ECAT Pre General Science Statistics Online Test With Answers

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ECAT Pre General Science Statistics Online Test

Sr. # Questions Answers Choice
1 A specific value of an estimator computed from the sample data after the sample has been observed is called Point estimate Statistical Inference Statistic Parameter
2 An estimator is always is Constant Variable Parameter Statistic
3 The statistical estimation of population is divided into two types Three types cannot divided None of these
4 Population parameters are estimated from Sample data Whole data Estimator Population interval
5 A sample statistic that is used to estimate the unknown true value of a population parameter is called Point estimator Interval estimator Testing of hypothesis None of these
6 A procedure of making judgment about the unknown value of a population parameter by using the sample observation is called Statistical Inference Parameter Testing of hypothesis Statistical estimation
7 The branch of statistics concerned with using probability concepts to deal with uncertainty in decision making is called Estimation Statistical Inference Point estimate None of these
8 A point estimate is a single number that is used to estimate an unknown Constant Parameter Variable None of these
9 Bias is Non random error Option A & C Cumulative None of these
10 The difference between the expected value of a statistic and the true value of the parameter being estimated is called Accuracy Error Precision Bias
11 We refer the difference between the sample result and the true value as Accuracy Error Precision Bias
12 Probability sampling is also called Random sampling Discrete sampling Continuous sampling Standard error
13 A descriptive measure on the sample observation is called Statistics Statistic Survey None of these
14 The results obtained by rolling a die, is an example of Infinite population Finite population Option A & B None of these
15 The heights of all the students enrolled at a college in a given year, is an example of Infinite population Finite population Discrete sampling None of these
16 The collecting of information from a part of the population is called making a Census Complete enumeration Discrete sampling None of these
17 Selecting a representative sample from a given population called Finite population Sampling Infinite population None of these
18 A sample is a part of Universe Mean Median Mode
19 A population consists of unlimited number of elementary units Continuous population Finite population Infinite population Mix population
20 In normal probability distribution, all odd order moments about mean are zero one maximum none of these
21 The total area under normal curve is Infinity unity zero greater than one
22 The sum of probability of success and probability of failure in a binomial probability distribution is always Zero One Less than 1 Greater than 1
23 The hypergeometric model is applied when samples are taken or selections are made, from a finite population With replacement Without replacement With parameters None of these
24 Binomial distribution has two Variables Constants Parameters None of these
25 The shape of binomial distribution depends upon the value of its Constants Parameters Variables Integers
26 If "a" and "b" are constants, then E(ax + b) = a a E (x) E (x) a E (x) + B
27 The sum of probabilities of a discrete random variable is always 0 1 Infinity None of these
28 In continuous distribution, P(y=a) and P(y= b) is always Zero One Undefined Negative
29 The simplest form of the continuous distribution is the Discrete uniform distribution Probability mass function Density function Continuous uniform distribution
30 The area under the probability density function is 1 0 Minimum None of these
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