Muhammad Imdad Ullah

Currently working as Assistant Professor of Statistics in Ghazi University, Dera Ghazi Khan. Completed my Ph.D. in Statistics from the Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan. l like Applied Statistics, Mathematics, and Statistical Computing. Statistical and Mathematical software used is SAS, STATA, Python, GRETL, EVIEWS, R, SPSS, VBA in MS-Excel. Like to use type-setting LaTeX for composing Articles, thesis, etc.

Important Estimation MCQs with Answers 2

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The post is about Estimation MCQs with Answers. MCQs are all about statistical inference and cover the topics of estimation, estimator, point estimate, interval estimate, properties of a good estimator, unbiasedness, efficiency, sufficiency, Large sample, and sample estimation. There are 20 multiple-choice questions from the estimation section. Let us start with Estimation MCQs with Answers.

MCQs about statistical inference covering the topics estimation, estimator, point estimate, interval estimate, properties of a good estimator, unbiasedness, efficiency, sufficiency, Large sample, and sample estimation.

1. What will be the confidence level if the level of significance is 5% (0.05)

 
 
 
 

2. Testing of hypothesis may be replaced by?

 
 
 
 

3. The probability that the confidence interval does contain the parameter is denoted by

 
 
 
 

4. The following is an unbiased estimator of the population variance $\sigma^2$

 
 
 
 

5. In point estimation we get

 
 
 
 

6. After identifying a sample statistic, what is the proper order of the next three steps of constructing a confidence interval?

 
 
 
 

7. There are four steps involved with constructing a confidence interval. What is typically the first one?

 
 
 
 

8. The level of confidence is denoted by

 
 
 
 

9. The way of finding the unknown value of the population parameter from the sample values by using a formula is called _____

 
 
 
 

10. The other name of the significance level is

 
 
 
 

11. $1-\alpha$ is called

 
 
 
 

12. What happens as a sample size gets larger?

 
 
 
 

13. A specific value calculated from a sample is called

 
 
 
 

14. A function that is used to estimate a parameter is called

 
 
 
 

15. The following statistics are unbiased

 
 
 
 

16. A statistic $\hat{\theta}$ is said to be an unbiased estimator of $\theta$, if

 
 
 
 

17. The formula used to estimate a parameter is called

 
 
 
 

18. A point estimate is often insufficient. Why?

 
 
 
 

19. The probability that the confidence interval does not contain the population parameter is denoted by

 
 
 
 

20. If $E(\hat{\theta})=\theta$ then $\hat{\theta}$ is called

 
 
 
 

Estimation MCQs with Answers

Estimation MCQs with Answers
  • If $E(\hat{\theta})=\theta$ then $\hat{\theta}$ is called
  • A statistic $\hat{\theta}$ is said to be an unbiased estimator of $\theta$, if
  • The following statistics are unbiased
  • The following is an unbiased estimator of the population variance $\sigma^2$
  • In point estimation we get
  • The formula used to estimate a parameter is called
  • A specific value calculated from a sample is called
  • A function that is used to estimate a parameter is called
  • $1-\alpha$ is called
  • The level of confidence is denoted by
  • The other name of the significance level is
  • What will be the confidence level if the level of significance is 5% (0.05)
  • The probability that the confidence interval does not contain the population parameter is denoted by
  • The probability that the confidence interval does contain the parameter is denoted by
  • The way of finding the unknown value of the population parameter from the sample values by using a formula is called ——–.
  • There are four steps involved with constructing a confidence interval. What is typically the first one?
  • What happens as a sample size gets larger?
  • After identifying a sample statistic, what is the proper order of the next three steps of constructing a confidence interval?
  • Testing of hypothesis may be replaced by?
  • A point estimate is often insufficient. Why?
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MCQs Basic Statistics 1

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The post is about the MCQs Basic Statistics. There are 20 multiple-choice questions with answers covering the topics of coefficient of variation, ungrouped and grouped data, distribution of data, primary and secondary data, data collection methods, variables, reports, sample and population, surveys, and data collection methods. Let us start with MCQs Basic Statistics quiz.

