Statistics for Data Analyst

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

MCQs Hypothesis Statistics Quiz

• Type-I error will occur if an innocent person is
• A deserving player is not selected for the national team, it is an example of
• A ———- error is made if $H_1$ is true but $H_0$ is accepted
• A statistic on the basis of which a decision is made about the hypothesis of interest is called
• The probability of rejecting a true hypothesis is called
• The probability of rejecting a false $H_0$ is
• The level of significance is the risk of
• When a critical region is located on both sides of the curve, it is called
• The choice of a one-tailed test and a two-tailed test depends upon
• Which one is an example of a two-tailed test
• The region of acceptance of $H_0$ is called
• The region of rejection of $H_0$ is called
• In a Z-test, the number of degrees of freedom is
• If $\alpha=0.05$%, the value of one-tailed $Z$ test will be
• If population standard deviation is known and $n>30$ then appropriate test statistics mean comparison is
• In a Wilcoxon rank sum test
• Fisher exact test is used for:
• Which of the following statistics can be used to determine whether or not there is a statistically significant relationship between two variables in a contingency table?
• Which of the following is (are) considered to be inferential statistics?
• A .05 level of significance means that

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

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Hypothesis and Hypothesis Testing Quiz

• The first and starting point in hypothesis testing is
• A hypothesis which is to be tested for the possible nullification is called
• The hypothesis, which is being tested is
• Which of the following can be $H_1$
• Which of the following can be an alternative hypothesis $H_1$
• A hypothesis in which all parameters are specified is called
• If $H_0:\mu =10$ and $\sigma = 5$, then it is
• Which one of the following cannot be a null hypothesis
• The probability of type-I error is denoted by
• The probability of rejecting $H_0$, when $H_0$ is true is called
• Rejecting $H_0$ when $H_0$ is false is called
• Rejecting $H_0$ when $H_0$ is true is called
• A judge can release(acquit) a guilty person is an example of
• A misfit person is not selected for a job is
• A good scheme related to education is rejected by the education department, it is an example of
• The greater the value of the F-ratio
• If a hypothesis test were conducted using $\alpha=0.05$, for which of the following p-values, the null hypothesis be rejected:
• To test $H_0:\sigma^2 = \sigma_o^2$, we use:
• Nonparametric tests are used when the level of measurement is
• The nonparametric equivalent of an unpaired samples t-test is the

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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.

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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

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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.

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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

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