Business Statistics is the study of analyzing data and running statistical tests to make conclusions based on the statistical results. Business Statistics includes descriptive and inferential statistics, the use of discrete and continuous distributions in performing statistical testing, and parametricand non-parametric statistical methods depending on the level of measurement being analyzed.

We provide comprehensive Business Statistics tutoring for students including the following Business Statistics topics:

• Autocorrelation
• Autoregression
• Bar Charts Pareto Charts, Pie Charts
• Bayes Theorem
• Binomial Distribution
• Box and Whiskers Plots
• C Charts, P Charts, R Charts
• Chebyshev’s Theorem
• Chi-Square Test
• Cluster Sampling
• Coefficient of Determination
• Confidence Intervals
• Continuous Distribution
• Control Charts
• Convenient Sampling
• Cumulative Frequency
• Decision Analysis
• Dependent t Matched Pairs Test
• Discrete Distribution
• Dot Plots
• Exponential Distribution
• F-Distribution
• Frequency Distributions
• Friedman Test
• Goodness of Fit Test
• Histograms
• Homoscedasticity
• Hypergeometric Distribution
• Hypothesis Testing
• Hypothesis Testing for Proportions
• Hypothesis Testing for Sample Mean
• Hypothesis Testing for Two Means
• Hypothesis Testing for Two Proportions
• Independent Events
• Interquartile Range
• Joint Probability Distribution
• Kruskall-Wallis Test
• Kurtosis
• LCL and UCL
• Level of Measurement
• Logistic Regression
• Mann-Whitney U Test
• Mean, Median, Mode
• Measure of Central Tendency
• Moving Average Models
• Multicollinearity
• Mutually Exclusive Events
• Nominal, Ordinal, Interval Ratio
• Nonlinear Regression Models
• Nonparametric Statistics
• Normal Distribution
• One Way ANOVA
• Pearson Correlation Coefficient
• Percentiles
• Permutations and Combinations
• Poisson Distribution
• Power of a Test
• P-value Test
• Quartiles
• Quota Sampling
• Relative Frequency
• Runs Test
• Scatter Diagrams
• Seasonal Effects with Time Series Models
• Skewness
• Simple Average Models
• Simple Linear Regression
• Simple Random Sampling
• Spearman’s Rank Correlation
• Standard Deviation and Variance
• Stem and Leaf Plots
• Stratified Random Sampling
• T-Distribution
• Time Series Forecasting
• Tukey-Kramer Procedure
• Tukey’s Test
• Two Way ANOVA
• Type I and Type II Errors
• Uniform Distribution
• Unions and Intersections
• Weighted Moving Average Models
• Wilcoxon Matched Pairs Signed Rank Test
• z-Scores