MCQ தேர்வு

Q1
Which distribution is the exact sampling distribution of the sample variance, after suitable scaling, for a normal population?
Q2
For a positively skewed distribution, the usual relationship among mean, median and mode is:
Q3
If the coefficient of variation of a distribution is 20% and its mean is 50, what is its standard deviation?
Q4
If a distribution has skewness coefficient zero and kurtosis coefficient equal to 3, it is characteristic of:
Q5
A 95% confidence interval for a population mean becomes narrower when:
Q6
Which condition is required for the classical one-way ANOVA F-test?
Q7
A sample of size 25 has mean 80 and standard deviation 10. What is the standard error of the sample mean?
Q8
If the first four central moments are μ1=0, μ2=4, μ3=0 and μ4=48, the coefficient of kurtosis β2 is:
Q9
If a random sample of size n is drawn from a population with variance σ², the variance of the sample mean is:
Q10
Which statistic is sufficient for μ when X1,...,Xn are independent N(μ,σ²) observations with known σ²?
Q11
If the p-value is 0.03 and α=0.05, the appropriate decision is:
Q12
Perfect multicollinearity in a multiple regression model means:
Q13
The Cramér-Rao lower bound provides a lower bound for the variance of:
Q14
If X follows a binomial distribution with n=10 and p=0.3, what is Var(X)?
Q15
If X follows a standard normal distribution, what is P(X>0)?
Q16
For a continuous random variable X, P(X=a) is:
Q17
For any random variable X with finite variance, which inequality always holds?
Q18
If the confidence level is increased from 95% to 99%, the corresponding confidence interval generally:
Q19
If X~Exponential(λ), its memoryless property is represented by:
Q20
A population consists of 60% males and 40% females. If a sample is selected with exactly the same proportions, the sampling method is most appropriately described as:
Q21
Which transformation is most commonly used to stabilize variance in count data with Poisson-like characteristics?
Q22
The moment generating function of a Poisson distribution with parameter λ is:
Q23
For a contingency table with r rows and c columns, the degrees of freedom for a chi-square test of independence are:
Q24
If two variables have Pearson correlation r=0, which conclusion is necessarily valid?
Q25
If SST=500 and SSE=200 in a one-way ANOVA, what is the coefficient of determination?
Q26
The Durbin-Watson statistic is primarily used to detect:
Q27
In stratified sampling, the population is divided into:
Q28
If the regression lines are y=2x+3 and x=0.5y-1, what is the correlation coefficient?
Q29
According to the Central Limit Theorem, under broad conditions, the distribution of the sample mean approaches:
Q30
The power of a statistical test is:
Q31
A test has significance level α=0.05. If the null hypothesis is true, the probability of rejecting it is:
Q32
The null hypothesis in a chi-square test of independence states that:
Q33
For a chi-square distribution with ν degrees of freedom, its mean is:
Q34
In a chi-square goodness-of-fit test, expected frequencies are calculated under:
Q35
Which estimator is unbiased for the population variance when sampling is from a normal population?
Q36
If two variables X and Y have correlation coefficient -0.8, what is the correlation coefficient between 3X+5 and -2Y+7?
Q37
If the regression coefficients are byx=0.6 and bxy=0.4, what is the correlation coefficient?
Q38
Heteroscedasticity in a regression model means:
Q39
In systematic sampling with population size N=1000 and sample size n=100, the sampling interval is:
Q40
A normal distribution has mean 100 and standard deviation 15. Approximately what percentage of observations lie between 70 and 130?
Q41
For a Poisson random variable X with mean 4, what is P(X=2)?
Q42
Which sampling method gives every possible sample of a specified size an equal probability of selection?
Q43
If X is a random variable with E(X)=5 and Var(X)=9, what is Var(4X-7)?
Q44
If a population has variance 25 and a random sample of size 100 is taken, what is the standard deviation of the sampling distribution of the sample mean?
Q45
If X~N(μ,σ²), the standardized variable Z is:
Q46
If X~Binomial(n,p), its probability generating function is:
Q47
If the covariance between X and Y is 12, σX=3 and σY=8, the correlation coefficient is:
Q48
For a t-distribution with ν degrees of freedom, as ν tends to infinity, the distribution approaches:
Q49
For a normal population with unknown variance, the statistic (X̄-μ)/(S/√n) follows:
Q50
In hypothesis testing, a Type II error occurs when:
Q51
Which estimator has the smallest variance among all unbiased estimators of a parameter, if it satisfies the relevant regularity conditions and attains the Cramér-Rao lower bound?
Q52
For an exponential distribution with rate λ, the coefficient of variation is:
Q53
The likelihood principle implies that statistical inference about a parameter should depend on:
Q54
If a statistical test rejects H0 when the test statistic falls in the rejection region, the probability of this event under H0 is called:
Q55
In multiple linear regression, the adjusted R² differs from R² because it:
Q56
If X has mean 10 and variance 16, what is E[(X-10)²]?
Q57
Which measure of dispersion is least affected by extreme observations?
Q58
Which distribution is commonly used as the sampling distribution of the ratio of two independent sample variances from normal populations?
Q59
If the odds in favour of an event are 3:2, what is the probability of the event?
Q60
If X and Y are independent random variables, which statement is necessarily true?