What circumstances can a very small treatment effect still be significant?
Under what circumstances can a very small treatment effect be statistically significant? If the sample size is small and the sample variance is large. If the sample size is big and the sample variance is small.
What is the expected if the treatment has no effect?
What is expected if the treatment has no effect? -The sample mean should be very different from 80 and should lead you to fail to reject the null hypothesis.
Under what circumstances will the distribution of sample means be normal quizlet?
Under what circumstances is the distribution of sample means normal? If the sample size is greater than 30. If the population is normal or if the sample size is greater than 30. It is always normal.
Which of the following correctly describes the effect of increasing alpha for example from .01 to 05 )?
Which of the following correctly describes the effect of increasing the alpha level (for example, from . 01 to . 05)? Increase the likelihood of rejecting H0 and increase the risk of a Type 1 error.
What does level of significance mean in hypothesis testing?
The significance level, also denoted as alpha or α, is the probability of rejecting the null hypothesis when it is true. For example, a significance level of 0.05 indicates a 5% risk of concluding that a difference exists when there is no actual difference.Mar 19, 2015
What happens when you make a Type I error?
In statistics, a Type I error means rejecting the null hypothesis when it's actually true, while a Type II error means failing to reject the null hypothesis when it's actually false.Jan 18, 2021
Under what circumstances will the distribution of sample means being normal?
The general rule is that if n is more than 30, then the sampling distribution of means will be approximately normal. However, if the population is already normal, then any sample size will produce a normal sampling distribution.
Under what circumstances will the distribution of the sample mean be normal?
To summarize, the distribution of sample means will be approximately normal as long as the sample size is large enough. This discovery is probably the single most important result presented in introductory statistics courses. It is stated formally as the Central Limit Theorem.
Under what circumstances is the distribution of sample means a normal distribution?
When the distribution of the population is normal, then the distribution of the sample mean is also normal. For a normal population distribution with mean and standard deviation , the distribution of the sample mean is normal, with mean and standard deviation .
What is the disadvantage of using a smaller alpha level?
Lower values of α make it harder to reject the null hypothesis, so choosing lower values for α can reduce the probability of a Type I error. The consequence here is that if the null hypothesis is false, it may be more difficult to reject using a low value for α.
What happens when the alpha level increases?
If you increase alpha, you both increase the probability of incorrectly rejecting the null hypothesis and also decrease your confidence level.Oct 1, 2012
Which of the following correctly describes the effect of increasing the alpha?
Increasing the alpha level increases your chance of rejecting the null, but it also increases the chance of Type I error.