Question
In hypothesis testing, which of the following statements
best describes the null hypothesis?Solution
The null hypothesis (H0) in hypothesis testing represents a default position that there is no significant effect or relationship between the groups or variables being studied, and any observed difference is due to random chance. It serves as a baseline that researchers seek to test against the alternative hypothesis (H1), which proposes that there is a real effect or difference. Hypothesis testing aims to provide statistical evidence to either reject or fail to reject the null hypothesis, depending on whether the observed data supports a significant effect beyond random chance. Option A is incorrect as the null hypothesis assumes no significant difference, not the opposite. Option C is incorrect as the null hypothesis does not automatically accept the alternative hypothesis. Option D is incorrect because the null hypothesis can be used for any sample size, with different tests suited for small and large samples. Option E is incorrect because the null hypothesis acceptance or rejection does not imply certainty but rather a statistically significant likelihood.
15.99% of 549.99 ÷ 11.17 = ? ÷ 20.15
74.91% of 639.95 – 599.98% of 45 + 119.987 = ?
(4.88 × 5.76)2 - ?2 = 39.89 × 19.86
- What approximate value will come in place of the question mark (?) in the following question? (Note: You are not expected to calculate the exact value.)
- What approximate value will come in place of the question mark (?) in the following question? (Note: You are not expected to calculate the exactvalue.)
(1800.23 ÷ 29.98) + (816.32 ÷ 23.9) + 1634.11 = ?
1449.98 ÷ 50.48 × 10.12 = ? × 2.16
36.05 × 5.02 + 12.052 = ? + 9.09 × 4.04Â
(31.9)3 + (34.021)² - (16.11)3 - (42.98)² = ?