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Online MCQs Basic Statistics with Answers

MCQs Basic Statistics with Answers
  • The mean of a distribution is 14 and the standard deviation is 5. What is the value of the coefficient of variation?
  • The mean of a distribution is 23, the median is 24, and the mode is 25.5. It is most likely that this distribution is:
  • According to the empirical rule, approximately what percent of the data should lie within $\mu \pm 2\sigma$?
  • If a distribution is abnormally tall and peaked, then it can be said that the distribution is:
  • The sum of dots, when two dice are rolled, is
  • The number of accidents in a city during 2010 is
  • The first-hand and unorganized form of data is called
  • The data which have already been collected by someone are called
  • Census reports used as a source of data is
  • The grouped data is also called
  • Primary data and ——— data are the same
  • The questionnaire survey method is used to collect
  • Data collected by NADRA to issue computerized identity cards (CICs) are
  • A parameter is a measure which is computed from
  • Given $X_1=12,X_2=19,X_3=10,X_4=7$, then $\sum_{i=1}^4 X_i$ equals?
  • A chance variation in an observational process is
  • A constant variable can take values
  • A specific characteristic of a population is called
  • The listing of the data in order of numerical magnitude is called
  • A variable that assumes any value within a range is called
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Important MCQs Sampling Quiz 1

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The post is about the MCQs Sampling Quiz with Answers. There are 2o multiple-choice questions covering topics related to probability and non-probability sampling, statistic and parameter, sampling and non-sampling error, sampling techniques, Sampling unit and sampling frame, proportional allocation of sampling units, etc. Let us start with the MCQs Sampling Quiz.

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Online MCQs Sampling Quiz with Answers

MCQs Sampling Quiz with answers
  • Non-Sampling error is reduced by
  • Any numerical value calculated from sample data is called
  • The sample is a subset of
  • Non Probability form of sampling is
  • In sampling with replacement, a sampling unit can be selected
  • Sampling in which a sampling unit can be repeated more than once is called
  • The standard deviation of the sampling distribution of any statistic is called
  • Any numerical value computed from the population is called
  • The list of all units in a population is called
  • The difference between statistic and parameter is called
  • In random sampling, the probability of selecting an item from the population is
  • Regardless of the difference in the distribution of the sample and population, the mean of sampling distribution must be equal to the:
  • The number of strata should preferably be less than or equal to what value?
  • The sample size of $h$th stratum by proportion allocation is
  • The procedure in which a number of elements in a stratum is proportional to a number of elements in the population is classified as:
  • Selection of the sample size $n$ to be the same for all the strata is known as:
  • Consider a population of size 700 consisting of three strata such that $N_1=100, N_2=250$, and $N_3=350$. The required sample size is 18. What will be the sample size for stratum-I according to proportional allocation?
  • Consider a population of size 700 consisting of three strata such that $N_1=100, N_2=250$, and $N_3=350$. The required sample size is 18. What will be the sample size for stratum-II according to proportional allocation?
  • Consider a population of size 700 consisting of three strata such that $N_1=100, N_2=250$, and $N_3=350$. The required sample size is 18. What will be the sample size for stratum-III according to proportional allocation?
  • Sample allocation plan that provides the most precision, given a fixed sample size is
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Important MCQs Sampling Techniques Quiz 2

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The post is about MCQs Sampling Techniques Quiz with Answers. There are 20 Multiple-Choice Questions from topics related to sampling and sampling distribution, probability and non-probability sampling distribution, examples related to sampling methods, sampling error, and standard error of sampling distribution. Let us start with the MCQs Sampling Techniques Quiz.

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MCQS Sampling Techniques Quiz

MCQs Sampling Techniques Quiz with Answers
  • The sampling Error is
  • The height distribution of a few students in a school is an example of
  • The unbiased point estimator of the population mean is
  • Bias is
  • The sampling technique in which every element of the population has an equal, non-zero probability of being selected in a sample is called
  • If the mean of the sampling distribution is equal to the parameters then estimators will be
  • Probability distribution of $\overline{X}$ is called its
  • The probability distribution of a statistic is called
  • A magazine conducts a survey and asks its readers to cut the questionnaire from the magazine, fill it and send it via mail. It is a type of
  • The standard error of mean is the standard deviation of the
  • What best describes a sample size?
  • In the data analysis process, how does a sample relate to a population?
  • When working with sample data, what is the first step in the sampling process?
  • Probability sampling uses ———— selection to generate a sample.
  • A data professional is conducting an election poll. As a first step in the sampling process, they identify the target population. What is the second step in the sampling process?
  • In a ———– sample, every member of a population is selected randomly and has an equal chance of being chosen.
  • Non-probability sampling includes which of the following sampling methods?
  • What term describes a probability distribution of a sample statistic?
  • A data professional is conducting an employee satisfaction survey. First, they list all the employees alphabetically by first name. Then, they randomly choose a starting point on the list and pick every third name to be in the sample. What sampling method are they using?
  • A restaurant wants to gather data about a new dish by giving out free samples and asking for feedback. Who should the restaurant give samples to?
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