Transcription of Hypothesis Testing Cheat Sheet - QI Macros
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Hypothesis Testing Cheat Sheet - QI Macros
Hypothesis Testing Cheat Sheetrev 2-2022 Download 30-Day Trial at: 2022 KnowWare International S. Colorado Blvd., Ste. 555 Denver, CO 80222888-468-1537 or 303-756-9144 Key Concepts Hypothesis Testing uses statistical tests to determine if a Hypothesis is true. The null Hypothesis , H0, is the statement that there IS NO statistically significant difference or relationship between variables. Any differences that are observed are due to chance. It is a statement of no effect or no difference. It is the Hypothesis which a researcher tries to disprove, reject or nullify. The alternative Hypothesis , H1 or Ha, is the statement created by research-ers when they speculate upon the outcome of a research or experiment. The alternative Hypothesis states that there IS a statistically significant difference or relationship between variables. The alternative Hypothesis is what the researcher really thinks is the cause of a difference.
The alternative hypothesis states that there IS a statistically significant difference or relationship between variables. For example, we test whether a new drug increases weight loss by > 20%. null hypothesis (H 0): p ≤ 20%. alternative hypothesis (H 1):p > 20% Hypothesis Testing Is Not Just for Researchers Type I and Type II Errors
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