MCQs Estimation Quiz 8

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MCQs Estimation Quiz from Statistical Inference covers the topics of Estimation (Confidence Interval) and Bayes Factor for the preparation of exams and different statistical job tests in Government/ Semi-Government or Private Organization sectors. This test will also help get admission to different colleges and Universities. The online MCQS Estimation quiz will help the learner understand the related concepts and enhance their knowledge.

Online MCQs Estimation Quiz with Answers

1. Two researchers are investigating if people can see in the future. Person A believes there is no effect, which would mean that p-values are distributed as a —————-. B finds a test statistic at the very far end of the distribution, which means that —————-.

 
 
 
 

2. Suppose a research article indicates a value of $p = 0.001$ in the results section ($\alpha = 0.05$). The probability that the given study’s results are replicable is not equal to $1-p$.

 
 
 

3. An observed 95% confidence interval does not predict that 95% of the estimates from future studies will fall inside the observed interval.

 
 
 

4. The specific 95% confidence interval observed in a study has a 95% chance of containing the true effect size.

 
 
 

5. A Bayes Factor that provides strong evidence for the null model does not mean the null hypothesis is true.

 
 
 

6. The probability of finding a significant result when there is no true effect is called ————– The probability of finding a significant result when there is a true effect, is called —————.

 
 
 
 

7. When a Bayesian t-test yields a $BF = 0.1$, it is ten times more likely that there is no effect than that there is an effect.

 
 
 

8. A Bayes Factor that provides strong evidence for the alternative model does not mean the alternative hypothesis is true.

 
 
 

9. Suppose that a research article indicates a value of p = .30 in the results section ($\alpha = 0.05$). The probability that the given study’s results are replicable is not equal to $1-p$.

 
 
 

10. If two 95% confidence intervals around the means overlap, then the difference between the two estimates is necessarily non-significant ($\alpha = 0.05$).

 
 
 

11. Suppose that a research article indicates a value of $p = 0.001$ in the results section ($\alpha = 0.05$). The p-value of a statistical test is the probability of the observed result or a more extreme result, assuming the null hypothesis is true.

 
 
 

12. When a Bayesian t-test yields a $BF = 10$, it is ten times more likely that there is an effect than that there is no effect.

 
 
 

13. Suppose, the Bayesian method is used to estimate a population mean of 10 with a 95% credible interval from 8 to 12, which means ————–. This interval depends on —————.

 
 
 
 

14. Suppose that a research article indicates a value of $p = 0.001$ in the results section ($\alpha = 0.05$). The p-value gives the probability of obtaining a significant result whenever a given experiment is replicated.

 
 
 

15. Suppose that a research article indicates a value of $p = 0.001$ in the results section ($\alpha = 0.05$). The value $p = 0.001$ does not directly confirm that the effect size was large.

 
 
 

16. The likelihood ratio of the two hypotheses gives information about ————–, but not about —————-.

 
 
 
 

17. A Bayes Factor close to 1 (inconclusive evidence) means that the effect size is small.

 
 
 

18. Suppose that a research article indicates a value of $p = 0.30$ in the results section ($\alpha = 0.05$). You have absolutely proven the null hypothesis (that is, you have proven that there is no difference between the population means).

 
 
 

19. How are the three paths to statistical inference (frequentist, likelihood, Bayesian) related to each other?

 
 
 
 

20. To conclude that the difference between the two estimates is non-significant ($\alpha = 0.05$), the two 95% confidence intervals around the means do not overlap.

 
 
 

MCQs Estimation Quiz with Answers

  • An observed 95% confidence interval does not predict that 95% of the estimates from future studies will fall inside the observed interval.
  • Suppose a research article indicates a value of $p = 0.001$ in the results section ($\alpha = 0.05$). The probability that the given study’s results are replicable is not equal to $1-p$.
  • Suppose that a research article indicates a value of $p = 0.001$ in the results section ($\alpha = 0.05$). The value $p = 0.001$ does not directly confirm that the effect size was large.
  • Suppose that a research article indicates a value of $p = 0.001$ in the results section ($\alpha = 0.05$). The p-value of a statistical test is the probability of the observed result or a more extreme result, assuming the null hypothesis is true.
  • The specific 95% confidence interval observed in a study has a 95% chance of containing the true effect size.
  • A Bayes Factor close to 1 (inconclusive evidence) means that the effect size is small.
  • To conclude that the difference between the two estimates is non-significant ($\alpha = 0.05$), the two 95% confidence intervals around the means do not overlap.
  • If two 95% confidence intervals around the means overlap, then the difference between the two estimates is necessarily non-significant ($\alpha = 0.05$).
  • Suppose that a research article indicates a value of p = .30 in the results section ($\alpha = 0.05$). The probability that the given study’s results are replicable is not equal to $1-p$.
  • Suppose that a research article indicates a value of $p = 0.30$ in the results section ($\alpha = 0.05$). You have absolutely proven the null hypothesis (that is, you have proven that there is no difference between the population means).
  • How are the three paths to statistical inference (frequentist, likelihood, Bayesian) related to each other?
  • Two researchers are investigating if people can see in the future. Person A believes there is no effect, which would mean that p-values are distributed as a —————-. B finds a test statistic at the very far end of the distribution, which means that —————-.
  • The probability of finding a significant result when there is no true effect is called ————– The probability of finding a significant result when there is a true effect, is called —————.
  • The likelihood ratio of the two hypotheses gives information about ————–, but not about —————-.
  • When a Bayesian t-test yields a $BF = 10$, it is ten times more likely that there is an effect than that there is no effect.
  • A Bayes Factor that provides strong evidence for the alternative model does not mean the alternative hypothesis is true.
  • When a Bayesian t-test yields a $BF = 0.1$, it is ten times more likely that there is no effect than that there is an effect.
  • Suppose that a research article indicates a value of $p = 0.001$ in the results section ($\alpha = 0.05$). The p-value gives the probability of obtaining a significant result whenever a given experiment is replicated.
  • A Bayes Factor that provides strong evidence for the null model does not mean the null hypothesis is true.
  • Suppose, the Bayesian method is used to estimate a population mean of 10 with a 95% credible interval from 8 to 12, which means ————–. This interval depends on —————.
Online MCQs Estimation Quiz with Answers

