One-Sample Test of Statistics MCQs
One-Sample Test of Statistics MCQs
Welcome to the One-Sample Test of Statistics MCQs page on MCQss.com. This page contains a series of interactive multiple-choice questions designed to assess your understanding of the one-sample test of statistics.
The one-sample test is a statistical procedure used to compare the mean or proportion of a single sample to a known value or theoretical expectation. It is commonly employed in various fields to examine whether the sample data provide evidence to support or reject a specific hypothesis.
By practicing the One-Sample Test of Statistics MCQs, you can evaluate your knowledge and proficiency in conducting and interpreting one-sample statistical tests. These MCQs cover topics such as hypothesis testing, significance levels, test statistics (e.g., t-test, z-test), critical values, p-values, confidence intervals, and interpreting the results in the context of a single sample.
Understanding the one-sample test of statistics is essential for researchers, analysts, and decision-makers involved in data analysis and inference. It allows them to make conclusions about a population based on a single sample, assess the significance of findings, and determine the practical implications of the results.
Regular practice of One-Sample Test of Statistics MCQs will help you enhance your understanding and skills in conducting hypothesis tests on a single sample. You will gain insights into the steps involved in the one-sample test, learn how to formulate null and alternative hypotheses, calculate test statistics, interpret p-values, and make informed decisions based on statistical evidence.
Take advantage of the One-Sample Test of Statistics MCQs available on MCQss.com to test your knowledge, improve your understanding of the one-sample test, and strengthen your statistical analysis skills. These MCQs will not only assess your proficiency but also provide valuable insights into the complexities of hypothesis testing and interpreting results in the context of a single sample
1: Null hypothesis significance testing involves the selection of an alpha level to limit the risk of Type I error, statements of null and alternative hypotheses .
A. True
B. False
2: One-Sample Test uses information from a sample (its mean, SD, and N) to decide whether a _________ value for the unknown population
A. Specific hypothesized
B. General hypothesized
C. Simple hypothesized
D. None of these
3: Null Hypothesis is an algebraic statement that some population parameter has a _______ .
A. Specific value
B. General value
C. Both a & b
D. None of these
4: Alternative hypothesis is a difference between two or more variables is anticipated by the researchers .
A. True
B. False
5: A ______ corresponds to a nondirectional alternative hypothesis .
A. Two-tailed test
B. One -tailed test
C. Single -tailed test
D. None of these
6: A significance test that uses an alternative hypothesis that does not specify a directional difference is known as ________ .
A. Two-tailed test
B. One -tailed test
C. Directional Test
D. Nondirectional Test
7: One-Tailed Test is a significance test that uses an alternative hypothesis that specifies an alternative value of μ that is ______ either the value of μ .
A. Less than
B. Greater than
C. Both a & b
D. None of these
8: The null hypothesis is rejected only for large positive or large negative values of t is known as _______ .
A. Two-tailed test
B. Directional Test
C. Nondirectional Test
D. ALL of these
9: P (or p value) is the area in one or two tails of a distribution
A. True
B. False
10: Choice of alpha (α) level are data analysts who choose an alpha level; α corresponds to the maximum acceptable risk for Type I error.
A. True
B. False
11: A subjective judgment as to whether the value of the M1 – M2 observed difference between group means in a study is known as _______ .
A. Practical Significance
B. Digital significant
C. Both a & b
D. None of these
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One-Sample Test of Statistics MCQs
