Which statement is denoted by H1 and represents the opposite of the null hypothesis?

Which statement is denoted by H1 and represents the opposite of the null hypothesis?

• A. Alternative hypothesis
• B. Confidence Interval
• C. Point Estimate
• D. Margin of Error

Answer: (A)

In hypothesis testing, you compare a null hypothesis to an alternative hypothesis, and the statement H1 is the claim you’re trying to provide evidence for. H1 (often written Ha) is opposite to the null and represents the effect or difference you want to detect, and it can be one-sided or two-sided depending on the test. You decide to reject the null if the data show enough evidence in favor of this alternative at your chosen significance level. The other terms—confidence interval, point estimate, and margin of error—describe different ideas: a confidence interval gives a range of plausible values for the parameter, a point estimate is the single best sample-based value, and the margin of error indicates how far the estimate may be from the true parameter within the confidence level.

In hypothesis testing, you compare a null hypothesis to an alternative hypothesis, and the statement H1 is the claim you’re trying to provide evidence for. H1 (often written Ha) is opposite to the null and represents the effect or difference you want to detect, and it can be one-sided or two-sided depending on the test. You decide to reject the null if the data show enough evidence in favor of this alternative at your chosen significance level. The other terms—confidence interval, point estimate, and margin of error—describe different ideas: a confidence interval gives a range of plausible values for the parameter, a point estimate is the single best sample-based value, and the margin of error indicates how far the estimate may be from the true parameter within the confidence level.