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MCQOPTIONS
This section includes 113 Mcqs, each offering curated multiple-choice questions to sharpen your Concrete Technology knowledge and support exam preparation. Choose a topic below to get started.
| 51. |
A continuous time signal is given by x(t) = 5 cos 100πt. What is the minimum sampling rate required to avoid aliasing. |
| A. | 100 samples/sec |
| B. | 200 samples/sec |
| C. | 50 samples/sec |
| D. | 10 samples/sec |
| Answer» B. 200 samples/sec | |
| 52. |
A sinusoid x(t) of unknown frequency is sampled by an impulse train of period 20 ms. The resulting sample train is next applied to an ideal lowpass filter with cutoff at 25 Hz. The filter output is seen to be a sinusoid of frequency 20 Hz. This means that x(t) is |
| A. | 10 Hz |
| B. | 60 Hz |
| C. | 30 Hz |
| D. | 90 Hz |
| Answer» D. 90 Hz | |
| 53. |
Find the minimum sampling rate for bandpass consideration of the following signal to be truthfully represented by its samples:m(t) = 2cos6000 πt + 4cos8000 πt + 6cos10000 πt |
| A. | 10 kHz |
| B. | 3 kHz |
| C. | 6 kHz |
| D. | 5 kHz |
| Answer» B. 3 kHz | |
| 54. |
A practical signal could be _____ |
| A. | both, time limited and band limited, simultaneously |
| B. | both, time limited and band limited, but not at the same time |
| C. | band limited |
| D. | time limited |
| Answer» C. band limited | |
| 55. |
When the statistical inference is made on the basis of sample results about the characteristics of population then this is classified as |
| A. | inferential statistics |
| B. | sample statistics |
| C. | population statistics |
| D. | population variability |
| Answer» C. population statistics | |
| 56. |
If the standard deviation of the population is known then the μ must be equal to |
| A. | absolute value of estimator |
| B. | error free mean |
| C. | expected value of mean |
| D. | inferential value of mean |
| Answer» D. inferential value of mean | |
| 57. |
In sampling distribution, the standard deviation must be equal to |
| A. | σ + square root of sample size |
| B. | σ * square root of sample size |
| C. | σ - square root of sample size |
| D. | σ ⁄ square root of sample size |
| Answer» E. | |
| 58. |
The methods in statistics that uses sample statistics to estimate the parameters of the population are considered as |
| A. | inferential statistics |
| B. | absolute statistics |
| C. | coverage statistics |
| D. | random sample statistics |
| Answer» B. absolute statistics | |
| 59. |
The type of sampling In which each element of population has equally likely chance of occurrence in a random sample is classified as |
| A. | regular and irregular sampling |
| B. | error free sampling |
| C. | inertia sampling |
| D. | simple random sampling |
| Answer» B. error free sampling | |
| 60. |
Regardless to difference in distribution of sample and population, the mean of sampling distribution must be equal to |
| A. | degree of freedom |
| B. | statistic error |
| C. | population mean |
| D. | standard error |
| Answer» D. standard error | |
| 61. |
The cluster sampling, stratified sampling and systematic sampling are types of |
| A. | direct sampling |
| B. | indirect sampling |
| C. | random sampling |
| D. | non random sampling |
| Answer» D. non random sampling | |
| 62. |
If the p is equal to 0.65, the value of N is 25000 whereas the sample size is 50 then the value of standard deviation of sample proportion is |
| A. | 0.0056 |
| B. | 0.0045 |
| C. | 0.0065 |
| D. | 0.045 |
| Answer» C. 0.0065 | |
| 63. |
The standard deviation of a sampling distribution is also classified as |
| A. | standard error |
| B. | statistic error |
| C. | sampling error |
| D. | probability error |
| Answer» B. statistic error | |
| 64. |
The quota sampling, judgment sampling and convenience sampling are classified as types of |
| A. | random sampling |
| B. | non random sampling |
| C. | direct sampling |
| D. | indirect sampling |
| Answer» C. direct sampling | |
| 65. |
The measures in sampling that are results of sample analyses are called |
| A. | absolute statistics parameter |
| B. | coverage estimators |
| C. | population statistics |
| D. | sample statistic |
| Answer» E. | |
| 66. |
In sampling distribution, the formula of calculating standard deviation of sample proportion is as |
