Testing of Hypothesis

The post is about the MCQs Hypothesis Testing Statistics Quiz. There are 20 multiple-choice questions covering topics related to parametric and non-parametric tests, significance level, hypothesis testing procedure, statement of the hypothesis, test statistics, and critical region. Let us start with the Hypothesis Testing Statistics Quiz.

MCQs Hypothesis Testing Statistics with Answers

• Parameters are those constants which occur in:
• The power of the test is related to:
• Homogeneity of several variances can be tested by:
• The equality of several normal population means can be tested by:
• The sign test assumes that:
• The set of equations obtained in the process of least square estimation is called:
• Most of the Non-Parametric methods utilize measurements on:
• To test the randomness of a sample, the appropriate test is:
• With a lower significance level, the probability of rejecting a null hypothesis that is actually true:
• For a particular hypothesis test, $\alpha=0.05$, and $\beta=0.10$. The power of this test is:
• When the null hypothesis is accepted, it is possible that:
• Statistics are described as methods for concluding ———- based on ——— computed from the ———.
• ———- variable causes a change in ———– variable and it is not possible that ——– variable could cause a change in ———- variable.
• Our best description of the situation in the US regarding undergraduate drinking is that we are 95% certain that between 31% and 38% of undergrads are allowed to drink legally.
• 56% of undergraduate students in the US are allowed to drink legally.
• Which of the following is an example of statistical inference
• Suppose the critical region for a certain test of hypothesis is for the form $F>9.48773$ and the computed value of $F$ from the data is $0.86$ the
• We use unplanned comparisons to determine
• The F-ratio is typically used to test differences between
• The null hypothesis in ANOVA asks whether

https://gmstat.com

https://rfaqs.com

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.

Please go to Important MCQs Hypothesis Testing Quiz 3 to view the test

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: 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

https://rfaqs.com

https://gmstat.com

The post is about the MCQs Testing Hypothesis. There are 20 multiple-choice questions covering topics related to non-parametric tests and assumptions, null and alternative hypotheses, level of significance, and test statistics. Let us start with MCQs Testing Hypothesis.

Please go to Important MCQs Testing Hypothesis 2 to view the test

MCQs Testing Hypothesis with Answers

• The sign test is
• The non-parametric equivalent of an unpaired samples t-test is
• The Mann-Whitney U test is preferred to a t-test when
• When using the sign test, if two scores are tied, then
• The sign test assumes that the
• When testing for randomness, we can use
• The Runs test results in rejecting the null hypothesis of randomness when
• Wilcoxon Rank-Sum test can be of
• The Wilcoxon Rank-Sum test used to compare
• The Wilcoxon Signed Rank test is used
• Which of the following tests uses Rank Sums
• Which of the following tests must be two-sided?
• In testing for the difference between two populations, it is possible to use
• In a Wilcoxon Rank-Sum test
• The Spearman Rank-Correlation test requires that the
• To perform a Runs test for randomness the data must be
• Three brands of coffee are rated for taste on a scale of 1 to 10. Six persons are asked to rate each brand so that there is a total of 18 observations. The appropriate test to determine if three brands taste equally good is
• Comparing the times-to-failure of radar transponders made by firms A, B, and C based on an airline’s sample experience with the three types of instruments one may use
• Which of the following tests is most likely assessing this null hypothesis: The number of violations per apartment in the population of all city apartments is binomially distributed with a probability of success in any one trial of $P=0.3$
• A data professional on a marketing team conducts a hypothesis test to compare the mean time customers spend on two different versions of a company’s website. To start, they state the null hypothesis and the alternative hypothesis. What should they do next?

https://rfaqs.com

https://rfaqs.com

The post is about MCQs Hypothesis Testing. There are 20 multiple-choice questions covering topics related to the basics of hypothesis testing, assumptions about one sample, two samples, and more than two sample mean comparison tests, significance level, null and alternative hypothesis, test statistics, sample size, critical region, and decision. Let us start with MCQs Hypothesis Testing Quiz.

Please go to Important MCQs Hypothesis Testing 1 to view the test

MCQs Hypothesis Testing with Answers

• $1 – \alpha$ is the probability of
• A parameter is a ———- quantity
• If we reject the null hypothesis, we might be making
• Herbicide A has been used for years in order to kill a particular type of weed. An experiment is to be conducted in order to see whether a new herbicide, Herbicide B, is more effective than Herbicide A. Herbicide A  will continue to be used unless there is sufficient evidence that Herbicide B is more effective. The alternative hypothesis in this problem is
• Analysis of Variance (ANOVA) is a test for equality of
• Which of the following is an assumption underlying the use of the t-distributions?
• For t distribution, increasing the sample size, the effect will be on
• The t distributions are
• Condition for applying the Central Limit Theorem (CLT) which approximates the sampling distribution of the mean with a normal distribution is?
• Which of the following is a true statement, for comparing the t distributions with standard normal,
• What is the probability of a type II error when $\alpha=0.05$?
• The critical value of a test statistic is determined from
• The null hypothesis is a statement that is assumed to be true unless there is convincing evidence to the contrary. The null hypothesis typically assumes that observed data occurs by chance.
• The ——– typically assumes that observed data does not occur by chance.
• Which of the following statements describes the significance level?
• What is the first step when conducting a hypothesis test?
• A data professional conducts a hypothesis test. They discover that their p-value is less than the significance level. What conclusion should they draw?
• What does a two-sample hypothesis test determine?
• What is the null hypothesis of a two-sample t-test?
• To conclude the null hypothesis, what two concepts are compared?

https://gmstat.com

https://rfaqs.com