Contents
What is H1 and H0 hypothesis?
Alternative Hypothesis: H1: The hypothesis that we are interested in proving. Null hypothesis: H0: The complement of the alternative hypothesis. This is the probability of falsely rejecting the null hypothesis. Type II error: do not reject the null hypothesis when it is wrong.
What is μ in hypothesis testing?
where x is the sample mean, μ is the hypothesized population mean in the null hypothesis, and SE is the standard error. P-value. The P-value is the probability of observing a sample statistic as extreme as the test statistic.
What is H1 hypothesis called?
alternative hypothesis
The alternative hypothesis, H1 or Ha, is a statistical proposition stating that there is a significant difference between a hypothesized value of a population parameter and its estimated value. When the null hypothesis is tested, a decision is either correct or incorrect.
When to accept H A in a test of hypothesis?
Decision Rule: Accept H a if the calculated p-value < .05. Interpretation: At the .05 level of significance I conclude that the true mean final average of students using the computer in this statistics course is higher than those not using the computer. The usual structure for presenting the solution to a test of hypothesis was followed.
What should be the structure of a test of hypothesis?
The usual structure for presenting the solution to a test of hypothesis was followed. All test of hypotheses solutions should follow this structure. Since two different random samples were selected, the samples are independent.
When is the procedure for mu1-mu2 valid?
This procedure is valid when both populations are normally distributed, both samples are randomly selected, and the two samples are independent from each other. The procedure in this problem is also valid when large (30 or more) samples are randomly selected from any population, regardless of its original distribution.