Hypothesis Flashcards
It is an assumption about the population parameter.
hypothesis
It is a population mean or proportion.
Parameter
It must be identified before analysis.
Parameter
It states the assumption (numerical) to be tested.
Null Hypothesis
Begin with the assumption that the null hypothesis is ________.
TRUE
It refers to the status quo.
Null Hypothesis
True or False. The null hypothesis can only be rejected.
False (it may or may not be rejected)
It is the opposite of null hypothesis.
Alternative Hypothesis
It always contain the “=” sign.
Null hypothesis
It challenges the status quo.
Alternative Hypothesis
It never contain the “=” sign.
Alternative Hypothesis
True or False. The alternative hypothesis may or may not be accepted.
True
Steps in Identifying the Problem.
- State the Null Hypothesis
- State its opposite, the Alternative Hypothesis
They are mutually exclusive and exhaustive.
Hypothesis
True or False. We can accept both the null and alternative hypothesis.
False. only one of the two
It defines unlikely values of sample statistic if null hypothesis is true.
Level of Significance
It is called the rejection region of sampling.
Level of Significance
It is designated with the symbol alpha and its typical value are 0.01, 0.05, and 0.10.
Level of Significance
It provides the critical value(s) of the test.
Level of Significance
What type of error reject true null hypothesis?
Type I Error
What is the probability of Type I error?
Level of Significance
What type of error fails to reject the false null hypothesis?
Type II Error
What is the probability of Type 2 Error?
Beta
True or False. Alpha and Beta have an converse relationship.
False. converse - inverse
What to do about the hypothesis if the z test statistic falls in critical region?
Reject Null Hypothesis, otherwise, do not reject
It is the probability of obtaining a test statistic more extreme (greater than or equal or less than or equal) than Actual Sample Value and given that Null Hypothesis is True.
p Value Test
It is called the observed level of significance.
p value
It is used to make rejection decision.
p value
If p value is greater than or equal to the level of significance, what do we do with the null hypothesis?
Do Not Reject Null Hypothesis
If p value is less than the level of significance, what do we do with the null hypothesis?
Reject Null Hypothesis
