STT 201

Business Statistics

TU BIM · Semester 3 · BIM curriculum effective from 2021

Requirement
required
Credits
3
Study Guide
9 units available

Chapter notes

Authoritative study guide across 9 syllabus units

Open a unit to read its study notes.

Unit 1: Describing Data using Graphs and Tables· 4 LHs· ~5 marks

Pass path: Construct frequency distribution tables, draw Histogram and Ogive curves, and calculate pie chart sector angles. Top path: Differentiate inclusive vs exclusive class intervals with true class boundaries, and determine Median and Quartiles graphically from intersecting Ogives.

Part 1: Core Concepts (2 Marks)

  • ★ Frequency Distribution: A tabular arrangement of data that groups raw measurements into mutually exclusive and exhaustive numerical class intervals, displaying the count of observations (frequency) falling into each class.
  • ★ Ogive Curve (Cumulative Frequency Curve): A continuous line graph plotting cumulative frequencies against class boundaries:
    • Less-than Ogive: Rising curve plotting cumulative frequency against upper class boundaries.
    • More-than Ogive: Falling curve plotting cumulative frequency against lower class boundaries.
    • Intersection Property: The XX-coordinate of the intersection point of Less-than and More-than Ogives corresponds exactly to the Median.
  • ★ Pie Chart Sector Angle Formula:
    Sector Angle θ=Component ValueTotal Value×360∘\text{Sector Angle } \theta = \frac{\text{Component Value}}{\text{Total Value}} \times 360^\circ

Part 2: Structural Frameworks (10 Marks)

1. Graphical Estimation of Partition Values from Ogives

When required to estimate the Median, Lower Quartile (Q1Q_1), and Upper Quartile (Q3Q_3) graphically:

  1. Construct Cumulative Frequency Table:
    • Compute cumulative frequency (cfcf) for all classes.
  2. Plot Less-Than Ogive:
    • XX-axis: Upper class boundaries.
    • YY-axis: Cumulative frequencies (cfcf).
  3. Locate Partition Position Markers on YY-axis:
    • For Median (Q2Q_2): Locate Y=N2Y = \frac{N}{2}.
    • For Lower Quartile (Q1Q_1): Locate Y=N4Y = \frac{N}{4}.
    • For Upper Quartile (Q3Q_3): Locate Y=3N4Y = \frac{3N}{4}.
  4. Project to XX-axis:
    • Draw a horizontal line from the calculated YY-value to intersect the Ogive curve.
    • Drop a vertical perpendicular down to the XX-axis.
    • The value read from the XX-axis is the estimated partition value.

Part 3: Distinction Tables

Histogram vs. Bar Diagram

Dimension Histogram Bar Diagram
Data Nature Continuous quantitative data Discrete quantitative or categorical qualitative data
Spacing Zero gaps between adjacent vertical rectangles Uniform, distinct spacing between bars
Dimensionality Two-dimensional: Area represents frequency One-dimensional: Height alone represents frequency
Class Boundaries Plotted over continuous mathematical intervals Plotted over discrete category labels

Part 4: Worked Problems & Exam Traps

Problem 1 (Standard): Pie Chart Angle Calculation

A company’s quarterly budget allocation is: Production NPR 500,000, Marketing NPR 250,000, R&D NPR 150,000, Administration NPR 100,000. Calculate sector angles for a Pie Chart.

  • Total Budget =500,000+250,000+150,000+100,000=NPR 1,000,000= 500{,}000 + 250{,}000 + 150{,}000 + 100{,}000 = \text{NPR } 1{,}000{,}000.
  • Production: 500,0001,000,000×360∘=180∘\frac{500{,}000}{1{,}000{,}000} \times 360^\circ = 180^\circ.
  • Marketing: 250,0001,000,000×360∘=90∘\frac{250{,}000}{1{,}000{,}000} \times 360^\circ = 90^\circ.
  • R&D: 150,0001,000,000×360∘=54∘\frac{150{,}000}{1{,}000{,}000} \times 360^\circ = 54^\circ.
  • Administration: 100,0001,000,000×360∘=36∘\frac{100{,}000}{1{,}000{,}000} \times 360^\circ = 36^\circ.
  • Verification: 180+90+54+36=360∘180 + 90 + 54 + 36 = 360^\circ.

Students lose marks here because when plotting Histograms for inclusive data (e.g., 10−19,20−2910-19, 20-29), they plot using class limits directly instead of converting to continuous true class boundaries (9.5−19.5,19.5−29.59.5-19.5, 19.5-29.5).