Chapter 9 Flashcards
Alternative Hypothesis
The hypothesis concluded to be true if the null hypothesis is rejected.
Critical Value
A value that is compared with the test statistic to determine whether H0 should be rejected.
Level of Significance
The probability of making a Type I error when the null hypothesis is true as an equality.
Minimum Significance Difference
The smallest difference between a point estimate and a hypothesized value of a parameter that will result in rejection of the null hypothesis for a given level of significance
Null Hypothesis
The hypothesis tentatively assumed true in the hypothesis testing procedure.
One-Tailed test
A hypothesis test in which rejection of the null hypothesis occurs for values of the test statistic in one tail of its sampling distribution.
Practical Significance
The usefulness or meaningfulness to a decision maker of the difference between a point estimate and the hypothesized value of a parameter.
p-Value
A probability that provides a measure of the evidence against the null hypothesis provided by the sample. Smaller p-values indicate more evidence against H0. For a lower tail test, the p-value is the probability of obtaining a value for the test statistic as small as or smaller than that provided by the sample. For an upper tail test, the p-value is the probability of obtaining a value for the test statistic as large as or larger than that provided by the sample. For a two-tailed test, the p-value is the probability of obtaining a value for the test statistic at least as unlikely as or more unlikely than that provided by the sample.
Test Statistic
A statistic whose value helps determine whether a null hypothesis should be rejected.
Two-Tailed Test
A hypothesis test in which rejection of the null hypothesis occurs for values of the test statistic in either tail of its sampling distribution.
Type I Error
The error of rejecting H0 when it is true.
Type II Error
The error of accepting H0 when it is false.
