1. What demographic variables were measured at the nominal level of measurement in the Oh et al. (2014) study? Provide a rationale for your answer.
The demographic variables that were measured at the nominal level of measurement were non-drinker, non-smoker, regular exercise, and history of fracture. Nominal data is information that contain two or more categories, however there is no numerical ordering in the values.
2. What statistics were calculated to describe body mass index (BMI) in this study? Were these appropriate? Provide a rationale for your answer.
The statistics calculated to describe the BMI in the study was the t statistic. This was appropriate because there were two different sample standard deviations for two samples, plus no population standard deviation.
3. Were the distributions of scores for BMI similar for the
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Based on the sample size of N = 41, what frequency and percentage of the sample smoked? What frequency and percentage of the sample were non-drinkers (alcohol)? Show your calculations and round to the nearest whole percent.
% of population (smokers) = 0/41 = 0%
% of population (non-drinkers) = 40/41 = 98%
6. What measurement method was used to measure the bone mineral density (BMD) for the study participants? Discuss the quality of this measurement method and document your response.
The DXA was used to measure the BMD, which would then be separated into three categories in osteoporosis (BMD t-score t < t -1.0).
7. What statistic was calculated to determine differences between the intervention and control groups for the lumbar and femur neck BMDs? Were the groups significantly different for BMDs?
The statistic calculated to determine the differences between the intervention and control groups for the lumbar and femur neck BMDs was the mean of the BMD. The groups were not significantly different as the t-values from both groups were 0.0526 and 0.055. Also, the p values of the lumbar and femur neck were .958 and .956