 are defective . A person selects 6 item from the box.the expected number of defective number of defective items out of selected items is | 2 | 3 | 3/2 | none of the above | 1 |

If x~(8,64), the standard normal deviate z will be | X-64/8 | X-8/64 | X-8/8 | 8-x/8 | 3 |

If a random variable X has mean 3 and standard deviation 5, then the variance of the variable y= 2x-5 is | 25 | 45 | 100 | 50 | 3 |

if binomial random variable has mean= 4 and variance = 3, then its third central moment is : | 1/9 | b) 2/3 | 5/12 | 1/3 | 4 |

A Poisson random variable has fourth moment is 4, the value of its mean is | a) 1/3 | b) 2/3? | c) 1/4 | 3/4 | 2 |

A normal random variable has mean is 2 and variance is 4. Its fourth central moment will be | 16 | 64 | 80 | 48 | 4 |

) let X~N(mean,variance ) then the central moments of odd order are | one | zero? | infinite | positive | 2 |

The number of parameters in a multinomial distribution having k classes and n observation is | n+1 | K+1 | n-k | n+k | 2 |

The outcome of tossing a coin three times are a variable of the type | continuous random variable | discrete random variable | neither discrete nor continuous random variable | discrete as well as continuous | 2 |

The height of person in a country is random variable of the type: | continuous r.v | discrete r.v | neither discrete nor continuous r.v | continuous as well as discrete r.v | 1 |

) A table with all possible value of a random variable and it's corresponding probability is called | probability mass function | probability density function | cumulative distribution function | probability distribution | 4 |

Out of the following values, which one is not possible in probability | 0.2 | 0.9 | c) 0.5 | -0.5 | 4 |

Probability is expressed as | ratio | proportion | percentage | all the above | 4 |

Classical probability is also konw as | laplaces probability | mathematical probability | a priori probability | all the above | 4 |

The probability of all possible outcome of a random experiment is always equals to | infinity | zero | one | none of the above | 3 |

If A is an event, the conditional probability of A given A is equals to | zero | one | infinite | indeterminate quantity | 2 |

If an event B has occurred and it is konw that p(B)= 1, the conditional probability p(A/B) is equal to | P(A) | P(B) | one | zero | 1 |

the probability of two persons being borned on the same day is | a) 1/49 | b) 1/365 | c) 1/7? | d) none of the above | 3 |

Probability of impossible event is | 1 | 0 | -1 | not define | 2 |

An event consisting of those elements which are not in A is called | primary event | derived event | simple event | complementry event | 4 |

The idea of posteri probabilities was introduced by | Pascal | Peter and Paul | Thomas Bayes | M.loeve | 3 |

The limiting relative frequency approach of probability is konwn is | statistical probability | classical probability | mathematical probability | all the above | 1 |

2^k in factorials design menas K factors each at any | two levels | two treatment | two value | two parameters | 1 |

If A and B be any two events which are independent then … | p(B/A)=P(B) | P(A/B)=P(A) | both 1 & 2 | None of these | 3 |

The events that are influenced by chance are called …. Events | impossible | random | certain | All the above | 2 |

Values of continuous random variable are obtained by ….. | counting | measurement | finite | countably infinite | 2 |

The conditional probability P(Ei/A) is called….. Probability | priori | posteriori | hypotheses | conditional | 2 |

Mean of uniform function is…. | a-b/2 | a+b/2 | (b-a+1)^2 -1 | 2a+b | 2 |

All values of the random variable have the …. Constant probability | different | same | non | None of these | 2 |

The density function integrates to….. | 0 | unity | 2 | infinity | 2 |

The expected value and variance of a….. Distrubuted r.v are both equal . | poisson | binominal | normal | gamma | 1 |

Parameters of binomial distrubutions are…. | n&p | p&q | n | p | 1 |

The curve representing the normal distrubutions is called…. | probability curve | curve | normal | None of these | 3 |

Continious probability distrubutions is ….. Distrubutions | normal | binominal | poisson | gamma | 1 |

The normal curve is ….. | bell shaped | tringular | rectangular | circular | 1 |

Sum of independent exponential random variable lamda result in …… | uniform random variable | binominal r.v | gamma r.v | normal r.v | 3 |

Random mating is one of the requirement for ….. | hardy-weinberg law | mendels law | law of segregation | law of dominance | 1 |

