Monday, July 29, 2019
Confidence Intervals Statistics Project Example | Topics and Well Written Essays - 500 words
Confidence Intervals - Statistics Project Example In addition, this paper will also compare male and female BMI values with the national averages and with the International Classification of adult underweight, overweight and obesity according to BMI. The average mean body index for men is about 27.62 (SD = 10.88). The margin of error (half width) for a 99% confidence is about 4.66 (See Appendix B for calculation). The 99% lower and upper confidence limits of BMI for men are Therefore, the 99% confidence interval for the mean body mass index for men is between 22.96 and 32.28. Thus, there is 99% chance that the mean body mass index for men falls in the interval (22.96, 32.28). The average mean body index for women is about (26.70 SD = 6.93). The margin of error for a 99% confidence is about 2.97 (See Appendix B for calculation). The 99% lower and upper confidence limits of BMI for women are Therefore, the 99% confidence interval for the mean body mass index for women is between 23.73 and 29.67. Thus, there is 99% chance that the mean body mass index for women falls in the interval (23.73, 29.67). It is known that men have a mean weight that is greater than the mean weight for women, and the mean height of men is greater than the mean height of women. The results suggest that men (M = 27.62, SD = 10.88) also have a mean body mass index that is greater than the mean body mass index of women (M = 26.70, SD = 6.93). However, the 99% confidence interval for the mean body mass index for women (23.73, 29.67) is narrower as compared to the 99% confidence interval for the mean body mass index for men (22.96, 32.28). Thus, the mean body mass index for women is less variable as compared to the mean body mass index for men. The U.S.à National Institutes of Healthà and theà Centers for Disease Control and Preventionà uses World Health Organizationà guidelines for classification of adult underweight, overweight and obesity according to BMI.
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