Data and Measurement-Introduction to Managing, Describing and Analyzing Data
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Welcome to Managing, Describing and Analyzing Data
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Data and Measurement-Data and Measurement
Attention Learners: R Code / File Resources
Types of Data and Measurement Scales
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Measurement Scales: Nominal and Ordinal
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Measurement Scales: Interval, Ratio and Absolute
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Measurement as a Process, The Big 5 Aspects of Data
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Data and Measurement-Sampling Concepts
Sampling Concepts
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Data and Measurement-Using R and RStudio
Working in RStudio
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Describing Data Graphically and Numerically-Displaying Data Through Time
Create a Run Chart
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Describing Data Graphically and Numerically-Frequency Visualizations
Frequency Distributions
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Frequency Polygons and Histograms
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Histogram Patterns and Density Plots
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Describing Data Graphically and Numerically-Box and Whisker Plots
Box and Whisker Plots
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Describing Data Graphically and Numerically-Measures of Central Tendency and Position
Measures of Central Tendency Mean
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Measures of Central Tendency: Median, Mode
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Measures of Position
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Describing Data Graphically and Numerically-Measures of Dispersion and Shape
Measures of Dispersion
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Measures of Shape
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Describing Data Graphically and Numerically-Measures of Relationship
Measures of Relationship
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Probability and Probability Distributions-Probability and Probability Distributions
Introduction to Probability Part 1
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Introduction to Probability Part 2
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Probability Distributions Part 1
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Probability Distributions Part 2
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Probability and Probability Distributions-Discrete Probability Distributions
The Binomial Distribution
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The Poisson Distribution
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Probability and Probability Distributions-Continuous Probability Distributions
The Normal Distribution
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The Exponential Distribution
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Sampling Distributions, Error and Estimation-Sampling Error
Sampling Error
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Sampling Distributions, Error and Estimation-Random Sampling Distributions and the Central Limit Theorem
Random Sampling Distributions
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The Central Theorem
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Probability with RSDs
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Sampling Distributions, Error and Estimation-Estimates and Estimators
Estimates and Estimators
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Sampling Distributions, Error and Estimation-Confidence Intervals
Confidence Intervals
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Confidence Intervals for the Mean and Variance
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Confidence Intervals for Proportions and Poisson Counts
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Two Sample Hypothesis Testing-Hypothesis Testing
Hypothesis Testing
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Significance Level and Risk
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One vs Two Tail
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Type 1 and 2 Error
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Two Sample Hypothesis Testing-Beta, Power and Sample Size
Beta and Power
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Calculating Power
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Calculating Sample Size
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Two Sample Hypothesis Testing-Testing for Differences / Changes in Means
Independent vs Dependent Samples
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Two Independent Sample Tests for Means
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Two Dependent Sample Tests for Means
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Two Sample Hypothesis Testing-Testing for Differences / Changes in Variances
Two Sample Tests for Variances
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Two Sample Hypothesis Testing-Testing for Differences / Changes in Proportions and Counts
Two Sample Tests for Proportions
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Two Sample Independent Tests for Poisson Counts
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