Category: Quantitative MCQs

No.	Topics.	No.	Topics.
1.	Algebra MCQs	2.	Averages MCQs
3.	Decimals And Fraction MCQs	4.	Geometry MCQs
5.	Percentages MCQs	6.	Probability
7.	Statistics

84. The statement that there is no difference or no relationship between variables is called the:

Alternative hypothesis.
Research hypothesis.
Null hypothesis.
Experimental hypothesis.

85. The statement that there is a difference or a relationship between variables is called the:

Null hypothesis.
Statistical hypothesis.
Alternative hypothesis.
Conservative hypothesis.

83. Hypothesis testing is a statistical method used to:

Estimate population parameters.
Determine the sample size.
Make decisions about a population based on sample data.
Visualize data.

81. A range of values within which a population parameter is expected to lie with a certain degree of confidence is called a:

Point estimate.
Hypothesis.
Confidence interval.
Significance level.

82. The level of confidence (e.g., 95%) indicates:

The probability that the parameter is exactly equal to the estimate.
The proportion of times the confidence interval will contain the true population parameter if the process is repeated many times.
The probability of making a Type I error.
The precision of the estimate.

79. Estimation is the process of:

Testing a hypothesis.
Calculating population parameters.
Inferring population parameters from sample statistics.
Collecting data.

80. A single value used to estimate a population parameter is called a:

Interval estimate.
Point estimate.
Hypothesis.
Confidence level.

78. According to the Central Limit Theorem, the sampling distribution of the sample mean will be approximately normal if:

The population is normal.
The sample size is large enough.
The population standard deviation is known.
All of the above.

77. The distribution of a sample statistic (e.g., sample mean) from all possible samples of the same size is called the:

Population distribution.
Normal distribution.
Sampling distribution.
Frequency distribution.

76. Errors that occur due to factors other than sampling variability (e.g., measurement error, non-response) are called:

Sampling errors.
Random errors.
Non-sampling errors.
Type I errors.

75. The difference between a sample statistic and its corresponding population parameter is called:

Standard error.
Bias.
Sampling error.
Non-sampling error.

74. A value that describes a characteristic of a sample is called a:

Parameter.
Population.
Statistic.
Census.

72. A sampling method where units are selected based on their easy availability or accessibility is:

Simple random sampling.
Convenience sampling.
Systematic sampling.
Random sampling.

73. A value that describes a characteristic of a population is called a:

Statistic.
Sample.
Parameter.
Variable.

71. A sampling method where the population is divided into clusters, and a random sample of clusters is selected, with all individuals in selected clusters being included, is:

Simple random sampling.
Stratified random sampling.
Systematic sampling.
Cluster sampling.

70. Selecting every nth element from a list after a random start is:

Stratified random sampling.
Cluster sampling.
Systematic sampling.
Convenience sampling.

69. Dividing the population into homogeneous subgroups and then drawing random samples from each subgroup is called:

Simple random sampling.
Systematic sampling.
Stratified random sampling.
Cluster sampling.

68. A sampling method where every member of the population has an equal chance of being selected is:

Convenience sampling.
Quota sampling.
Simple random sampling.
Purposive sampling.

67. The process of selecting a sample from a population is called:

Census.
Parameter.
Sampling.
Estimation.

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