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When a researcher fails to reject Null Hypothesis when Null Hypothesis is false he has?
made a Type II error.made a Type II error.made a Type II error.made a Type II error.
True or false A theory is a hypothesis that has been proven true?
false
When making decision asking others for advice is not a recommended strategy true or false?
False
One is the additive identity true or false?
False.
Some arthropods are vertebrates true or false?
FALSE
If the null hypothesis is true and the researchers do not reject it then a correct decision has been made?
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.
When a researcher fails to reject Null Hypothesis when Null Hypothesis is false he has?
made a Type II error.made a Type II error.made a Type II error.made a Type II error.
How many types of errors in taking a decision about Ho?
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.
If a hypothesis is proven false something is wrong with the experiment. true false?
False.
If a hypothesis is proven wrong why is it still important?
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.
Is research only done after a hypothesis is written?
false
A hypothesis is a statement of fact true or false?
A hypothesis is a statement.
True or false developing a hypothesis is an important contributor to human error?
False. A very important contributor to human error is the false hypothesis or mistaken assumption.
Why must an hypothesis must be testable?
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.
What does it mean for hypothesis to be testable?
The hypothesis must be able to be proved true or false.
What is Hypothesis Testing of Power?
The probability of correctly detecting a false null hypothesis.
What conclusion can you draw about a hypothesis if repeated trial do not support the hypothesis?
That its wrong (false).
