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A low p-value, typically below 0.05, suggests that the observed data is unlikely to occur if the null hypothesis were true. This provides strong evidence to reject the null hypothesis in favor of the alternative hypothesis, indicating that there is a statistically significant effect or relationship present in the data. The threshold of 0.05 reflects a 5% risk of committing a Type I error (false positive), which is generally acceptable in many fields of research, making the result statistically reliable and meaningful. The other options are incorrect because: • Option 1 is incorrect; a low p-value provides evidence against, not for, the null hypothesis. • Option 2 misinterprets the p-value’s role, as a low p-value supports the alternative hypothesis. • Option 4 relates to power analysis, not directly to p-value interpretation. • Option 5 is incorrect; a low p-value suggests statistical significance, not sampling error.
Mughal ruler, Aurangzeb died in which year?
Until which year is the National Quantum Mission (NQM) being implemented, as approved by the Union Cabinet?
The intervention by the monetary authority of a country in the money market to keep the money supply stable against external shocks is called _______.
_________is the oldest public-sector bank of India.
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Which statement correctly reflects the feature of BBPS?
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When is Indian Army Day celebrated every year?
Anwar Ibrahim sworn in as tenth prime minister of which of the following country?
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