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  |




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