Thedemographic variables in this study were age, height, weight, and theBMI. They are qualitative variables.
Themean was found to be 24.17 when the sample size was 21.This was 23.38when the sample size was 20(Oh, Yoo, Lee, Hyun, Ko, & Chu, 2014).The standard deviation was 27.31 and 26.70 for these two samplesrespectively. They were appropriate since they give the distributionof the data.
Thedistributions were different. This could be observed by thedifferences in the statistics in the values of the mean and standarddeviation.
Therewas a significant difference in the two variables. This was indicatedby the differences in the values of the p values and the samplesizes.
Frequencyin terms of the percentages of those who smoked was (100%-20%) =80%and (100%-21%) =79%
Thefrequency of the nondrinkers is 100%-20%=80% and 100%-20%=80% for thetwo samples respectively (Oh et al., 2014).
Thiswas an ordinal variable since two classes of the bones were studied.Descriptive statistics including measures of central tendencies andthose of center were recorded.
Thestatistics collected were the mean and standard deviation. They werestatistically different since the p values were less than 0.05
Theseare heterogeneous since they are dependent on each other. Testingtheir effectiveness is important since it would determine whether toaccept or reject the null hypothesis.
Sucha value of 99.6 % is high based on an alpha value of 0.05, andtherefore, it indicates that the effectiveness of the TLM programs isregarded to be good in relation to the study of the bones.
Thesample was adequately described since it was more than 30, which isthe minimum sample size in any study.
Oh,E. G., Yoo, J. Y., Lee, J. E., Hyun, S. S., Ko, I. S., & Chu, S.H. (2014). Effects of a Three‐MonthTherapeutic Lifestyle Modification Program to Improve Bone Health inPostmenopausal Korean Women in a Rural Community: A RandomizedControlled Trial. Researchin nursing & health, 37(4),292-301.