10) state true or falseLevel of significance is the probability of accepting a false null hypothesis
The statement is true.
The probability of committing a type I error (rejecting the null hypothesis when it is actually true) is called α (alpha) the other name for this is the level of statistical significance.
10)Level of significance is the probability of accepting a false null hypothesis.
The power of a test is the probability of accepting a null hypothesis that is false. true or false?
If the chosen significance level is α = 0.05, then ________. A) there is a 5% probability of rejecting a true null hypothesis B) there is a 5% probability of accepting a true null hypothesis C) there is a 5% probability of rejecting a false null hypothesis D) there is a 5% probability of accepting a false null hypothesis
If a null hypothesis is rejected at the 0.10 significance level but not at the 0.05 significance level, then the p-value of the test is between 0.05 and 0.10. True or false?
If a null hypothesis is rejected at a significance level of 1%, then we should say that it was rejected at 1%. Reporting that the null was also rejected at the 5% level of significance is unnecessary and unwise. True or false?
The null hypothesis must be rejected at a 5% level of significance. The null hypothesis must be rejected at a 1% level of significance. The null hypothesis must be rejected at both a 5% and a 1% level of significance. None of the above. same set For a hypothesis testing problem with a given data set, you have rejected the null hypothesis at a 10% level of significance. For the same data set,
True or false The practical significance of a decision rejecting the null hypothesis should always be considered with every statistical test outcome.
When thinking about statistical hypothesis testing, power is A. the probability that the null hypothesis is true. B. the probability that the null hypothesis is false. C. the probability a false null hypothesis will be rejected. D. the probability a true null hypothesis will be rejected.
α is the probability of a Type I error, which occurs when we accept the alternative H1 when the null hypothesis Ho is true. True False A Type II error occurs when when a false null hypothesis is rejected. True False If a null hypothesis is rejected at the 5% significance level but not at the 1% significance level, then the p-value of the test is less than 1%. True False The power of a test is the probability of...
True or false. If the p-value is 6%, then we reject the null hypothesis and accept the alternative hypothesis at a significance level of 10% but not at a significance level of 5%. True or false?
Which statement best describes the significance level of a hypothesis test? The probability of obtaining a sample under the assumption that the null hypothesis is true that is more unusual than the observed sample b. The probability of making a Type 1 error The probability of making a Type Il error. d. The probability of correctly rejecting the null hypothesis.