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1 Students

#### What Will You Learn?

• Understand the fundamentals of statistics
• Understand the probability in data analysis
• Learn how to work with different types of data
• Different types of distributions
• Apply statistical methods and hypothesis testing to business problems

#### Requirements

• Basic knowledge of high school mathematics

#### Curriculum

Course consist of total 5hr 6min of content

02:17
##### Section 2: Statistic Basics
36:53
Levels of Measurement
04:13
Measures of Central Tendency
05:11
Population and Sample
11:09
Measures of Dispersion
08:17
Quartiles and IQR
04:52
##### Section 3: Probability
34:35
Introduction to Probability
04:20
Permutations
04:25
Combinations
03:39
Intersection, Union and Complement
05:00
Independent and Dependent Events
04:30
Conditional Probability
03:02
05:16
Bayes’ Theorem
04:23
##### Section 4: Distributions
51:40
Introduction to Distribution
01:24
Uniform Distribution
02:31
Binomial Distribution
08:58
Poisson Distribution
16:58
Normal Distribution
09:50
Skewness
02:57
Standardization and Z Score
09:02
##### Section 5: Central Limit Theorem
08:56
Central Limit Theorem
08:56
##### Section 6: Hypothesis Testing
1:30:57
Hypothesis Testing and Hypothesis Formulation
12:06
Null and Alternative Hypothesis
11:40
Important Concepts in Hypothesis Testing
17:11
Exercise 1
05:53
Exercise 2
04:09
Type I and Type II Error
16:02
Students T-Distribution
10:31
Exercises on Students T-Distribution
13:25
##### Section 7: ANOVA - Analysis of Variance
52:13
ANOVA - Analysis of Variance
13:43
F Distribution
02:18
One-Way ANOVA
10:36
Two-Way ANOVA
09:17
Two-Way ANOVA Exercise
06:50
Two-Way ANOVA with Replication
09:29
##### Section 8: Regression Analysis
21:55
Linear Regression
07:21
Exercise on Linear Regression
06:14
Multiple Regression
08:20
07:31
Chi-Square Test
07:31