Statistics Mcqs

Practice MCQs under Statistics Mcqs. 44 available

1Basic Statistics Mcqs
2Binomial And Hyper-geometric Probability Mcqs
3Chart and Graph
4Confidence Intervals and Estimation
5Correlation and Regression Mcqs
6Data Classification, Tabulation and Presentation
7Hypothesis Testing
8Index Number
9Introduction to Probability
10Introduction to Statistics
11Measures Of Dispersion
12Measures Of Location
13Measures of Central Tendency
14Normal Distribution
15Presentation Of Data
16Probability Distributions
17Probability Mcqs
18RANDOM VARIABLE AND PROBABILITY DISTRIBUTIONS
19Sample Linear Regression Mcqs
20Sampling Distributions
21Sampling Mcqs
22Skewness, Kurtosis and Moments
23Statistical Inference Mcqs

Questions

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Correct options are highlighted when revealed.

1.What determines the shape of a Poisson distribution?

The random variable XThe distribution's parameterThe average valueThe varianceNone of the above

2.What is the shape of a binomial distribution when the probabilities of success and failure are equal (p = q)?

Skewed to the rightSkewed to the leftSymmetricalUndefined shapeNone of the above

3.Given that p = 0.6 and q = 0.4, what is the shape of the binomial distribution?

Skewed to the rightSkewed to the leftPerfectly symmetricalBell curve shapedUniform distribution

4.Which probability distribution describes the count of successful events occurring within a fixed time period?

Gamma distributionBinomial distributionNegative binomial distributionPoisson distributionNone of the above

5.Which probability distribution describes the waiting time between two consecutive successes?

Poisson distributionExponential distributionGamma distributionBeta distributionNormal distribution

6.Which of the following terms can also be used to refer to the explanatory variable?

Independent variablePredictor variableControlled variableAll of the above

7.Which statement correctly describes the cumulative distribution function (CDF) of a random variable X?

It accumulates probabilities starting from higher values of x.It accumulates probabilities beginning from the smallest value up to a given value of x.It accumulates probabilities from zero to a particular value of x.None of the above.

8.In statistics, what must a random variable always have?

A changing quantityAn associated probability distributionSpecific numerical valuesNo particular requirementA fixed constant

9.What is the total area beneath the curve of a probability density function?

ZeroNegative oneOneUnlimitedNone of the above

10.Given the expression E(ax + b), how can it be rewritten in terms of E(x)?

Constant CE(x)b multiplied by E(a)b aloneNone of the above

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