Basic Statistics and Data Analysis

Statistics Lecture Notes, Online MCQs

Category: Estimate and Estimation

Estimate and Estimation

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MCQs Estimation 4

MCQs from Statistical Inference covering the topics of Estimation and Hypothesis Testing for the preparation of exams and different statistical job tests in Government/ Semi-Government or Private Organization sectors. These tests are also helpful in getting admission to different colleges and Universities. The Estimation and Hypothesis Testing Quiz will help the learner to understand the related concepts and enhance the knowledge too.

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. The distance between an estimate and the estimated parameter is called

 
 
 
 

2. A confidence interval will be widened if

 
 
 
 

3. A statistician calculates a 95% confidence interval for $\mu$ and $\sigma$ is known. The confidence interval is RS 18000 to RS 22000, the amount of the sample mean $\overline{X}$ is

 
 
 
 

4. $(1-\alpha)$ is called

 
 
 
 

5. By decreasing the sample size, the confidence interval becomes

 
 
 
 

6. The shape of the t-distribution depends upon the

 
 
 
 

7. If the population standard deviation $\sigma$ is known, the confidence interval for the population mean $\mu$ is based on

 
 
 
 

8. A 95% confidence interval for the mean of a population is such that

 
 
 
 

9. If the population standard deviation $\sigma$ is doubled, the width of the confidence interval for the population mean $\mu$ (the upper limit of the confidence interval — the lower limit of the confidence interval) will be

 
 
 
 

10. If $(1-\alpha)$ is increased, the width of a confidence interval is

 
 
 
 

11. If the population standard deviation $\sigma$ is unknown, and the sample size is small ($n\le 30$), the confidence interval for the population mean $\mu$ is based on

 
 
 
 

12. The number of values that are free to vary after a certain restriction are applied to the data is called

 
 
 
 

13. By increasing the sample size, the precision of confidence interval is ______

 
 
 
 

14. Confidence interval becomes narrow by increasing the

 
 
 
 

15. Estimates given in the form of confidence intervals are called

 
 
 
 


Most of the MCQs on this page are covered from Estimate and Estimation, Testing of Hypothesis, Parametric and Non-Parametric tests, etc. Let’s start the MCQs Hypothesis Testing quiz now.

Statistical inference is a branch of statistics in which we draw conclusions (make wise decisions) about the population parameter by making use of sample information. Statistical inference can be further divided into Estimation of parameters and testing of hypothesis.

Estimation is a way of finding the unknown value of the population parameter from the sample information by using an estimator (a statistical formula) to estimate the parameter. One can estimate the population parameter by using two approaches (I) Point Estimation and (ii) Interval Estimation.
Point Estimation a single numerical value is computed for each parameter, while in interval estimation a set of values (interval) for the parameter is constructed. The width of the confidence interval depends on the sample size and confidence coefficient. However, it can be decreased by increasing the sample size. The estimator is a formula used to estimate the population parameter by making use of sample information.

Estimation

Estimate and Estimation

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MCQs Inferential Statistics 3

MCQs from Inferential Statistics covering the topics of Estimation and Hypothesis Testing for the preparation of exams and different statistical job tests in Government/ Semi-Government or Private Organization sectors. These tests are also helpful in getting admission to different colleges and Universities. The Estimation and Hypothesis Testing Quiz will help the learner to understand the related concepts and enhance the knowledge too.

Please go to MCQs Inferential Statistics 3 to view the test

Most of the MCQs on this page are covered from Estimate and Estimation, Testing of Hypothesis, Parametric and Non-Parametric tests, etc. Let’s start the MCQs Hypothesis Testing quiz now.

MCQs Inferential Statistics

Statistical inference is a branch of statistics in which we draw conclusions (make wise decisions) about the population parameter by making use of sample information. Statistical inference can be further divided into Estimation of parameters and testing of hypothesis.

Estimation is a way of finding the unknown value of the population parameter from the sample information by using an estimator (a statistical formula) to estimate the parameter. One can estimate the population parameter by using two approaches (I) Point Estimation and (ii) Interval Estimation.
Point Estimation a single numerical value is computed for each parameter, while in interval estimation a set of values (interval) for the parameter is constructed. The width of the confidence interval depends on the sample size and confidence coefficient. However, it can be decreased by increasing the sample size. The estimator is a formula used to estimate the population parameter by making use of sample information.

Estimation

Take another MCQs test: MCQs Estimation

Estimate and Estimation

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MCQs Estimation 2

MCQs from Statistical Inference covering the topics of Estimation and Hypothesis Testing for the preparation of exams and different statistical job tests in Government/ Semi-Government or Private Organization sectors. These tests are also helpful in getting admission to different colleges and Universities. The Estimation and Hypothesis Testing Quiz will help the learner to understand the related concepts and enhance the knowledge too.

Please go to MCQs Estimation 2 to view the test

Most of the MCQs on this page are covered from Estimate and Estimation, Testing of Hypothesis, Parametric and Non-Parametric tests, etc. Let’s start the MCQs Hypothesis Testing quiz now.

Statistical inference is a branch of statistics in which we draw conclusions (make wise decisions) about the population parameter by making use of sample information. Statistical inference can be further divided into Estimation of parameters and testing of hypothesis.

Estimation is a way of finding the unknown value of the population parameter from the sample information by using an estimator (a statistical formula) to estimate the parameter. One can estimate the population parameter by using two approaches (I) Point Estimation and (ii) Interval Estimation.
Point Estimation a single numerical value is computed for each parameter, while in interval estimation a set of values (interval) for the parameter is constructed. The width of the confidence interval depends on the sample size and confidence coefficient. However, it can be decreased by increasing the sample size. The estimator is a formula used to estimate the population parameter by making use of sample information.

Estimation

Estimate and Estimation / Testing of Hypothesis

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MCQs Non-Parametric-1

Multiple Choice Questions (MCQs about Estimation & Hypothesis Non-parametric case) from Statistical Inference for the preparation of exam and different statistical job tests in Government/ Semi-Government or Private Organization sectors. These tests are also helpful in getting admission to different colleges and Universities.

Please go to MCQs Non-Parametric-1 to view the test

Most of the MCQs on this page are covered from Estimate and Estimation, Testing of Hypothesis when the assumption of population parameters are unknown, that is Non-Parametric tests, etc.

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