Health Data Summary Assignment Discussion

Health Data Summary Assignment Discussion

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For the Final Project in this course, the “Independent Project” Assignment, analyze the data set linked here –

Independent Project Data – Excel File (137 KB)
and – using StatCrunch, provide the following for the variable(s) of your choice:

Frequency distribution of a variable and bar graph of the same variable
Descriptives of a continuous variable: mean, median, mode, skewness, kurtosis, standard deviation and graph of that variable.
Cross tabulation of two variables with the appropriate statistical test
Comparison of the national norm score of 2.1 to the scores in this sample regarding the variable MEIS Health Data Summary Assignment Discussion

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Comparison of the two groups (single variable) on a single continuous variable with the appropriate statistical test
Comparison of the effect of three or more groups (single variable) on a single continuous variable with the appropriate statistical test
Scatterplot and correlation of two continuous variables with the appropriate statistical test
Think carefully about what kind of variables to choose for the given tasks.

A short descriptive statement should accompany each of the above including a description of the variables used and any meaning that may be attached to the results. The goal is to be able to synthesize and apply the materials learned in class. Submit in a Word document.

Grading on this project is as follows: Health Data Summary Assignment Discussion

6 points for each task 1-7: 2 points each for variable choice, appropriate display/test, description of result. Type Course Code Course Name University School Password School Email Username

1. Frequency distribution of a variable and bar graph of the same variable

The marital status of the study participants is represented by this variable.

There were 579 individuals (0.62191192 or 62.19% of the total), 83 participants (0.08915145 or 8.92% of the total), 269 participants (0.28893663 or 28.89% of the total) who were divorced, and 83 participants (0.08915145 or 8.92% of the total) who were married. The proportion of each category to the total number of participants is displayed in the relative frequency column (931)Health Data Summary Assignment Discussion.

2. Descriptives of a continuous variable: mean, median, mode, skewness, kurtosis, standard deviation and graph of that variable.

Cross tabulation of two variables with the appropriate statistical test

The distribution of BMI values is considerably skewed to the right, as indicated by the skewness value of 0.96656291, which means that the majority of individuals have BMIs that are on the lower end of the range. A platykurtic distribution is one that is flatter and more dispersed than a normal distribution, as indicated by the kurtosis value of 1. 0304549.The most frequent value in the sample, as indicated by the mode value of 24.05, is this one.

This study will explore the association between race/ethnicity and education levels in the sample. Health Data Summary Assignment Discussion

The chi-square test result suggests that there is a significant correlation between race/ethnicity and education level (χ2(4) = 13.227, p = 0.0102). This means that the distribution of education levels is not the same across all race/ethnicity groupings. To ascertain which groups are responsible for the association, more analysis can be done, such as post-hoc tests or a review of the residuals.

3. Comparison of the national norm score of 2.1 to the scores in this sample regarding the variable MEIS

This analysis will compare the mean score of the participants in the study on the MEIS to the national norm score of 2.1.

According to the published summary statistics, the data set for the MEIS column contains 931 observations. The mean value is 1.9900107, the standard deviation is 1.1639648, and the variance is 1.3548141. The inaccuracy is 0.038147406 percent. The median value is 2, while the range is 4. The minimum value is 0, while the maximum value is 4. The first quartile (Q1) is 1, while the third quartile (Q3) is 3.

4. Comparison of the two groups (single variable) on a single continuous variable with the appropriate statistical test

This analysis will compare the mean height of male and female participants in the study.

The estimated t-statistic is 71.430318, with a p-value of less than 0.0001. This indicates that the observed difference in means (109.36305) is statistically significant and unlikely to be due to chance. Therefore, we can reject the null hypothesis (H0: μ1 – μ2 = 0) and conclude that there is a significant difference between the mean height and mean smoker. Health Data Summary Assignment Discussion

5. Comparison of the effect of three or more groups (single variable) on a single continuous variable with the appropriate statistical test

In this analysis, the study’s non-smokers, occasional smokers, and daily smokers will all have their mean BMIs compared.

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The ANOVA table demonstrates that the factor “smoking” has a significant effect on the BMI (F-statistic = 28.843092, p-value < 0.0001). This demonstrates that the BMI of smokers and non-smokers differs significantly.

6. Scatterplot and correlation of two continuous variables with the appropriate statistical test

The research will look at how the study sample’s weight and BMI are related

This implies a substantial positive link between weight and BMI. BMI tends to grow along with weight gain. Weight and BMI appear to have a very strong linear relationship, as indicated by the correlation coefficient of 0.89932598, which is statistically significant. Health Data Summary Assignment Discussion