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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.
√ 27556.11 × √ 624.9 – (22.02) 2 =? × 5.95
1120.04 – 450.18 + 319.98 ÷ 8.06 = ?
24.99 × 32.05 + ? - 27.01 × 19.97 = 29.99 × 27.98
Find the approximate value of Question mark(?). No need to find the exact value.
18.07 × (47.998 ÷ 12.03) + 59.78% of 150.14 – √(255.86) = ...
(124.901) × (11.93) + 219.95 = ? + 114.891 × 13.90
41.5% of ? + 64.69% of 419.1 = 504.2
10.10% of 999.99 + 14.14 × 21.21 - 250.25 = ?
{(1799.89 ÷ 8.18) ÷ 9.09 + 175.15} = 25.05% of ?
(27.08)2 – (14.89)2 – (22.17)2 = ?
159.98% of 4820 + 90.33% of 2840 = ? + 114.99% of 1980