In sex linkage, reciprocal cross yeild identical result | TRUE | FALSE | remain same | None of these | 2 |

In a matrix of transition probability the element aij where i=j is ….. | gain | loss | retention | None of these | 3 |

In a matrix of transition probability the probability values should add up to one in each | row | column | diagonal | All the above | 1 |

Specificity is also know as …… | true negative rate | true positive rate | true rate | false rate | 1 |

For the chi-square test to be effective the expected values for each cell in the contingency table has to be at least | 3 | 5 | 10 | 2 | 2 |

Contingency tables and degree of freedom are key elements of the chi-square test | true | FALSE | remain same | None of these | 1 |

The only people who likely would be genetically identical are …… twins | monozygotic | dizygotic | both 1 & 2 | None of these | 1 |

What is the maximum percentage of recombination frequency between two genes? | 75% | 100% | 50% | 25% | 2 |

The inheritance of new combinations of alleles in children result from …… | puberty | recombinations | genetic linkage | None of these | 2 |

What is the unit of linkage map? | morgan | centimorgan | centimeter | angstrom | 2 |

If the true means of the k populations are equal then MSTR/MSE should be | close to 1 | close to -1 | negative value betn 0&1 | more than 1.00 | 1 |

The ……. Sum of squares measures the variable of the observed values around their respective treatment means | error | total | treatment | interaction | 1 |

As variability due to chance decreses the value of F will | decrease | same | increase | can't tell | 3 |

2k in factorial design means k factors each at any | two levels | two treatments | two values | two parameters | 1 |

What do ANOVA calculate | chi-square | F- ratios | t- scores | R ratios | 2 |

If in a block the numbers of units is less than the numbers of treatments S then the block is said to be | complete | incomplete | unit < treatment block | insufficient block | 2 |

A BIBD is said to be symmetrical if no. of blocks = | no.of factors | no. of treatments | no. of levels | no. of degree of factor | 2 |

The ….. Sum of squares measures the variability of sample treatments means around the overall mean | error | interactions | total | treatments | 4 |

There are two types of designs systematic design and …… | random design | GLSD | spilt plot design | BIBD | 1 |

If the MSE of an ANOVA for six treatment groups is known you can compute | pooled standard deviation | standard deviation of each treatment group | dfi | All the above | 1 |

Random variables are classified into ….. | discrete r.v | continious r.v | both 1 & 2 | None of these | 3 |

p.d.f means ….. | probability density function | distribution function | probability function | only density function | 1 |

Applications of Bayes theorem are…… | valuating depression tests performance | probability theory to electrolytic reaction | predicting environmental damage | All the above | 4 |

Trial of random experimental is called ….. If it has only two possible outcomes that is success or failures | poissontrial | normal trial | gamma | bernoulli trial | 4 |

The variance of binomial distrubutions is …… | var(x)=np | var(x)=pq | var(x)=npq | None of these | 3 |

The mean of binomial distrubutions is ….. | E(x)=npq | E(x)=pq | E(x)=np | E(x)=2p | 3 |

Applications of poisson distrubutions are | quality control | no. of succesfull sale | new job applicants either accepts offer or rejects | the count of bacteria per c.c in blood | 4 |

Normal distrubutions is also know as ….. | normal law | laplacian | gaussian | All the above | 4 |

…….. Are parameters of normal distrubutions | mean | standard deviation | mean and standard deviation | None of these | 3 |

The Hardy- weinberg principle also known as ….. | hardy-weinberg equilibrium | model theorem | both 1 & 2 | None of these | 3 |

Genes of sex linked characters are located on | chromosome 18 | chromosome13 | chromosome14 | sex chromosome | 4 |

This condition is essential for a population to be in hardy- weignberg equilibrium | random mating | no mutations | large population | All the above | 4 |

The expected value of discrete random variable is ……. | E(X)=X1P1+X2P2+….+XnPn | E(X)=X1+X2+…..+Xn | E(X)=P1+P2+……+Pn | X1P1-X2P2-….-XnPn | 1 |

Let E and F be events of a sample spaces S of an experiment then…… | P(S/F)=P(F/F)=1 | P(E'/F)=1-P(E/F) | both 1 & 2 | only 1 | 3 |

