The post is about MCQs Hypothesis Testing Quiz. There are 20 multiple-choice questions. The quiz covers the topics related to the basics of hypothesis testing, level of significance, test statistical, critical region, parametric, and non-parametric tests. Let us start with MCQs Hypothesis Testing Quiz.
Online MCQs about Hypothesis Testing with Answers
MCQs Hypothesis Testing Quiz with Answers
- 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:Â 5.7, 4.5, 6.2, 6.3, 7.3 B:Â Â Â 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
Sir in statistical inference exercise 5 :Q11 sir how power of the test related to type 1&2 error both. Sir kindly guaid me in this regard.
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Type I and Type II errors are inversely related. A researcher wants both Type-I and Type-II errors to be small. In terms of significance level and power, Weiss says this means we want a small significance level (close to 0) and a large power (close to 1).
Following are multiple ways of defining the power of test: