Overview:

In this course, you will learn how to summarize small samples or large amounts of data graphically and mathematically to reach sound conclusions; utilize the predictive power of probability distributions to project process performance in advance; accurately estimate population characteristics; evaluate sample data; analyze data that does not fit into a particular distribution pattern; develop mathematical models to predict business results; and determine the strength and direction of the relationship between two variables.

What You Will Learn:

• Analyze and summarize sample data
• Develop mathematical models to predict business results
• Predict process performance using probability distributions
• Provide useful information using an effective data collection system 

Course Contents

• Descriptive statistics
  - Histograms
  - Descriptive statistics
• Mean
• Median
• Mode
  - Standard Deviation
  - Skewness
  - Kurtosis
• Probability distributions
  - Hypergeometric
  - Binomial
  -Poisson
  - Normal
  - Exponential
  - Chi Square
  - F
  - Student t
• Inferential statistics
  - Confidence
  - Risks
• Confidence intervals
  - Means
  - Proportions
  - Standard deviations
• Tests of hypothesis
  - Means
  - Proportions
  - Standard Deviations
• Regression models
  - Linear
  - Multivariate
• Correlation analysis