Stats 1 Week 2: Descriptive Statistics & Visualization

0. Prerequisites

NOTE

What you need to know:

  • Percentages: Part/Total * 100.
  • Fractions: 1/4 = 0.25 = 25%.
  • Basic Graphs: Reading X and Y axes.

Quick Refresher

  • Frequency (): How many times something happens.
  • Relative Frequency (): Proportion of total. .
  • Cumulative Frequency (): Running total.

1. Core Concepts

1.1 Frequency Distributions

  • Categorical Data:
    • Frequency Table: Lists categories and counts.
    • Relative Frequency: Useful for comparing groups of different sizes.
  • Numerical Data:
    • Grouped Frequency: Bins (e.g., 0-10, 10-20).
    • Class Width: Upper Limit - Lower Limit.

1.2 Graphical Representations

  1. Bar Chart: For Categorical data. Bars have gaps. Height = Frequency.
  2. Pie Chart: For Categorical data (Parts of a Whole).
    • Angle = .
  3. Pareto Chart: Bar chart sorted by frequency (High to Low) + Cumulative line. Used to find “Vital Few”.
  4. Histogram: For Numerical data. Bars touch. Area represents frequency.
  5. Stem & Leaf Plot: Preserves actual data values.
    • Example: 3 | 2 5 means 32, 35.

2. Pattern Analysis & Goated Solutions

Pattern 1: Reading Pie Charts (Aggregate Distribution)

Context: “Pie chart shows percentages. Total marks 500. Find total marks in Physics + Math.”

TIP

Mental Algorithm:

  1. Sum Percentages: Add the % for the required categories.
  2. Calculate Value: .

Example (Detailed Solution)

Problem: Total marks 500. Physics (25%), Math (30%), Bio (20%). Find aggregate marks. Solution:

  1. Sum %: .
  2. Calculate:
    • of 500.
    • . Answer: 375 marks.

Pattern 2: Stem and Leaf Plot Analysis

Context: “Find the Median from Stem and Leaf plot.” Data: 2 | 1 5 3 | 0 2 2 6 4 | 1

TIP

Mental Algorithm:

  1. List Data: Decode the plot into a sorted list.
  2. Count (): Total observations.
  3. Find Middle:
    • If is Odd: -th term.
    • If is Even: Average of and -th terms.

Example (Detailed Solution)

Problem: Find median of above plot. Solution:

  1. List: 21, 25, 30, 32, 32, 36, 41.
  2. Count: (Odd).
  3. Position: -th term.
  4. Identify: 1st(21), 2nd(25), 3rd(30), 4th(32). Answer: 32.

Pattern 3: Combined Relative Frequency

Context: “Find combined relative frequency of Academy A, B, and D.”

TIP

Mental Algorithm:

  1. Sum Frequencies: Add counts for A, B, D.
  2. Total Count: Find sum of ALL categories.
  3. Divide: .

Example (Detailed Solution)

Problem: A(10), B(20), C(30), D(40). Find combined RF of A, B, D. Solution:

  1. Sum A+B+D: .
  2. Total: .
  3. Divide: . Answer: 0.7.

3. Practice Exercises

  1. Pie Chart: If 20% is “Red” and Total is 200, how many Red?
    • Hint: .
  2. Histogram: Can you find the exact mode from a histogram?
    • Hint: No, only the modal class (interval).
  3. Bar vs Histogram: Which one for “Height of students”?
    • Hint: Height is continuous numerical Histogram.