Statistics Essentials for Data Driven Decisions 11 Sections35 LessonsLifetime Access
Curriculum
- 11 Sections
- 35 Lessons
- Lifetime Access
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- Sample or population data?1 Item
- The fundamentals of descriptive statistics6 Items
- 2.1Exploring the Various Types of Data We Can Work With
- 2.2Understanding Levels of Measurement7 Minutes
- 2.3Applying Visualization Techniques for Categorical Variables
- 2.4Using a Frequency Distribution Table for Numerical Variables
- 2.5Creating Histogram Charts
- 2.6Working with Cross Tables and Scatter Plots
- Measures of central tendency, asymmetry, and variability6 Items
- 3.1Understanding the Main Measures of Central Tendency: Mean, Median and Mode
- 3.2Measuring Skewness in Data
- 3.3Calculating Variance to Measure How Data Is Spread Out
- 3.4Using Standard Deviation and the Coefficient of Variation
- 3.5Calculating and Understanding Covariance in Data
- 3.6Understanding the Correlation Coefficient
- Practical example: descriptive statistics1 Item
- Distributions6 Items
- Estimators and estimates7 Items
- 6.1Using Estimators and Estimates
- 6.2Using Confidence Intervals as an Invaluable Tool for Decision Making
- 6.3Calculating Confidence Intervals Within a Population: Known Variance
- 6.4Clarifying Confidence Intervals
- 6.5Introducing the Student’s T Distribution
- 6.6Calculating Confidence Intervals Within a Population: Unknown Variance
- 6.7Understanding the Margin of Error and Why It Is Important in Statistics
- Confidence intervals: advanced topics4 Items
- Practical example: inferential statistics1 Item
- Resources1 Item
- Practice Lab1 Item
- Claim Your Certificate1 Item
Statistics Essentials for Data Driven Decisions Practice Lab
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