Correct decision
your welcome and yes took me a long time to find it, evn tho is was right in front of my face
made a Type II error.made a Type II error.made a Type II error.made a Type II error.
false
False
False. Speed can have a significant impact on decision-making processes. When making decisions, individuals must consider factors such as time constraints, urgency of the situation, and potential consequences of delaying action. Speed can influence the quality of decisions made, as quick decisions may be more impulsive and less thoroughly considered compared to decisions made with careful deliberation.
False.
True because the point of the hypothesis test is to figure out the probability of the null hypothesis being true or false. If it is tested and it is true, then you do not reject but you reject it, when it is false.
made a Type II error.made a Type II error.made a Type II error.made a Type II error.
There are two types of errors associated with hypothesis testing. Type I error occurs when the null hypothesis is rejected when it is true. Type II error occurs when the null hypothesis is not rejected when it is false. H0 is referred to as the null hypothesis and Ha (or H1) is referred to as the alternative hypothesis.
False.
false
Generally, creating a hypothesis is a no-win situation. The hypothesis you devise must be provable false. Your data will either prove your hypothesis false or it will fail to prove the hypothesis false. You can never prove a proper hypothesis true. Science does not prove truth, it simply discards the false.
A hypothesis is a statement.
False. A very important contributor to human error is the false hypothesis or mistaken assumption.
If a hypothesis does not generate any observational tests, there is nothing that a scientist can do with itRead more: Explain_why_a_hypothesis_must_be_testableANS2:If an hypothesis is not testable, it cannot be provable false. If it cannot be provable false it cannot be supported. If it cannot be supported, it adds nothing to science. An hypothesis is a "no-win" proposition. You need to try to prove it false. That being the case, you either prove it false (lose) or you fail to prove it false (lose). Failing to prove an hypothesis false is the basis for supporting it.
false
The hypothesis must be able to be proved true or false.
That its wrong (false).