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Explanation: A p-value less than 0.05 signifies that the probability of observing the test statistic, or something more extreme, under the null hypothesis is less than 5%. This threshold, commonly used in hypothesis testing, indicates strong evidence against the null hypothesis, prompting its rejection in favor of the alternative hypothesis. It is a measure of the strength of evidence, not absolute proof. This approach underpins statistical decision-making across fields, providing a rigorous standard for hypothesis evaluation. Option A: A p-value does not prove the null hypothesis; it measures evidence against it. Option B: Sample size affects power, but p-value interpretation does not inherently reflect sample size issues. Option D: Confidence intervals are separate from p-values and serve to estimate population parameters. Option E: A p-value below 0.05 typically indicates sufficient evidence to reject the null hypothesis.
Which Indian government scheme aims to promote entrepreneurship and self-employment among the urban poor by providing subsidized loans and skill develop...
Which of the following are good sources of new business ideas?
If an entrepreneur has an internal locus of control, this means that he/she:
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Which Indian government scheme aims to provide credit facilities to small and microenterprises in the manufacturing and service sectors?
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