Interview Questions for Business Analysts and Systems Analysts


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INTERVIEW QUESTION:

Describe the difference between univariate, bivariate and multivariate analysis?

Posted by Chris Adams

Article Rating // 3129 Views // 0 Additional Answers & Comments

Categories: Business Analysis, Data Analysis & Modeling, Analytical and Problem Solving Skills, General

ANSWER

Univariate analysis is the simplest form of data analysis where the data being analyzed contains only one variable. Since it's a single variable it doesn’t deal with causes or relationships.  The main purpose of univariate analysis is to describe the data and find patterns that exist within it

You can think of the variable as a category that your data falls into. One example of a variable in univariate analysis might be "age". Another might be "height". Univariate analysis would not look at these two variables at the same time, nor would it look at the relationship between them.  

Some ways you can describe patterns found in univariate data include looking at mean, mode, median, range, variance, maximum, minimum, quartiles, and standard deviation. Additionally, some ways you may display univariate data include frequency distribution tables, bar charts, histograms, frequency polygons, and pie charts.

Bivariate analysis is used to find out if there is a relationship between two different variables. Something as simple as creating a scatterplot by plotting one variable against another on a Cartesian plane (think X and Y axis) can sometimes give you a picture of what the data is trying to tell you. If the data seems to fit a line or curve then there is a relationship or correlation between the two variables.  For example, one might choose to plot caloric intake versus weight.

Multivariate analysis is the analysis of three or more variables.  There are many ways to perform multivariate analysis depending on your goals.  Some of these methods include Additive Tree, Canonical Correlation Analysis, Cluster Analysis, Correspondence Analysis / Multiple Correspondence Analysis, Factor Analysis, Generalized Procrustean Analysis, MANOVA, Multidimensional Scaling, Multiple Regression Analysis, Partial Least Square Regression, Principal Component Analysis / Regression / PARAFAC,  and Redundancy Analysis.

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Chris Adams
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Do your homework prior to the business analysis interview!

Having an idea of the type of questions you might be asked during a business analyst interview will not only give you confidence but it will also help you to formulate your thoughts and to be better prepared to answer the interview questions you might get during the interview for a business analyst position.  Of course, just memorizing a list of business analyst interview questions will not make you a great business analyst but it might just help you get that next job.





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