quita
Jordanjameire
week2.docx1. Does serving in the armed forces increase the likelihood of substance abuse? is my topic of discussion. I want to know why people take substances first and then become addicted, which is why I want to do this research. There are many reasons why people abuse substances, but what if one of those reasons is their time spent in the military? VETYEARS and EVIDU are the two variables I selected from the GSS data. The independent variable, VETYEARS, stands for years spent in the armed forces. The dependent variable, EVIDU, is a representation of R's total number of injections.
Independent variable (VETYEARS):
Dependent variable (EVIDU):
Explanation of the Output
The number of respondents who fit into each answer group for the survey question is indicated in the frequency column. Of the 2,348 respondents who completed the poll, 1,391 had legitimate responses, of which 41 were "Yes" and 1,350 were "No." The other responses fell into the invalid "IAP" and "NA" categories. The total proportion of respondents for each category is displayed in the percent column. The "Yes" receives a 2.9% and the "No" receives a 97.1% in the valid percent column, which only displays the percentage of each category out of 1,391 valid replies. From top to bottom in the table, the percentages of all the acceptable categories are added up in the cumulative percent column, which totals 100%.
Pie chart – independent variable VETYEARS:
The percentage of each valid response category for the number of years in the armed forces is shown on each slide of this pie chart, totaling 100%. It can be seen from the blue slide (89.47% of the pie) that the majority of survey participants had no military experience. 2.35% of responders who served for less than two years are depicted in the green slice. 4.31% of responders who served for two to four years are depicted in the red slice. 3.88% of respondents, as indicated by the orange slice, had more than four years of military service.
Pie chart – dependent variable EVIDU:
The percentage of each appropriate answer category for medications administered is shown on each slide of this pie chart, totaling 100%. The green slide displays the 97.05% of participants who stated they have never used an injection device. The percentage of respondents who acknowledged using injectable medications recreationally is displayed in the blue slice at 2.95%.
Independent variable (VETYEARS):
The average of the distribution of years spent in the military forces is shown by the central tendency measures. We just need to add together all of the VETYEARS values—both valid and missing and divide the total by the number of values to find the mean. The data indicates that the average number of years that respondents were in the armed forces was 0.23. When values are ordered from smallest to largest, the midway value is called the median. Since there is no median for years of service in this instance, it is.00.
The number that appears the most frequently in the data set is the mode. The mode in the table, which is 0, shows that the majority of respondents did not serve in the military. The dispersion metric shows the VETYEARS variation. Each number in the data set's variance is a measurement of its separation from the mean. The table's variance value is really low, indicating that the data points are in close proximity to both the mean and one another. The average deviation from the mean for all the data included in the VETYEARS is measured by the standard deviation, which is the square root of the variance. The data are grouped around the mean, as indicated by the comparatively low standard deviation number.
Dependent variable (EVIDU):
The average of the distribution of R ever injectable drug users is shown by the central tendency measures. The mean is calculated by dividing the total number of valid and missing EVIDU data by the total number of values. The mean number of people who have ever injected drugs is 1.97 in the table. When values are ordered from smallest to largest, the midway value is called the median. Based on the data, the median indicates never injecting drugs (2.00). The number that appears the most frequently in the data set is the mode.
The mode in this instance is 2, indicating that the majority of respondents said they had never used an injectable medicine. The dispersion measure shows the EVIDU fluctuation. Each number in the data set's variance is a measurement of its separation from the mean. The table's variance value is really low, indicating that the data points are in close proximity to both the mean and one another. The average departure from the mean for all the data included in the EVIDU is measured by the standard deviation, which is the square root of the variance.
The data are grouped around the mean, as indicated by the comparatively low standard deviation number.
The measure that is frequently employed with nominal variables is the mean, according to what I have learnt from this week's readings and classes. Since VETYEARS and EVIDU have nominal levels of measurement, I believe the mode to be the most accurate way to measure both of these variables. The majority of respondents have not served in the military, and the majority of people have never injected drugs; this is the mode, which summarizes the data for the variables in the frequency table.
References
Neave, H. R. (2022). Statistics tables: For mathematicians, engineers, economists and the behavioural and management sciences. Routledge.
Gunst, M. D., Klaassen, C., & Vaart, A. W. (2023). State of the art in probability and statistics: Festschrift for Willem R. Van Zwet. IMS.
Barnett, V. (2021). Environmental statistics: Methods and applications. John Wiley & Sons.
