Analytical Services
Providing the best learning experience.
( 150 USD )
Summarizes and describes the main features of a dataset through measures like mean, median, mode, variance, and standard deviation.
( 250 USD )
Draws conclusions and makes predictions about a population based on a sample from that population. Includes techniques like hypothesis testing, confidence intervals, and regression analysis.
( 200 USD )
Examines the relationship between two or more variables to determine if changes in one variable correspond to changes in another.
( 350 USD )
Predicts the value of one variable based on the value of one or more other variables. Includes linear regression, logistic regression, and polynomial.
( 200 USD )
Determines if there is a significant difference between the means of two groups.
( 200 USD )
Determines if there are statistically significant differences between the means of three or more groups.
( 200 USD )
Tests the association between two categorical variables in a contingency table.
( 300 USD )
Identifies underlying factors or latent variables that explain patterns of correlations among observed variables
( 350 USD )
Groups similar observations or objects into clusters based on their characteristics or attributes.
( 300 USD )
Analyzes data collected over time to identify patterns, trends, and seasonality.
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