| A. | square root of pqn ⁄ p |
| B. | square root of pq ⁄ n |
| C. | square root of nq ⁄ p |
| D. | square root of pn ⁄ q |
| Answer» C. square root of nq ⁄ p | |
| 67. |
The conditions such as large sample size to represent population and samples must be drawn randomly are included in |
| A. | principle of statistical regularity |
| B. | principle of statistical irregularity |
| C. | principle of sampling error |
| D. | principle of inertia |
| Answer» B. principle of statistical irregularity | |
| 68. |
The principle which states that larger the sample size larger the accuracy and stability is part of |
| A. | principle of sampling error |
| B. | principle of inertia |
| C. | principle of statistical regularity |
| D. | principle of statistical irregularity |
| Answer» C. principle of statistical regularity | |
| 69. |
The distribution of difference of proportions approximate the normal standard distribution only if |
| A. | n > or = 30 |
| B. | n < or = 30 |
| C. | n > or = 50 |
| D. | n < or = 50 |
| Answer» B. n < or = 30 | |
| 70. |
If the population parameter μ and the unbiased estimate of population is x̅ then the sampling error is as |
| A. | |p‾ - μ| |
| B. | |x̅ - μ| |
| C. | |x̅ + μ| |
| D. | |x̅ * μ| |
| Answer» C. |x̅ + μ| | |
| 71. |
The bias which occurs when the randomly drawn sample from population fails to represent whole population is classified as |
| A. | populated bias |
| B. | random sample bias |
| C. | under coverage bias |
| D. | coverage bias |
| Answer» D. coverage bias | |
| 72. |
The theorem which states that as the sample size increases the sampling distribution must approach the normal distribution is classified as |
| A. | limited approximation theorem |
| B. | secondary limit theorem |
| C. | primary limit theorem |
| D. | central limit theorem |
| Answer» E. | |
| 73. |
The method of sampling in which the random sampling will not be possible because the population is widely spread is classified as |
| A. | secondary stage sampling |
| B. | multistage sampling |
| C. | primary stage sampling |
| D. | sub stage sampling |
| Answer» C. primary stage sampling | |
| 74. |
IF the population standard deviation is not known then the formula used to calculate standard error is as |
| A. | n - 1 ⁄ sample size square root |
| B. | s ⁄ sample size square root |
| C. | n + 1 ⁄ square root of s |
| D. | n * 2 ⁄ sample size square root |
| Answer» C. n + 1 ⁄ square root of s | |
| 75. |
In systematic sampling, the population is 200 and the selected sample size is 50 then the sampling interval is |
| A. | 250 |
| B. | 0.25 |
| C. | 4 |
| D. | 40 |
| Answer» D. 40 | |
| 76. |
The elements in sample with specific characteristics is divided to sample size to calculate |
| A. | expected deviated proportion |
| B. | expected mean proportion |
| C. | population proportion |
| D. | sample proportion |
| Answer» E. | |
| 77. |
If the value of p is 0.70 and the sample size is 28 then the value of standard deviation of sample proportion is |
| A. | 0.097 |
| B. | 0.067 |
| C. | 0.087 |
| D. | 0.077 |
| Answer» D. 0.077 | |
| 78. |
In stratified sampling, the sample drawn randomly from the strata is classified as |
| A. | sub strata |
| B. | sub sample |
| C. | direct sub group |
| D. | indirect sub group |
| Answer» C. direct sub group | |
| 79. |
In statistical analysis, the sample size is considered small if |
| A. | n > 50 |
| B. | n < 50 |
| C. | n > 30 |
| D. | n < 30 |
| Answer» E. | |
| 80. |
The bias occurred in collection of sample because of confusing questions in the questionnaire is classified as |
| A. | non-responsive bias |
| B. | non distribution bias |
| C. | non wording bias |
| D. | wording bias |
| Answer» E. | |
| 81. |
All the values in sample distribution that can freely varies in the selected random sample from population are indicated as |
| A. | degree of freedom |
| B. | degree of error |
| C. | degree of statistic |
| D. | degree of possibility |
| Answer» B. degree of error | |
| 82. |
The sample statistics are denoted by the |
| A. | upper case Greek letter |
| B. | associated roman alphabets |
| C. | roman letters |
| D. | lower case Greek letter |
| Answer» D. lower case Greek letter | |
| 83. |
