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Inferential Statistics is a continuous of the material covered in Descriptive Statistics.

Inferential statistics allows us to draw conclusions from data that might not be immediately obvious. This course focuses on enhancing your ability to develop hypotheses and use common tests such as t-tests, ANOVA tests, and regression to validate your claims.

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This course will cover:

• estimating parameters of a population using sample statistics
• hypothesis testing and confidence intervals
• t-tests and ANOVA
• correlation and regression
• chi-squared test

Course Contents

• Lesson 1: Estimation
• Lesson 2: Hypothesis Testing
• Lesson 3,4: t-tests
• Lesson 5,6: ANOVA
• Lesson 7: Correlation
• Lesson 8: Regression
• Lesson 9: Chi-squared Tests

Projects

• Perform an analysis on the dataset of your choice and write a complete and comprehensive write up about your finding

Duration:

2 months

Assumes 6 Hour per week (work at your own pace)

Fees: – INR 11,940/Month (assuming $ = INR 60)

Part Time/Full time:

Part Time

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This course assumes basic understanding of Descriptive Statistics, specifically the following:

• calculating the mean and standard deviation of a data set
• central limit theorem
• interpreting probability and probability distributions
• normal distributions and sampling distributions
• normalizing observations

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[su_tab title = “Faculty”]

• Sean Laraway
• Ron Rogers
• Katie Kormanik

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[su_tab title = “Contact”]

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