Kinesiology 2032A/B Lecture Notes - Lecture 14: Confidence Interval, Internal Validity, Dependent And Independent Variables
Document Summary
Understand the concepts of sample size and confidence intervals, and the relationship between the two. Describe the difference between posttest only vs. pretest-posttest study design. Confidence interval: an interval of values within which there is a given level of confidence (e. g. , 95%) where the population value lies. 95% confidence that the true population value lies within this interval around the obtained sample. E. g. , " the results from the survey are accurate within 3 percentage points, using a 95% level of confidence. Ask random sample of students if they prefer to study at home or school. Actual population value is probably between 58% and 64% There is always a small chance the value is outside that range that"s risk we"re willing to take! N=34,000 (58-64% prefer to study at home) - 95% confident. Because you only had a sample (not full population), your results may be an error. Confidence interval = information about the likely amount of error.