The procedure in which the number of elements in stratum are not in proportional to the number of elements in population is classified as |
| A. | indirect strata procedure |
| B. | direct strata procedure |
| C. | non proportional procedure |
| D. | proportional procedure |
| Answer» D. proportional procedure | |
| 84. |
The type of sampling in which the desired and useful information is gathered from the best position holder is classified as |
| A. | quota sampling |
| B. | convenience sampling |
| C. | purposive sampling |
| D. | judgment sampling |
| Answer» E. | |
| 85. |
If the value of x-bar is 70 and the μ of sampling distribution is 15 with the standard deviation is 20 then the standard normal variable is |
| A. | 2.75 |
| B. | 3.75 |
| C. | 4.75 |
| D. | 5.75 |
| Answer» B. 3.75 | |
| 86. |
The method of random sampling which is also called area sampling method is classified as |
| A. | statistical sub cluster sampling |
| B. | sub cluster sampling |
| C. | proportional inertia sampling |
| D. | cluster sampling |
| Answer» E. | |
| 87. |
The uncertainty of elements can be reduced with the estimation of |
| A. | under coverage error |
| B. | coverage error |
| C. | sampling error |
| D. | random sample error |
| Answer» D. random sample error | |
| 88. |
The procedure of selecting the desired portion from population which describes the characteristics of whole population is |
| A. | sampling |
| B. | extracting |
| C. | deviation of sample |
| D. | variability of sample |
| Answer» B. extracting | |
| 89. |
The method of sampling in which the population is divided in to mutual exclusive groups that have useful context in statistical research is classified as |
| A. | stratified sampling |
| B. | regular group sampling |
| C. | irregular group sampling |
| D. | direct group sampling |
| Answer» B. regular group sampling | |
| 90. |
In sample distribution, the degree of freedom is calculated as |
| A. | df = n- 2 |
| B. | df = n- 1 |
| C. | df = n- 3 |
| D. | df = n- 5 |
| Answer» C. df = n- 3 | |
| 91. |
The difference between corresponding population and unbiased estimate in the terms of absolute value is classified as |
| A. | sampling error |
| B. | random sample error |
| C. | under coverage error |
| D. | coverage error |
| Answer» B. random sample error | |
| 92. |
In cluster sampling, the elements of selected clusters are classified as |
| A. | elementary units |
| B. | primary units |
| C. | secondary units |
| D. | proportional units |
| Answer» B. primary units | |
| 93. |
In sampling, the measures such as variance, mean, standard deviation are considered as |
| A. | absolute statistics |
| B. | coverage estimator |
| C. | parameters |
| D. | estimators |
| Answer» D. estimators | |
| 94. |
If the mean of population is 25 then the mean of sampling distribution is |
| A. | 25 |
| B. | 5 |
| C. | 30 |
| D. | 35 |
| Answer» B. 5 | |
| 95. |
If the proportion of population is 10.5 then the proportion mean of sampling distribution is |
| A. | 10.5 |
| B. | 12.5 |
| C. | 15.5 |
| D. | 18.5 |
| Answer» B. 12.5 | |
| 96. |
The bias in which few respondents responds to offered questionnaire is classified as |
| A. | responsive bias |
| B. | non-responsive bias |
| C. | distributed error |
| D. | concerning error |
| Answer» B. non-responsive bias | |
| 97. |
The value of estimator is subtracted from mean and then divided by standard deviation to calculate |
| A. | random variable with standard error |
| B. | sample size of population |
| C. | standard normal random variable |
| D. | error free random variable |
| Answer» D. error free random variable | |
| 98. |
The unknown or exact value that represents the whole population is classified as |
| A. | parameters |
| B. | estimators |
| C. | absolute statistics |
| D. | coverage estimator |
| Answer» B. estimators | |
| 99. |
The important principles to determine the valid statistical inference must includes |
| A. | principle of sampling error |
| B. | principle of statistical regularity |
| C. | principle of inertia |
| D. | both b and c |
| Answer» E. | |
| 100. |
The listing of elements in the population with the identifiable number is classified as |
| A. | regularity experimental frame |
| B. | indirect experiment frame |
| C. | direct experimental frame |
| D. | frame for experiment |
| Answer» E. | |