Data interpretation:

Learning Goal: I’m working on a statistics exercise and need guidance to help me learn.

Data interpretation:

1) The analyses will be conducted using a T-test to analyze different groups. based on

the data size, nature of data, numerical or nominal, categorical, ordinal and the like.

2) Statistical analysis: using the Statistical Package for the Social Sciences software

(Statistical Package for the Social Sciences (SPSS), IBM Corporation, (version 23).

3) BMI will be calculated by using the CDC BMI Calculators- the ratio of weight to the

square of height (kg/m2).

4) MLR is done for the purpose of figuring the correlation between the dependent variables

and the independent variables.

– what percent of anthropomorphic (waist or hip circumference) values are determined by

Calcium or Vit.D.

5) Chi-square tests and multivariate logistic regression tests will use to assess the correlation

between abdominal obesity and calcium and vitamin D level.

– Chi-Square Test is used for verifying if categorical variables in a population are different

from the expected values. like the differences between educated groups and not educated

groups that are deficit in Calcium or Vit.D. Ditto for age groups.

• Change in body weight and VAT were adjusted for baseline variables found to be different between groups by using ANCOVA.
• 25(OH)D concentrations compared with baseline and change of BMI, VAT, and SAT at 16 wk was performed by using ANOVA

That what should be but if you recommended other analysis and give me similar result telling me. And I will share my data set once you accepted.