Statistical inference is a branch of statistics in which we conclude (make some wise decisions) about the population parameter using sample information. Statistical inference can be further divided into the Estimation of the Population Parameters and the Hypothesis Testing.

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.

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Quiz Data Analytics 5

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The post is about Quiz Data Analytics. There are 20 multiple-choice type questions related to “The Data Ecosystem and Languages for Data Professionals” covering the Languages related to the work of data professionals such as type of data, format of data, audience, query languages, programming languages, and shell scripting. Let us start with the Quiz Data Analytics Questions now.

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Quiz Data Analytics with Answers

  • Which file format is independent of software, hardware, and operating systems and can be viewed the same way on any device?
  • Which data source can return data in plain text, XML, HTML, or JSON?
  • What is the next step must you perform after you download a dataset file from a URL?
  • “A presentation is not a data dump”. What is the one thing you would do to ensure your presentation is not a data dump?
  • What can you do to help your audience trust you?
  • What data type is data from emails, XML, zipped files, binary executables, and TCP/IP protocols?
  • Why is it important to understand the underlying data that was used to generate a data set in the context of reliability?
  • Why is it important to understand the information needs of your audience?
  • Which of the programming languages supports multiple programming paradigms, such as object-oriented, imperative, functional, and procedural, making it suitable for a wide variety of use cases?
  • What are the requirements for data to be reliable?
  • What type of data is produced by wearable devices, smart buildings, and medical devices?
  • What type of data is semi-structured and has some organizational properties but not a rigid schema?
  • What is one of the common structural transformations used for combining data from one or more tables?
  • What does a typical data-wrangling workflow include?
  • What is one of the steps in a typical data-cleaning workflow?
  • When applying for a data science position, you may be tested on basic linear algebra and multivariable calculus.
  • Most data visualization solutions provide users with a wide range of opportunities for data analytics, interpretation, exploration, and application.

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Statistics Help itfeature.com Quiz Data Analytics with Answers

MCQs Introduction to Statistics 21

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The post is about MCQs introduction to Statistics. There are 20 multiple-choice questions in this quiz related to data, variables, measures of central tendencies, measures of dispersions, level of measurements, and measures of positions. Let us start with the MCQs Introduction to Statistics Quiz.

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Online MCQs Introduction to Statistics

  • A researcher wants to measure physical height in as much detail as possible. Which level of measurement does s/he employ?
  • Suppose a researcher conducted a study on eye color and 550 people are questioned about it. 110 of them have brown eyes and 44% of them have blue eyes. What percentage of the people you questioned have blue or brown eyes?
  • Ten students completed an exam. Their scores were: 5, 7, 2, 1, 3, 4, 8, 8, 6, 6. What is the interquartile range (IQR)?
  • A researcher wants to know what people think of football. He asks ten people to rate their attitude towards football on a scale from 0 (do not like football at all) to 10 (like football a lot). The ratings from ten people are as follows: 1, 10, 6, 9, 2, 5, 6, 6, 5, 10. What is the standard deviation?
  • Which of the following statements is true? I. The larger the variance, the smaller the standard deviation. II. The stronger the skew, the smaller the difference between the median and the mean.
  • The grades for a statistics exam are as follows: 3, 5, 5, 6, 7.5, 6, 5, 1, 10, 4. Which score is an outlier? Use the interquartile range (IQR).
  • How many goals have the top strikers in a football competition scored? For the following 10 strikers, the information obtained is: 12, 10, 11, 12, 11, 14, 15, 18, 21, 11. The (1) ———— of the dataset equals 12, the mean equals (2) ———–, and the (3) ————– equals 11. The standard deviation equals (4) ———— Fill in the right words/numbers.
  • What is true about a variance of zero?
  • What is the difference between variables and constants?
  • A population mean is a center of mass of what?
  • A sample mean is a center of mass of what?
  • A population mean estimates a sample mean.
  • A sample mean is unbiased.
  • The more data that goes into the sample mean, the more concentrated its density/mass function is around the population mean.
  • What type of data refers to information obtained directly from the source?
  • Data obtained from an organization’s internal CRM, HR, and workflow applications is classified as:
  • When you detect a value in your data set that is vastly different from other observations in the same data set, what would you report that as?
  • The height of a student is 60 inches. This is an example of ——————?
  • If a Curve has a longer tail to the right, it is called
  • The extent to which values are dispersed around central observation is considered as
MCQs Introduction to Statistics with Answers

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