QTM 100 Lecture Notes - Lecture 9: Summary Statistics, Confidence Interval, Box Plot

• School: Emory University
• Department: Quantitative Theory & Methods
• Course: QTM 100
• Professor: Prof.Gong

Document Summary

121 observations have differences that are not missing. The distribution of differences is normal: on average, the blood levels decrease from 1972 to 1973. Furthermore, it is independent because the data is paired. Lastly, based on the central limit theorem, since the sample size is. By assessing the population means, we calculated a t-test statistic of 3. 7644 and a p-value of 0. 0003. Since the p value was significantly lower than the level of significance, we rejected the null hypothesis. Furthermore, we are 95% confident that the true average difference is between 1. 598 and 5. 145. Because the p-value was a very small number (less than 0. 05), and the confidence interval does not include 0, we reject the null hypothesis. Furthermore, the mean in the lead group is much higher than the mean in the control group: explore the relationship between group and full scale iq (iqf). a)