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Jan 9, 2024

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1 Introduction to Quantitative Analysis: Descriptive Analysis RSCH-8201: Quantitative Reasoning and Analysis Walden University Dr. Hijazi 2023

2 Introduction to Quantitative Analysis: Descriptive Analysis The aim of this paper is to describe Continuous and categorical variables within the Afrobarometer data set by specifically using the Q1 (age) and Number of adults in the household variables. The Q1 (age) variable mean will also be depicted, and further analysis will be provided on how the data within the data can be used to imply social change. Q1 (Age) Continuous Variable The categorial data analysis for Q1 (Age) can be described by analyzing the central tendency varies according to the distribution’s shape (Manikandan, 2011). The median of the Q1 (Age) variable is 37.23. The height of a person, weight, age, arm length, blood pressure, temperature, and glucose level are just some of the variables that can be used to describe continuous variables (Maya et al., 2017). The age represents a range of numbers in accordance with the year. Number of Adults living in the household (Categorical Variable)

3 The number of adults living in the household can be described as a categorial variable. Discrete or qualitative variable are other names for categorical variables. The operationalization of these variable into categories. A category count is used to express the variable’s value (Andrade, 2021). When data is combine into distinct groups, the number of people living in a home captures the outcomes. The age of the respondents and the size of the household may both explain the economic climate and influence of additional variables, which can be crucial for justifying future investigation into regional discrepancies. References

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4 Andrade C. (2021). A Student's Guide to the Classification and Operationalization of Variables in the Conceptualization and Design of a Clinical Study: Part 2. Indian journal of psychological medicine , 43 (3), 265–268. https://doi.org/10.1177/0253717621996151 Manikandan S. (2011). Measures of central tendency: Median and mode. Journal of pharmacology & pharmacotherapeutics , 2 (3), 214–215. https://doi.org/10.4103/0976- 500X.83300 Mayya, S. S., Monteiro, A. D., & Ganapathy, S. (2017). Types of biological variables. Journal of thoracic disease , 9 (6), 1730–1733. https://doi.org/10.21037/jtd.2017.05.75

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