Business Statistics with R

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Business Statistics with R, Learn business statistics from basic to expert level through a practical course with R statistical software.

Created by Diego Fernandez

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What you'll learn

• Read S&P 500® Index ETF prices data and perform business statistics operations by installing related packages and running script code on RStudio IDE.
• Chart absolute frequency, relative frequency, cumulative absolute frequency and cumulative relative frequency histograms.
• Approximate sample mean, sample median central tendency measures and sample standard deviation, sample variance, sample mean absolute deviation dispersion measures.
• Estimate sample skewness, sample kurtosis frequency distribution shape measures and samples correlation, samples covariance association measures.
• Define normal probability distribution, standard normal probability distribution and Student’s t probability distribution for several degrees of freedom alternatives.
• Evaluate probability distribution goodness of fit through Kolmogorov-Smirnov, Cramer-von Mises and Anderson Darling tests.
• Approximate population mean, population proportion and bootstrap population mean point estimations.
• Estimate population mean, population proportion and bootstrap population mean confidence intervals assuming known or unknown population variance.
• Calculate population mean sample size assuming known or unknown population variance for specific margin of error.
• Approximate population mean two tails, right tail and population proportion left tail statistical inference tests probability values.
• Estimate paired populations means assuming equal population variances two tail statistical inference test probability value.
• Assess population mean two tails statistical inference test power for several levels of statistical significance or confidence alternatives.