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TIME I.]UNIVERSITY OF MANTTOBASTATISTICAL QUALITY CONTROL: UNIVARIATE AND MULTIVARIATE\'TE CASESbyMARINAS.YOGENDRANA THESIS SUBMITTED TO TIME FACILITY OF GRADUATE STUDIES IN PARTIAL Fulfillment OF
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How to fill out univariate and multivariate analysis

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To fill out univariate analysis:
02
Start by collecting your data and organizing it in a spreadsheet.
03
Calculate basic statistics such as mean, median, mode, standard deviation, and variance for each variable.
04
Create histograms, box plots, or bar charts to visually represent the distribution of each variable.
05
Analyze the skewness and kurtosis of the variables to understand their symmetry and shape.
06
Interpret the results and draw conclusions about each variable's characteristics.
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To fill out multivariate analysis:
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Start by selecting the variables of interest.
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Conduct a correlation analysis to identify relationships between variables.
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Perform regression analysis to model the relationship between dependent and independent variables.
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Use techniques such as factor analysis or principal component analysis to reduce the dimensionality of the data.
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Interpret the results and draw conclusions about the relationships among variables.
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Who needs univariate and multivariate analysis?

01
Univariate analysis is needed by researchers, statisticians, data analysts, and anyone working with data.
02
Multivariate analysis is commonly used by researchers, statisticians, economists, social scientists, and data analysts.
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These analyses are helpful for understanding and describing data, identifying trends and patterns, making predictions, and making data-driven decisions.
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Univariate analysis involves the examination of a single variable to understand its distribution and characteristics, while multivariate analysis examines multiple variables simultaneously to understand relationships and interactions.
Organizations and researchers that collect or analyze data involving one or more variables are typically required to conduct and file univariate and multivariate analyses, especially in academic or regulatory contexts.
To fill out univariate and multivariate analysis, one must collect relevant data, choose appropriate statistical methods, apply the analysis techniques, and then interpret the results clearly, often using graphs and statistical summaries.
The purpose is to gain insights into individual variables (univariate) and to explore relationships between several variables (multivariate), helping in decision making, hypothesis testing, and understanding complex data structures.
Reports must include descriptive statistics, visual representations (like graphs), detailed findings, and interpretations of the results regarding variable relationships and distributions.
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