SUMMARY
This discussion focuses on determining the correct quantile for one-sided hypothesis tests, specifically for greater than scenarios. Participants emphasize the importance of using the standard Normal Table to find the appropriate quantiles corresponding to a given level of significance. The conversation highlights the need for clarity in selecting the correct option from multiple choices provided in the context of hypothesis testing.
PREREQUISITES
- Understanding of one-sided hypothesis tests
- Familiarity with significance levels in statistical testing
- Knowledge of standard Normal Tables
- Basic concepts of quantiles in statistics
NEXT STEPS
- Research how to interpret standard Normal Tables for hypothesis testing
- Learn about calculating significance levels in one-sided tests
- Explore the implications of selecting incorrect quantiles in hypothesis testing
- Study the differences between one-sided and two-sided hypothesis tests
USEFUL FOR
Statisticians, data analysts, and researchers involved in hypothesis testing and statistical analysis will benefit from this discussion.
we can find the 
quantile 
which satisfies
quantiles for 
and 
and indicate which of the following statements is correct.Select one:
