Sampling Distributions Assessment Test

Approved & Edited by ProProfs Editorial Team
The editorial team at ProProfs Quizzes consists of a select group of subject experts, trivia writers, and quiz masters who have authored over 10,000 quizzes taken by more than 100 million users. This team includes our in-house seasoned quiz moderators and subject matter experts. Our editorial experts, spread across the world, are rigorously trained using our comprehensive guidelines to ensure that you receive the highest quality quizzes.
Learn about Our Editorial Process
| By Cripstwick
C
Cripstwick
Community Contributor
Quizzes Created: 636 | Total Attempts: 785,708
Questions: 10 | Attempts: 270

SettingsSettingsSettings
Sampling Distributions Assessment Test - Quiz

In general, a sampling distribution is a probability distribution of a statistic obtained through a large number of samples drawn from a specific population. Take this assessment test to find out more.


Questions and Answers
  • 1. 

     A probability distribution of a statistic obtained through a large number of samples drawn from a specific population is...

    • A.

      Graph

    • B.

      Sampling distribution

    • C.

      Sample

    • D.

      Table

    Correct Answer
    B. Sampling distribution
    Explanation
    A sampling distribution refers to the probability distribution of a statistic that is obtained by taking numerous samples from a specific population. It shows the possible values of the statistic and their associated probabilities. This distribution provides important information about the variability and characteristics of the statistic, allowing researchers to make inferences about the population based on the sample data.

    Rate this question:

  • 2. 

    The actual or estimated standard deviation of the error in the process by which it was generated is...

    • A.

      Open error

    • B.

      Standard error

    • C.

      Closed error

    • D.

      Real value

    Correct Answer
    B. Standard error
    Explanation
    The correct answer is "Standard error" because it refers to the standard deviation of the error in the process by which the data was generated. It is a measure of the accuracy of the data, indicating how much the observed values deviate from the true values. A smaller standard error indicates less variability and higher precision in the data.

    Rate this question:

  • 3. 

    The statistical information from a sample which will vary as the random sampling is repeated is referred to as... 

    • A.

      Linear

    • B.

      Nominal

    • C.

      Sampling variability

    • D.

      Coefficient

    Correct Answer
    C. Sampling variability
    Explanation
    Sampling variability refers to the natural variation in statistical information that occurs when different random samples are taken from the same population. This variation is expected because each sample will have different individuals or elements, leading to different results. Therefore, sampling variability is the correct answer as it accurately describes the concept of variation in statistical information due to random sampling.

    Rate this question:

  • 4. 

     A listing or function showing all the possible values of data and how often they occur is...

    • A.

      Table

    • B.

      Distribution

    • C.

      Arrangement

    • D.

      Line

    Correct Answer
    B. Distribution
    Explanation
    A listing or function showing all the possible values of data and how often they occur is called a distribution. In statistics, a distribution provides a summary of the frequency or probability of different outcomes in a dataset. It helps in understanding the pattern, variability, and central tendency of the data. By analyzing the distribution, one can identify the most common values, outliers, and overall characteristics of the dataset.

    Rate this question:

  • 5. 

    Randomly choosing a sample of k items from a list S containing n items, where n is either a very large or unknown number is... 

    • A.

      Reservoir sampling

    • B.

      Rule sampling

    • C.

      Nomination

    • D.

      Ordination

    Correct Answer
    A. Reservoir sampling
    Explanation
    Reservoir sampling is a technique used to randomly select a sample of k items from a list S, where the total number of items in the list is either very large or unknown. It works by maintaining a reservoir of size k and iteratively updating it with items from the list. Each new item encountered has a probability of being included in the reservoir, ensuring a uniform and unbiased selection. This method is particularly useful when it is not feasible to store the entire list in memory or when the list size is unknown.

    Rate this question:

  • 6. 

    A statistical tool for constructing sampling distributions is the...

    • A.

      Permutation test

    • B.

      Combination test

    • C.

      T test

    • D.

      Confidence test

    Correct Answer
    A. Permutation test
    Explanation
    A permutation test is a statistical tool used for constructing sampling distributions. It involves randomly permuting the observed data to create a null distribution, which represents the distribution of the test statistic under the assumption that the null hypothesis is true. By comparing the observed test statistic to the null distribution, we can assess the likelihood of obtaining the observed result by chance alone. This allows us to make inferences about the population from which the sample was drawn. Therefore, a permutation test is a suitable tool for constructing sampling distributions.

    Rate this question:

  • 7. 

    A statistical test used on paired nominal data is the...

    • A.

      McNemar's test

    • B.

      Apte test

    • C.

      F test

    • D.

      Linear test

    Correct Answer
    A. McNemar's test
    Explanation
    McNemar's test is a statistical test used specifically for paired nominal data. It is commonly used when analyzing data that involves two related variables, such as before-and-after measurements or matched pairs. The test determines if there is a significant difference in the frequencies of two categories within the paired data. It is a non-parametric test that compares the observed frequencies with the expected frequencies under the null hypothesis, and it is suitable for small sample sizes. Therefore, McNemar's test is the appropriate choice for analyzing paired nominal data.

    Rate this question:

  • 8. 

    What is used to test the null hypothesis that the median of a distribution is equal to some value?  

    • A.

      Lean test

    • B.

      Poll test

    • C.

      Sign test

    • D.

      Pill test

    Correct Answer
    C. Sign test
    Explanation
    The sign test is used to test the null hypothesis that the median of a distribution is equal to some value. In this test, the differences between the observed values and the hypothesized median are replaced by their signs (+ or -) and the number of positive and negative signs are compared. If the number of positive and negative signs is approximately equal, then the null hypothesis is accepted.

    Rate this question:

  • 9. 

    Which is a method for testing differences between three or more matched sets of frequencies or proportions?

    • A.

      T test

    • B.

      Optimum test

    • C.

      Cochran's Q test

    • D.

      D test

    Correct Answer
    C. Cochran's Q test
    Explanation
    Cochran's Q test is a method used to test differences between three or more matched sets of frequencies or proportions. It is specifically designed for categorical data and is used when the data is non-parametric and the observations are dependent on each other. The test determines whether there is a significant difference between the proportions of a categorical variable across multiple groups. It is a useful tool in various fields such as medicine, social sciences, and market research, where researchers want to compare frequencies or proportions among different groups.

    Rate this question:

  • 10. 

    What is used for identification and rejection of outliers?  

    • A.

      A test

    • B.

      E test

    • C.

      T test

    • D.

      Q test

    Correct Answer
    D. Q test
    Explanation
    The Q test is used for the identification and rejection of outliers. The Q test is a statistical test that compares the difference between a data point and the mean value of a dataset to the range of the dataset. If the difference is greater than a certain critical value, the data point is considered an outlier and can be rejected. This test helps in identifying and removing any data points that are significantly different from the rest of the dataset, which can affect the accuracy and reliability of statistical analysis.

    Rate this question:

Quiz Review Timeline +

Our quizzes are rigorously reviewed, monitored and continuously updated by our expert board to maintain accuracy, relevance, and timeliness.

  • Current Version
  • Mar 20, 2023
    Quiz Edited by
    ProProfs Editorial Team
  • Dec 25, 2017
    Quiz Created by
    Cripstwick
Back to Top Back to top
Advertisement
×

Wait!
Here's an interesting quiz for you.

We have other quizzes matching your interest.