Which term describes 'the probability value' in statistics?

Which term describes 'the probability value' in statistics?

• A. P value
• B. Mean
• C. Variance
• D. Standard deviation

Answer: (A)

P-value is the probability of obtaining a result as extreme as or more extreme than what was observed, assuming the null hypothesis is true. It measures how compatible the data are with the null and helps judge statistical significance. A small p-value means such data would be unlikely if the null were correct, supporting rejection of the null at your chosen alpha level (often 0.05). The mean is the average value and reflects central tendency, while variance and standard deviation describe how spread out the data are around the mean. They don’t convey the likelihood of the observed data under the null, which is the role of the p-value.

P-value is the probability of obtaining a result as extreme as or more extreme than what was observed, assuming the null hypothesis is true. It measures how compatible the data are with the null and helps judge statistical significance. A small p-value means such data would be unlikely if the null were correct, supporting rejection of the null at your chosen alpha level (often 0.05). The mean is the average value and reflects central tendency, while variance and standard deviation describe how spread out the data are around the mean. They don’t convey the likelihood of the observed data under the null, which is the role of the p-value.