Health Sciences 3801A/B Lecture Notes - Lecture 2: Standard Score, Standard Deviation, Statistical Hypothesis Testing

• School: Western University
• Department: Health Sciences
• Course: Health Sciences 3801A/B
• Professor: Andrew Johnson

Document Summary

The t-score: a t-score is another way of standardizing scores, by convention, it is a standard distribution with a mean of 50, and a sd of 10. Is a standard score (like z), but without negative values: t = 10z + 50, https://www. youtube. com/watch?v=lccjsivtx7c. Rejecting the null hypothesis: proposed effect is demonstrated when the null hypothesis is rejected . Stats lecture 2 notes hypothesis testing & standard scores. If you reject the null hypothesis, you may conclude that the alternative hypothesis (your research hypothesis) is likely to be correct. Decision matrix: type 1 error is an incorrect rejection of ho, type 2 error is an incorrect failure to reject ho, power is a correct rejection of ho. Absence of evidence is not evidence of absence carl sagan. If greater than x mean critical, reject ho. If lesser than x mean critical, reject ho. Non-directional hypothesis: there"s an x mean critical on both sides.