MCQs 3 on "Sample and Sampling Distribution" Statistics

These are MCQs 3 on "Sample and Sampling Distribution" Statistics. Practice MCQs to check your knowledge for Entrance examination like CSIR NET, BINC etc.

1. Standard deviation of sample mean without replacement__________ standard deviation of sample mean with replacement:

• Less than
• More than
• 2 times
• Equal to

2. In sampling without replacement, an element can be chosen:

• Less than once
• More than once
• Only once
• Difficult to tell

3. In sampling with replacement, the following is always true:

• n = N
• n < N
• n > N
• All of the above

4. Which of the following statement is true?

• Standard error is always one
• Standard error is always zero
• Standard error is always negative
• Standard error is always positive

5. Random sampling is also called:

• Probability sampling
• Non-probability sampling
• Sampling error
• Random error

6. Non-random smapling is also called:

• Biased sampling
• Non-probability sampling
• Random sampling
• Representative sample

7. Sampling error can be reducing by:

• Non-probability sampling
• Increasing the population
• Decreasing the sample size
• Increasing the sample size

8. The selection of cricket team for the world cup is called:

• Random sampling
• Systematic sampling
• Purposive sampling
• Cluster sampling

9.A complete list of all the sapling units is called:

• Sampling design
• Sampling frame
• Population frame
• Cluster

10. A Plan for obtaining a sample from a population is called:

• Population design
• Sampling design
• Sampling frame
• Sampling distribution

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MCQs 2 on "Sample and Sampling Distribution" Statistics

These are MCQs 2 on "Sample and Sampling Distribution" Statistics. Practice MCQs to check your knowledge for Entrance examination like CSIR NET, BINC etc.

1. If we obtain a point estimate for a population mean μ, the difference between and μ is:

• Standard error
• Bias
• Error of estimation
• Difficult to tell

2. A distribution formed by all possible values of a statistics is called

• Binomial distribution
• Hypergeometric distribution
• Normal distribution
• Sampling distribution

3. In probability sampling, probability of selecting an item from the population is known and is:

• Equal to zero
• Non zero
• Equal to one
• All of the above

4. A population about which we want to get some information is called:

• Finite population
• Infinite population
• Sampling population
• Target population

5. The population consists of the results of repeated trials is named as:

• Finite population
• Infinite population
• Real population
• Hypothetical population

6. A population consisting of the items which are all present physically is called:

• Finite population
• Infinite population
• Real population
• Hypothetical populatio

7. Study of population is called:

• Parameter
• Statistic
• Error
• Census

8. For making voters list in Pakistan we need:

• Sampling error
• Standard error
• Census
• Simple random sampling

9.Sampling based upon equal probability is called:

• Probability sampling
• Systematic sampling
• Simple random sampling
• Stratified random sampling

10.In sampling with replacement, an element can be chosen:

• Less than once
• More than once
• Only once
• Difficult to tell

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MCQs 1 on "Sample and Sampling Distribution" Statistics

These are MCQs 1 on "Sample and Sampling Distribution" Statistics. Practice MCQs to check your knowledge for Entrance examination like CSIR NET, BINC etc

1. Sample is a sub-set of:

• Population
• Data
• Set
• Distribution

2. Any population constant is called a:

• Statistic
• Parameter
• Estimate
• Estimator

3. List of all the units of the population is called:

• Random sampling
• Bias
• Sampling frame
• Probability sampling

4. Any calculation on the sampling data is called:

• Parameter
• Static
• X
• Error

5. Any measure of the population is called:

• Finite
• Parameter
• Without replacement
• Random

6. If all the units of a population are surveyed, it is called:

• Random sample
• Random sampling
• Sampled population
• Complete enumeration

7. Probability distribution of a statistics is called:

• Sampling
• Parameter
• Data
• Sampling distribution

8. The difference between a statistic and the parameter is called:

• Probability
• Sampling error
• Random
• Non-random

9. The sum of the frequencies of the frequency distribution of a statistic is equal to:

• Sample size
• Population size
• Possible samples
• Sum of X values

10. Standard deviation of sampling distribution of a statistic is called:

• Serious error
• Dispersion
• Standard error
• Difference

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Online Statistics MCQs 2 on "Normal Distribution"

This are Online Statistics MCQs 1 on "Normal Distribution". Practice MCQs to check your knowledge of "Normal Distribution".

1. If X ~ N (μ, σ² ), the points of inflection of normal distribution are:

• ± σ
• ± μ
• σ ± μ
• μ ± σ

2. In normal probability distribution for a continuous random variable, the value of a mean deviation is approximately equal to:

• 2/3
• 2/3 σ
• 4/5
• 4/5 σ

3. In a normal distribution whose mean is land standard deviation 0, the value 4 quartile deviation is approximately:

• 4/5
• 4/5 σ
• 2/3 σ
• 2/3

4. In a normal distribution, the lower and upper quartiles are equidistant from the mean and are at a distance of:

• 0.7979
• 0.7979 σ
• 0.6745
• 0.6745 σ

5. The value of e is approximately equal to:

• 2.7183
• 2.1783
• 2.8173
• 2.1416

6. The value of π is approximately equal to:

• 3.4116
• 3.1416
• 3.1614
• 3.6416

7. If X ~ N (μ, σ² ), the standard normal variate is distributed as:

• N(1,0)
• N(0,1)
• N( μ,0)
• N( 0,σ²)

8. The coefficient of skewness of a normal distribution is:

• Positive
• Negative
• Zero
• Three

9. The total area of the normal probability density function is equal to:

• 0
• 0.5
• 1
• 0.25

10. In a standard normal distribution, the value of mode is:

• Equal to zero
• Less than zero
• Greater than zero
• Exactly one

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Online Statistics MCQs 1 on "Normal Distribution"

This are Online Statistics MCQs 1 on "Normal Distribution". Practice MCQs to check your knowledge of "Normal Distribution".

1. The range of normal distribution is:

• 0 to n
• 0 to ∞
• -1 to +1
• -∞ to +∞

2. In normal distribution:

• Mean = Median = Mode
• Mean < Median < Mode
• Mean> Median > Mode
• Mean ≠ Median ≠ Mode

3. Which of the following is true for the normal curve:

• Symmetrical
• Unimodel
• Bell-shaped
• All of the above

4. In a normal curve, the ordinate is highest at:

• Mean
• Variance
• Standard deviation
• Q1

5. The parameters of the normal distribution are:

• µ and σ²
• µ and σ
• np and nq
• n and p

6. The shape of the normal curve depends upon the value of:

• Standard deviation
• Q1
• Mean deviation
• Quartile deviation

7. The normal distribution is a proper probability distribution of a continuous random variable, the total area under the curve f(x) is:

• Equal to one
• Less than one
• More than one
• Between -1 and +1

8. In a normal probability distribution of a continuous random variable, the value of standard deviation is:

• Zero
• Less than zero
• Greater than zero
• None of the above

9. In a normal curve, the highest point on the curve occurs at the mean, µ, which is also the:

• Median and mode
• Geometric mean and harmonic mean
• Lower and upper quartiles
• Variance and standard deviation

10. The normal curve is symmetrical and for symmetrical distribution, the values of all odd order moments about mean will always be:

• 1
• 0.5
• 0.25
• 0

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Online Statistics Probability MCQs 3

These are MCQs 3 on "PROBABILITY"

1. When each outcome of a sample space is as likely to occur as any other, the outcomes are called:

• Exhaustive
• Mutually exclusive
• Equally likely
• Not mutually exclusive

2. If A is any event in S and A its complement, then P(A ) is equal to:

• 1
• 0
• 1- A
• 1 - P(A)