MCQ on z Test and its Applications







A Z-test is a statistical method used to determine whether a sample mean significantly differs from a known population mean. It assesses standard deviations, sample size, and the difference between means to determine the statistical significance of the result. With this MCQ on Z Test, you can understand the basic concepts and applications of Z-test in biological research and data analysis.

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

The Z test is used to compare:

The Z test is based on the Z-score, which is the:

The Z-test assumes that the population variance is:

When conducting a Z test, if the calculated Z-score is greater than the critical value, what can be concluded?

The null hypothesis for a Z test states that:

The Z-test is an appropriate statistical test when the sample size is:

The standard error of the difference between two sample proportions is influenced by:

In a Z test for proportions, the degrees of freedom are calculated as:

The Z test is most commonly used when comparing proportions in which type of data?

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



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




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