Why can't we increase the level of significance indefinitely?
Hi! Welcome to Chegg!
Ans:
The level of significance is defined as the probability of rejecting a null hypothesis by the test when it is really true, which is denoted as α. That is, P (Type I error) = α.
If higher level of significance is used then it would be easy for an estimate to look significant even when it is actually not. This can lead to fall in reliability on estimates.
If you are satisfied with the answer, please provide a positive rating. Feel free to comment in case of queries.
Have a nice day ahead!
We wish to test the claim that 22 at a level of significance of 0.05. We are given sample statistics n 35 and x-bar 21.1. Moreover, we are told that the population SD is ?-2.7. Compute the test statistic, rounded to two decimal places. -2.86 -3.12 We wish to test the claim that ? s 38 at a level of significance of ?-0.01 We are given sample statistics n40, and x-bar 39.8. Moreover, we are told that the population SD...
Why can't ionic bonds ever be "double" or "triple", and why don't we represent them as "lines between atoms" like we do for covalent bonds? there is one reason that answers both questions.
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?
Which of the following will increase the power of a significance test? (A) Increase the Type II Error probability (B) Increase the significance level alpha (C) Select a value for the alternative hypothesis closer to the value of the null hypothesis (D) Decrease the sample size. (E) Reject the null hypothesis only if the P-value is smaller than the level of significance.
why can't we maximize a non-convex function by applying bisection and newtons method?
Why we can't take antiseptic drugs such as chlorhexidine or iodine internally, while antibiotics such as penicillin can be taken internally?
. When we carry out a statistical test with significance level α = 5%, the probability of rejecting the null hypothesis when it is true is 5%. Suppose that we independently select 5 random samples of size 100, and for each sample carry out the same statistical test with significance level 5%. We know that the null hypothesis is true. What is the probability that we reject the null hypothesis at most once out of the 5 tests? (a) 0.02...
In confidence interval estimation, we define the level of significance as: a) 1 + confidence level I. b) confidence level-1 c) 1-confidence level d) α-1 e) 1-a If we are given a sample with ơ unknown, we should use the t-distribution unless the sample size a) 5 gb) 25 : c) 30 d) 500 e) none of these In hypothesis testing, we make a Type II error when we: a) fail to reject a true Ho b) reject a true...
Why can't we use an infinite number of terms in an FIR filter? In other words what is preventing us from using a very large number of terms in an FIR difference equation?
Which of the following is NOT true about the level of significance of a hypothesis test? The larger the significance, the higher the risk that we make an error The level of significance is the maximum risk we are willing to accept in making an error. The significance level is also called the α level The significance level is determined by your sample size