- Statistics Tutorial
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- Adjusted R-Squared
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- Continuous Uniform Distribution
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- Cumulative Poisson Distribution
- Data collection
- Data collection - Questionaire Designing
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- Data collection - Case Study Method
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- Dot Plot
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- Process Capability (Cp) & Process Performance (Pp)
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- Qualitative Data Vs Quantitative Data
- Quartile Deviation
- Range Rule of Thumb
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- Relative Standard Deviation
- Reliability Coefficient
- Required Sample Size
- Residual analysis
- Residual sum of squares
- Root Mean Square
- Sample planning
- Sampling methods
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- Shannon Wiener Diversity Index
- Signal to Noise Ratio
- Simple random sampling
- Skewness
- Standard Deviation
- Standard Error ( SE )
- Standard normal table
- Statistical Significance
- Statistics Formulas
- Statistics Notation
- Stem and Leaf Plot
- Stratified sampling
- Student T Test
- Sum of Square
- T-Distribution Table
- Ti 83 Exponential Regression
- Transformations
- Trimmed Mean
- Type I & II Error
- Variance
- Venn Diagram
- Weak Law of Large Numbers
- Z table
- Statistics Useful Resources
- Statistics - Discussion
Statistics - Dot Plot
A dot chart or dot plot is a statistical chart consisting of data points plotted on a fairly simple scale, typically using filled in circles.
Example
Problem Statement:
A study of "To what extent does it take you to have breakfast?" has these outcomes:
| Minutes | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| People | 6 | 2 | 3 | 5 | 2 | 5 | 0 | 0 | 2 | 3 | 7 | 4 | 1 |
Draw the Dot Plot for Minutes to Eat Breakfast!
Solution:
6 individuals take 0 minutes to have breakfast (they most likely had no breakfast!), 2 individuals say they just burn through 1 moment eating, and so on. And here is the dot plot:
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