Why do we bother with Statistical Diagrams?
► The answer to this question is similar to the one for: “why do we bother working out averages and measures of spreads?”.
► We live in a world jam-packed full of statistics, and if we were forced to look at all the facts and figures in their raw, untreated form, not only would we probably not be able to make any sense out of them, but there is also a very good chance our heads would explode.
► Statistical Plots (Diagrams) – if they are done properly – present those figures in a clear, concise, visually pleasing way, allowing us to make some sense out of the figures, summarise them, and compare them to other sets of data.
The chapter of Statistics completely consists of a parrent category, 4 children categories, a tag and 80 posts.
1) Introduction to Statistics to Distinguish between Qualitative data and quantitative data
2) Presenting Data in Frequency Tables — Statistics
3) Presenting Data in Bar Graphs — Statistics
4) Presenting Data in Histograms — Statistics
5) Presenting Data Sets in Line Charts
6) Presenting Data Sets in Pie Charts
7) How to Make Leaf Diagrams?
8) The Range between the Largest and Smallest Values of the Data Set
9) Arithmetic Mean for Ungrouped Data — Statistics
10) Arithmetic Mean for Frequency Distribution — Statistics
11) The Mean of Continuous or Discrete Distribution (Grouped Data)
12) Examples of The Median for Ungrouped Data
13) Cumulative Frequency Tables and Graphs (Ogives) (10 Examples)
14) The Median Common Formula for Continuous or Discrete Distribution (Grouped Data)
15) Quartiles and the Interquartile Range for Ungrouped Data
16) The Quartile Common Formulae for Continuous or Discrete Distribution (Grouped Data)
17) Explaining Quartiles with Percentiles
18) The Mode of Ungrouped Data
19) The Mean, Median and Mode (Measures of Central Tendency)
20) The Mean, Median and Mode (more examples) (Measures of Central Tendency)
21) The Mean, Median and Mode of each Frequency Table
22) The Mode Common Formula for Continuous or Discrete Distribution (Grouped Data)
23) The Five Number Summary
24) Drawing Box-and-Whisker Plots (Boxplots)
25) Getting The Best Conclution From Comparing Boxplots (Box-and-Whisker Plots)
26) How is a Data Set either Symmetric or Skewed?
27) Mean Deviation
28) Difference between Population Variance and Sample Variance
29) Standard Deviation (with Calculation Examples)
30) Statistical Vocabulary
31) Summary Statistics
32) How to Draw a Scatter Plot and the Linear Regression Line Equation?
33) Drawing a Scatter Plot
34) How to Draw a Scatter Plot and its Linear Regression Line Equation?
35) Identification of Outliers — Effect of Outliers on mean and median