If P(A)=7/13 , P(B)=9/13 and P(A∩B)=4/13 then P(A/B)=…… | (4/9) | (9/4) | (13/7) | (13/4) | 1 |

Roll a die and let X be the upward face showing what is a mean ? | (2/7) | (2/3) | (7/2) | (2/5) | 3 |

Given X∼B(n,p) , if n=10 and p= 0.4 then Var(X) =…… | 4 | 2.2 | 2.4 | 2 | 3 |

The expected frequency of X=0 is F(0) =….. | N | N x p(0) | p(0) | N+p(0) | 2 |

Parameter of poisson distribution is ….. | λ | X | both 1 & 2 | None of these | 1 |

The expected value of an exponentially distributed r.v. X with rate parameter θ is … | 1/θ^2 | 1/θ | θ | All the above | 2 |

The variance of an exponentially distributed r.v. with rate parameter θ is | 1/θ^2 | 1/θ | θ | None of these | 1 |

Γ(1/2)=…… | π | √π | 2π | √2π | 2 |

If X ∼ Gamma(α,λ) then mean of X is ….. | α/λ | λ/α | λ | α | 1 |

Γ(n)=…. | n! | (n-1)! | n(n-1)! | n | 2 |

…….. Is a scientific field concerned with the development of statistical methods for drawing interference from genetic data | Statistics | statistical genetics | genetics | None of these | 2 |

In Markov analysis we are concerned with the probability that the | state is part of system | system is in a particular state at given time | time has reached a steady state | transition will occur | 2 |

……. Is a processs a model or rule to generate path sequence of random motion . | Random walk | steadt walk | Race walk | Brisk walk | 1 |

Sensitivity is also called as ….. | true negative rate | true positive rate | true rate | false rate | 2 |

A random walk is mathematical object known as .. | Stochastic process | random process | both 1 & 2 | None of these | 3 |

The null hypothesis is the chi-square test states that … | The row & columns in the table are associated | The row & columns in the table are not associated | Neither of the two | None of these | 2 |

The data obtained by enumeration or counting is called ….. data | measurement | enumeration | primary | secondary | 2 |

Repulsion and coupling are two faces of… | mutation | chiasmata | linkage | crossing over | 3 |

The tendency of two or more than two genes to stay together during inheritance is called …. | Genetics | Gene interaction | crossing over | linkage | 4 |

Analysis of variance is a statistical method of comparing the several populations. | means | variances | standard deviation | None of these | 1 |

When conducting on ANOVA ,FDATA will always fall within what range ? | between 0 & infinity | between 0 and 1 | between - infinity and infinity | between 1 & infinity | 1 |

The error deviations within the SSE statistic measures distances … | between groups | within groups | both 1 & 2 | None of these | 2 |

How many dependent variables must you have for an ANOVA to be conducted ? | only 1 continous variable | 3 ratio variables | 3 ordinal variables | 3 interval variables | 1 |

What must you include when reporting on ANOVA ? | means | p value | F statistic | All of these | 4 |

In one -way ANOVA which of following is used within the F -ratio as a measurement of the variance of individual observations ? | SSE | MSE | MSTR | None of these | 1 |

…… is model for a series of discrete events where the average time between events is known but the exact timing of events is random. | Normal process | poisson process | Binomial process | None of these | 2 |

Poisson process is a type of markov process | TRUE | FALSE | Neither true nor false | None of these | 1 |

Markov chain is aperiodic | FALSE | true positive rate | Neither true nor false | None of these | 2 |

Genotype-enviroment interaction (GEI) plays a key role in developing strategies for …. | Crop improvement | soil improvement | neither of two | None of these | 1 |

ANCOVA means | Analysis of variance | Analysis of covariance | Analysis of correalation | Analysis of regression | 2 |

Poisson process meets the following criteria … | events are independent of each other | The average rate is constant | Two events cannot occur at the same time | All the above | 4 |

….. Has great article on applying a poisson process to bus arrival times which better with made up data than real world data. | Jake vanderplas | john tukey | susan murphy | None of these | 1 |

The Analysis of covariance is done by using ….. | regression | linear regression | correlation | All the above | 2 |

Markov chains have many applications as statistical models of real world process such as … | queues | currency exchange rates | animal populationdynamics | All the above | 4 |

Markov processes are the basis for general stochastic simulation methods known as … | markov chain | markov chain monte carlo | only monte carlo | None of these | 2 |

