4: One Sample Tests of Hypothesis Flashcards
___ is a statement about a population parameter subject to verification.
Hypothesis
___ is a procedure based on sample evidence and probability theory to determine whether the hypothesis is a reasonable statement.
Hypothesis testing
What are the 6-Steps for Testing a Hypothesis?
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Step 1: State the Null Hypothesis (H0) and the Alternate Hypothesis (H1)2. Step 2: Select a Level of Significance Step 3: Select the Test Statistic Step 4: Formulate the Decision Rule Step 5: Make a Decision Step 6: Interpret the Result
___ is a statement about the value of a population parameter developed for the purpose of testing numerical evidence.
Null hypothesis
___ is a statement that is accepted if the sample data provide sufficient evidence that the null hypothesis is false.
Alternative hypothesis
___ is the probability of rejecting the null hypothesis when it is true.
Level of significance
A ___ is a statement of specific conditions under which the null hypothesis is rejected and the conditions under which it is not rejected.
Decision rule
___ occurs when a true null hypothesis is rejected.
Type I Error (α)
___ occurs when a false null hypothesis is not rejected.
Type II Error (β)
___ is a value, determined from sample information, used to determine whether to reject the null hypothesis.
Test statistic
___ is the dividing point between the region where the null hypothesis is rejected and the region where it is not rejected.
Critical value
___ is the probability of observing a sample value as extreme as, or more extreme than, the value observed, given that the null hypothesis is true.
P-value
If the p-value is less than
(a) ___, we have some evidence that H0 is not true.
(b) ___, we have strong evidence that H0 is not true.
(c) ___, we have very strong evidence that H0 is not true.
(d) ___, we have extremely strong evidence that H0 is not true.
(a) .10
(b) . .05
(c) . .01
(d) . .001
A ___ test is a statistical test in which the critical area of a distribution is one-sided so that it is either greater than or less than a certain value, but not both. If the sample being tested falls into the one-sided critical area, the alternative hypothesis will be accepted instead of the null hypothesis.
One-tailed test
A ___ test is a statistical test in which the critical area of a distribution is two-sided and tests whether a sample is greater than or less than a certain range of values. If the sample being tested falls into either of the critical areas, the alternative hypothesis is accepted instead of the null hypothesis.
Two-tailed test