MCQs 3 on "Hypothesis Testing" Statistics

These are MCQs 3 on "Hypothesis Testing" Statistics. Practice MCQs to check your knowledge for Entrance examination like CSIR NET, BINC etc.

1. The range of test statistic-t is:

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

2. If H_o is true and we reject it is called:

• Type-I error
• Type-II error
• Standard error
• Sampling error

3. The probability associated with committing type-I error is:

• β
• α
• 1 – β
• 1 – α

4. A failing student is passed by an examiner, it is an example of:

• Type-I error
• Type-II error
• Unbiased decision
• Difficult to tell

5. A passing student is failed by an examiner, it is an example of:

• Type-I error
• Type-II error
• Best decision
• All of the above

6. 1 – α is also called:

• Confidence coefficient
• Power of the test
• Size of the test
• Level of significance

7. 1 – α is the probability associated with:

• Type-I error
• Type-II error
• Level of confidence
• Level of significance

8. Area of the rejection region depends on:

• Size of α
• Size of β
• Test-statistic
• Number of values

9. Size of critical region is known as:

• β
• 1 - β
• Critical value
• Size of the test

10. A null hypothesis is rejected if the value of a test statistic lies in the:

• Rejection region
• Acceptance region
• Both (a) and (b)
• Neither (a) nor (b)

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MCQs 2 on "Hypothesis Testing" Statistics

These are MCQs 2 on "Hypothesis Testing" Statistics. Practice MCQs to check your knowledge for Entrance examination like CSIR NET, BINC etc.

1. A hypothesis may be classified as:

• Simple
• Composite
• Null
• All of the above

2. The probability of rejecting the null hypothesis when it is true is called:

• Level of confidence
• Level of significance
• Power of the test
• Difficult to tell

3. The dividing point between the region where the null hypothesis is rejected and the region where it is not rejected is said to be:

• Critical region
• Critical value
• Acceptance region
• Significant region

4. If the critical region is located equally in both sides of the sampling distribution of test-statistic, the test is called:

• One tailed
• Two tailed
• Right tailed
• Left tailed

5. The choice of one-tailed test and two-tailed test depends upon:

• Null hypothesis
• Alternative hypothesis
• None of these
• Composite hypotheses

6. Test of hypothesis Ho: μ = 50 against H1: μ > 50 leads to:

• Left-tailed test
• Right-tailed test
• Two-tailed test
• Difficult to tell

7. Test of hypothesis Ho: μ = 20 against H1: μ < 20 leads to:

• Right one-sided test
• Left one-sided test
• Two-sided test
• All of the above

8. Testing Ho: μ = 25 against H1: μ ≠ 20 leads to:

• Two-tailed test
• Left-tailed test
• Right-tailed test
• Neither (a), (b) and (c)

9. A rule or formula that provides a basis for testing a null hypothesis is called:

• Test-statistic
• Population statistic
• Both of these
• None of the above

10. The range of test statistic-Z is:

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

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MCQs 1 on "Hypothesis Testing" Statistics

These are MCQs 1 on "Hypothesis Testing" Statistics. Practice MCQs to check your knowledge for Entrance examination like CSIR NET, BINC etc.

1. A statement about a population developed for the purpose of testing is called:

• Hypothesis
• Hypothesis testing
• Level of significance
• Test-statistic

2. Any hypothesis which is tested for the purpose of rejection under the assumption that it is true is called:

• Null hypothesis
• Alternative hypothesis
• Statistical hypothesis
• Composite hypothesis

3. A statement about the value of a population parameter is called:

• Null hypothesis
• Alternative hypothesis
• Simple hypothesis
• Composite hypothesis

4. Any statement whose validity is tested on the basis of a sample is called:

• Null hypothesis
• Alternative hypothesis
• Statistical hypothesis
• Simple hypothesis

5. A quantitative statement about a population is called:

• Research hypothesis
• Composite hypothesis
• Simple hypothesis
• Statistical hypothesis

6. A statement that is accepted if the sample data provide sufficient evidence that the null hypothesis is false is called:

• Simple hypothesis
• Composite hypothesis
• Statistical hypothesis
• Alternative hypothesis

7. The alternative hypothesis is also called:

• Null hypothesis
• Statistical hypothesis
• Research hypothesis
• Simple hypothesis

8. A hypothesis that specifies all the values of parameter is called:

• Simple hypothesis
• Composite hypothesis
• Statistical hypothesis
• None of the above

9. The hypothesis μ ≤ 10 is a:

• Simple hypothesis
• Composite hypothesis
• Alternative hypothesis
• Difficult to tell.

10. If a hypothesis specifies the population distribution is called:

• Simple hypothesis
• Composite hypothesis
• Alternative hypothesis
• None of the above

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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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