ANCOVA is general linear model which blends …. | ANOVA | regression | both 1 & 2 | None of these | 3 |

The ANOVA model assumes a linear relationship between the … | response | covariate | both 1 & 2 | None of these | 3 |

…… is a mathematical system that experiences transitions from one state to another according to certain probabilistic rules | markov chain | random model | random walks | None of these | 1 |

Assumptions of ANCOVA is ….. | linearity of regression | homogeneity of error variances | independence of error terms | All the above | 4 |

Examples of poisson processs .. | customers calling a help center | visitors to website | radioactive decay in atoms | All the above | 4 |

ANCOVA is similar to … ANOVA | factorial | nonfactorial | normal | None of these | 1 |

The probability of sure event is | 0 | 1 | 10 | 100 | 2 |

A table with all possible value of a random variable & it corressponding probabilities is called | Probability mass function | Probability density function | Probability distribution | cumulative distribution function | 3 |

In the simultaneous tossing of two fair coins, the probability of having at least one head is | 0.5 | 0.25 | 0.75 | 1 | 3 |

For two events A & B if P(A)=P(A/B)=0.25 & P(A/B)=0.5 then | A & B are mutually exclusive events | A & B are independent | A is subset of B | P(A'/B)‡ 0.75 | 2 |

A bin contain 4 red & 6 blue balls & three balls are drawn at random. Find probability such that both are of the same colour. | 0.35 | 0.2 | 0.1 | 0.57 | 2 |

Which of the following statement is true? | P(A/B)≥P(A) | P(A/B)≤P(A) | P(A/B)=P(A) | Nothing can be said about the magnitude of P(A) & P(A/B) | 4 |

If A & B are independent event with P(A)=0.4 & P(B) =0.25 then P(AUB) is equal to | 0.65 | 0.55 | 0.1 | Not enough information is given to answer this question | 2 |

The expected value of a discrete random variable X is given by | ∑P(x) | ∑xP(x) | P(x) | 1 | 2 |

Let X take value -1 , 0 , 1 & 2 with probabilities 0.2 , 0.4 , 0.1, & 0.3 respectively. Then X^2 take values 0 ,1, &4 respectively | 0.4 , 0.3, 0.3 | 0.4, 0.2, 0.5 | 0.16, 0.02, 0.82 | 0.2, 0.4, 0.1, 0.3 | 1 |

Which of the following is not discrete random variable? | Number of students present in the cla | Number of person possessing O -ve blood group in a blood donatio | Number of daughters born to a couple until they g | Weight of a new born baby. | 4 |

If X & Y denote the point obtained when two six face unbiased dice are thrown then P (X=Y) is | 0.5 | 0.16 | 0.04 | 0.02 | 2 |

If X follows discrete uniform distribution on 0, 1, n & the mean of the distribution is 6. Hence the value of n is | 6 | 18 | 36 | 12 | 4 |

Suppose X & Y are two independent discrete uniform random variables with parameters n. The distribution of X+Y is | discrete uniform with parameters 2n | discrete uniform random variables with parameters n^2. | Binomial Distribution | None of the above | 4 |

How many outcomes can a bernoulli trial ? | 3 | 2 | 5 | 2^n | 2 |

A random variable has Binomial distribution with parameter n & p then | mean < variance | mean > variance | mean = variance | mean ≤ variance | 2 |

If m is the mean of poission distribution the standard deviation is given by | √m | m^2 | m | m/2 | 1 |

If X~ b(n1,p) & Y ~b(n2, p) & X & Y are independent then the distribution of X+Y | b(n1+n2 , 2p) | b(n1+n2 , p) | b(n1+n2 , q) | not a binomial distribution | 2 |

If X1 & X2 are two independent poission variable with parameter m2 & m2 respectively then (X1 +X2) ~ | P(m1 , m2) | P(m1 - m2) | P(m1 + m2) | None of these | 3 |

Binomial distribution is | Continuous distribution | Discrete distribution | Irregular distribution | Not a Probability distribution | 2 |

The recurrence relation between P(x) & P(x+1) in a poission distribution is given by | P(x+1) - mP(x)=0 | mP(x+1) - P(x)=0 | (x+1)P(x) - xP(x+1)=0 | (x+1)P(x+1) - mP(x)=0 | 4 |

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