## Important MCQs Sampling Techniques Quiz with Answers 12

The post is about Multiple Choice Questions Related to Sampling and Sampling Techniques Quiz. There are 20 MCQs about Sampling Techniques covering the topics related, to stratified sampling, cluster sampling, and simple random sampling. Let us start with the Sampling Techniques Quiz.

1. Suppose that all the units in the population are divided into ten mutually exclusive groups. The word “mutually exclusive” means that

2. ————- is a set of elements taken from a larger population according to certain rules.

3. If larger units have more probability of their inclusion in the sample, the sampling is known as

4. The mean of clusters average is the biased estimator of a population mean when

5. When the procedure of selecting the elements from the population is not based on probability is known as

6. In a stratified random sampling method

7. A randomly selected sample of 1000 college students was asked whether they had ever used the drug Ecstasy. Sixteen percent (16% or 0.16) of the 1000 students surveyed said they had which one of the following statements about the number 0.16 is correct?

8. If the respondents do not provide the required information to the researcher, then it is known as

9. Which of the following would usually require the smallest sample size because of efficiency?

10. Which ONE of the following is the main problem with using non-probability sampling techniques?

11. A group consists of 300 people and we are interviewing all members of a given group called

12. Before completing a survey, an individual acknowledges reading information about how and why the data they provide will be used. What is this concept called?

13. The cluster sampling method differs from the stratified sampling method in that

14. In a cluster random sampling method

15. Which of the following is not a characteristic of quota sampling?

16. One similarity between the stratified sampling method and the cluster sampling method is that

17. When the population is badly affected, which type of sampling is appropriate?

18. Sample allocation plan that provides the most precision, given a fixed sample size is

19. Problem of non-Response

20. In stratified random sampling with strata weights 0.35, 0.55, and 0.10, and standard deviations 16, 23, and 19, and sample sizes 70, 110, and 20, the variance of the sample mean estimator is?

### MCQs Sampling Techniques Quiz with Answers

• Sample allocation plan that provides the most precision, given a fixed sample size is
• In stratified random sampling with strata weights 0.35, 0.55, and 0.10, and standard deviations 16, 23, and 19, and sample sizes 70, 110, and 20, the variance of the sample mean estimator is?
• A group consists of 300 people and we are interviewing all members of a given group called
• When the procedure of selecting the elements from the population is not based on probability is known as
• Problem of non-Response
• If the respondents do not provide the required information to the researcher, then it is known as
• If larger units have more probability of their inclusion in the sample, the sampling is known as
• The cluster sampling method differs from the stratified sampling method in that
• One similarity between the stratified sampling method and the cluster sampling method is that
• In a cluster random sampling method
• In a stratified random sampling method
• Suppose that all the units in the population are divided into ten mutually exclusive groups. The word “mutually exclusive” means that
• When the population is badly affected, which type of sampling is appropriate?
• A randomly selected sample of 1000 college students was asked whether they had ever used the drug Ecstasy. Sixteen percent (16% or 0.16) of the 1000 students surveyed said they had which one of the following statements about the number 0.16 is correct?
• Which ONE of the following is the main problem with using non-probability sampling techniques?
• Which of the following is not a characteristic of quota sampling?
• Before completing a survey, an individual acknowledges reading information about how and why the data they provide will be used. What is this concept called?
• ————- is a set of elements taken from a larger population according to certain rules.
• The mean of clusters average is the biased estimator of a population mean when
• Which of the following would usually require the smallest sample size because of efficiency?

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### Overview of Statistical Hypotheses

A statistical hypothesis is a claim about a population parameter. For example,

• The mean height of males is less than 65 inches tall
• The percentage of people favoring a bullet train is about 59%
• The daily average expense for a college student is more than Rs. 250
• At least 5% of Pakistan earn more than Rs 2,500,000 per year

A statistical method is used to determine if there is enough evidence in sample data to support a claim about a population.

The claimed hypotheses are written in certain statistical and concise forms. For example, the above statements about population can be written as

• $H_0: \mu < 65$
• $H_0: \pi = 0.59$
• $H_0:\mu > 250$
• $H_0: \pi \ge 0.05$

If someone is interested in knowing that above stated statistical hypotheses are either true or false, one needs to conduct a hypothesis test. To test a statistical hypothesis, one needs to follow the following basic procedure, to fulfill the requirements.

1. Draw a random sample from the population of interest (for example, the height of males)
2. Determine if the results from the sample data are consistent or not with the hypothesis under study.
3. If the collected sample data is (significantly) different from the claimed hypothesis, then reject the hypothesis as being false. However, if the sampled data is not significantly different, one would not reject the hypothesis.

### Statistical Hypotheses Example

Example: Suppose a battery manufacturer claims that the average life of their batteries is at least 300 minutes.

To test this hypothesis, we follow the procedure as

### Some Examples

Estimation of population parameters is widely used in various fields of life. For example,

• a company might estimate customer satisfaction through a sample survey,
• a biologist might estimate the average wingspan of a specific bird species by capturing and measuring a small group.

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