MCQ on t Test

t-test is a statistical hypothesis test that assesses whether there is a significant difference between the means of two groups or samples. It helps determine if observed differences are due to chance or a real effect. Please follow this MCQ on t Test to understand the principles and uses of Student’s t test in biological research.

You may also like: Biostatistics Notes  |  Biostatistics PPT  |  Biostatistics MCQs  |

The t-test is used to compare:

The t-test is based on the t-statistic, which is the ratio of:

The t-distribution is similar to the normal distribution but has:

When the sample size increases, the t-distribution approaches:

In a two-sample t-test for independent samples, the degrees of freedom are calculated as:

In a paired-sample t-test, the dependent samples are typically:

The null hypothesis for a one-sample t-test states that:

The p-value in a t-test represents:

A t-test with a large effect size and a small sample size is likely to have:

The critical value in a t-test is used to:

When conducting a one-sample t-test, if the t-statistic is greater than the critical value, what can be concluded?

The degrees of freedom in a one-sample t-test are calculated as:

The type of t-test used when comparing two independent groups with unequal variances is:

When the p-value in a t-test is less than the significance level (α), what is the appropriate decision?

The t-test assumes that the data are:

You may also like: Biostatistics Notes  |  Biostatistics PPT  |  Biostatistics MCQs  |




<<< Back to Statistics MCQ Page

More Multiple Choice Questions (MCQs)...
BOTANYBIOCHEMISTRYBIOTECHNOLOGY
ZOOLOGYCELL BIOLOGYIMMUNOLOGY
ECOLOGYMOLECULAR BIOLOGYANIMAL PHYSIOLOGY
GENETICSBIOINFORMATICSPLANT PHYSIOLOGY
EVOLUTIONBIOPHYSICSDEVELOPMENTAL BIOLOGY
MICROBIOLOGYBIOSTATISTICSRESEARCH METHODOLOGY




You may also like...
NOTESQUESTION BANKCOMPETITIVE EXAMS.
PPTsUNIVERSITY EXAMSDIFFERENCE BETWEEN..
MCQsPLUS ONE BIOLOGYNEWS & JOBS
MOCK TESTSPLUS TWO BIOLOGYPRACTICAL

Related posts:

  1. MCQ on Hypothesis Testing in Statistics
  2. MCQ on Errors in Statistics
  3. MCQ on Experimental Design
  4. MCQ on Correlation and Regression
  5. MCQ on z Test and its Applications

Leave a Reply

Your email address will not be published. Required fields are marked *