# MCQs Inference

## 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.

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. Level of confidence is denoted by

2. In point estimation we get

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

4. The following statistics are unbiased

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

6. The formula used to estimate a parameter is called

7. $1-\alpha$ is called

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

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

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

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

12. The other name of significance level is

13. A specific value calculated from sample is called

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

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

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.

## MCQs Estimation 1

The Post is about MCQs Estimation with Answers. MCQs Esatiation 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 MCQs Estimation and Hypothesis Testing Quiz will help the learner to understand the related concepts and enhance the knowledge too.

Please go to MCQs Estimation 1 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 conclude (make wise decisions) about the population parameter by making use of sample information. Statistical inference can be further divided into the Estimation of parameters and testing of the 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.
In 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.

## Hypothesis Testing Quiz 3

the post is about Hypothesis Testing Quiz from Statistical Inference 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 Hypothesis Testing Quiz will help the learner understand the related concepts and enhance the knowledge.

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

Please go to Hypothesis Testing Quiz 3 to view the test

### Hypothesis Testing Quiz

• In hypothesis testing, type II error is represented by $\beta$ and the power of the test is $1-\beta$ then
• In statistical testing of the hypothesis, what happens to the region of rejection when the level of significance $\alpha$ is reduced?
• Which of the following is NOT correct?
• In testing the statistical hypothesis, which of the following statement(s) is false?
• In testing the statistical hypothesis, which of the following statement(s) is false?
• In a statistical hypothesis test of equality of means, such as $H_0:\mu=10$, if $\alpha=5\%$
• Which of the following statements is correct
• The average growth of a certain variety of pine trees is 10.1 inches in three years. A biologist claims that a new variety will have greater three-year growth. A random sample of 25 of the new variety has an average three-year growth of 10.8 inches and a standard deviation of 2.1 inches. The appropriate null and alternative hypotheses to test the biologist’s claim are:
• Since   $\alpha$= probability of Type I error, then $1 -\alpha$
• The following are percentages of fat found in 5 samples of each of the two brands of baby food:
A:    5.7, 4.5, 6.2, 6.3, 7.3
B:    6.3, 5.7, 5.9, 6.4, 5.1
Which of the following procedures is appropriate to test the hypothesis of equal average fat content in the two types of ice cream?
• In hypothesis testing, you need to conclude, and you fail to reject a null hypothesis, which is actually false. What type of error do they commit?
• You conduct a hypothesis test, you need to conclude and commit a type II error. Which of the following statements accurately describes this scenario?
• Suppose you conduct a hypothesis test and choose a significance level of 5%. You calculate a p-value of 3.3%. What conclusion should be drawn?
• In a one-sample hypothesis test of the mean, what are the typical options for the alternative hypothesis?
• A data analyst conducts a hypothesis test. They fail to reject the null hypothesis. What statement best describes their conclusion?
• In testing the difference between two populations, it is possible to use
• In testing of hypothesis, type-II error may be defined as:
• If a Chi-square goodness of fit test has 6 categories and an $N=30$, then the correct number of degrees of freedom is:
• For testing the equality of several variances the appropriate test is
• To perform a run test for randomness the data must be

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