AI Level 3- Statistics

Descriptive Statistics

1
Introduction To Statistics

Types of Data

1
Categorical
2
Numerical

Level Of Measurements

1
Qualitative: Nominal and Ordinal
2
Quantitative: Interval, Ratio

Graphs Used to Represent Categorical Features

1
Bar Chart
2
Pareto Chart

Graphs Used to Represent Numerical Features

1
Histogram
2
Side by Side Bar Chart
3
Scatterplot

Measure of Central Tendency

1
Mean
2
Median
3
Mode

Measure of Distribution

1
Variance
2
Standard Deviation

Skewness and Kurtosis

Covariance and Correlation

Inferential Statistics

1
Distributions: Uniform, Binomial, Normal, Students T
2
Normal Distribution: Controlling Standard Deviation, Controlling Mean

Central Limit Theorem

1
Estimators(Mean, Variance, Correlation)
2
Estimates(Single Point and Confidence Intervals)

Confidence Intervals And Margin of Errors

1
Distribution
2
Students T Distribution

Hypothesis Testing

1
Null Hypothesis
2
Alternative Hypothesis
3
Level Of Significance: One Sided Test and Two Sided Test
4
Confusion Matrix
5
Methods of Hypothesis Testing Score, TScore

P Value

Final Assessment

Live Project

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AI Level 3- Statistics
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