- A) To increase the sample size
- B) To improve the accuracy of results
- C) To test different types of bacteria
- D) To estimate bacteria concentration
Most Probable Number (MPN) Test
Total MCQ: 23
Quiz Leaderboard
1st
Sourav
Score: 90%
Questions: 20
2nd
Priyanka
Score: 90%
Questions: 10
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Nischal
Score: 90%
Questions: 10
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Vesnce
Score: 45%
Questions: 20
5th
Hector
Score: 40%
Questions: 10
6th
Hykss
Score: 20%
Questions: 10
2 Which of the following is NOT a common application of the MPN test?
- A) Water quality testing
- B) Dairy product safety
- C) Air quality monitoring
- D) Food safety testing
3 What does a positive MPN test result indicate?
- A) No bacteria present
- B) Low bacteria concentration
- C) High bacteria concentration
- D) Possible bacterial contamination
4 What is a “positive tube” in the context of the MPN test?
- A) A tube showing no bacterial growth
- B) A tube where bacteria are present
- C) A tube with contaminated sample
- D) A tube with no results
5 Which medium is commonly used in the MPN test?
- A) Nutrient agar
- B) EMB agar
- C) Lauryl tryptose broth
- D) MacConkey agar
6 How is the MPN result used in regulatory standards?
- A) To confirm the exact bacterial species
- B) To estimate bacterial concentrations for compliance
- C) To determine the bacterial strain
- D) To identify specific contamination sources
7 What does the MPN table help determine?
- A) Type of bacteria present
- B) Bacteria count estimate
- C) Antibiotic resistance
- D) Bacterial growth rate
8 What is a key advantage of the MPN test over other microbiological methods?
- A) Provides results more quickly
- B) Less expensive
- C) Requires fewer technical skills
- D) Estimates bacteria without direct counting
9 How is the MPN number usually expressed?
- A) In colony-forming units per milliliter
- B) As a percentage
- C) As a ratio
- D) In most probable number per 100 mL
10 What type of statistical analysis is used to interpret MPN test results?
- A) Descriptive statistics
- B) Inferential statistics
- C) Poisson distribution
- D) Chi-square test