MCQ on Z Test with Answers (Advanced Level)

Z Test MCQs: A Z-test is a statistical method used to determine whether there is a significant difference between the means of two groups, typically when the sample size is large (usually n > 30). It compares the sample mean to the population mean or compares two sample means. The Z-test assumes that the data follows a normal distribution and that the population variance is known. The test calculates a Z-score, which indicates how many standard deviations an observed value is from the mean. If the Z-score exceeds a critical value, the null hypothesis is rejected, suggesting a significant difference. This is an advanced MCQ on Z Test with Answer Key (PG  Level). You can Download these MCQ questions as PDF from the download link provided below the quiz.

Biostatistics Notes  |  Biostatistics PPTs  |  Biostatistics MCQs

1. 
The Z-test is most appropriate for which of the following situations?

2. 
Which of the following is an assumption required for the validity of the Z-test?

3. 
In a one-sample Z-test, what does the Z-statistic measure?

4. 
What does a Z-score of 2.5 indicate in a Z-test?

5. 
When conducting a two-tailed Z-test, what is the critical Z-value at a 5% significance level?

6. 
If a Z-test for a population mean returns a p-value of 0.04, and the significance level (alpha) is 0.05, what conclusion should be drawn?

7. 
What is the primary difference between a Z-test and a t-test?

8. 
For which of the following scenarios is the use of a Z-test inappropriate?

9. 
What is the effect of increasing the level of confidence in a Z-test (e.g., from 95% to 99%) on the width of the confidence interval?

10. 
In a two-tailed Z-test for a population mean, if the calculated Z-value is less than the critical Z-value, what decision should be made regarding the null hypothesis?

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