Statistics and Probability
• Class 8 Mathematics (CBSE/DAV)
• Prepared by: [Your Name]
• Subject: Mathematics
Learning Objectives
• • Understand data and its representation
• • Construct and interpret bar graphs and pie
charts
• • Calculate mean, median, and mode
• • Understand and calculate probability
through real-life examples
Introduction to Data and Statistics
• Statistics helps us collect, organize, and
interpret data.
• Examples: Survey of students’ favorite sport,
temperature records, test marks.
Types of Data
• • Raw Data – Unorganized data collected from
source
• • Grouped Data – Data organized in a
frequency table
• • Frequency – Number of times a value occurs
Steps in Data Handling
• 1. Collection of data
• 2. Organization of data
• 3. Representation using tables and graphs
• 4. Interpretation and analysis
Pictograph
• • Uses pictures or symbols to represent data.
• Example (from DAV Book):
• Number of books read by students in a week.
• 1 symbol = 2 books.
Bar Graph
• • Shows data using rectangular bars.
• Example: Marks scored by 5 students in a test.
• • Can be vertical or horizontal.
Double Bar Graph
• • Compares two related sets of data.
• Example: Marks of boys and girls in
Mathematics and Science.
Pie Chart (Circle Graph)
• • Represents data as parts of a circle.
• Example: Time spent in daily activities – study,
play, sleep.
Measures of Central Tendency
• Mean = Sum of observations ÷ Number of
observations
• Median = Middle value when data arranged in
order
• Mode = Most frequent observation
Example from DAV Book
• Marks obtained by 10 students: 12, 14, 10, 16,
18, 14, 10, 12, 16, 14
• Mean = 13.6
• Median = 14
• Mode = 14
Real-Life Applications
• • Weather forecasting uses statistics
• • Sports records and averages
• • Business sales analysis
Introduction to Probability
• Probability means the chance of an event
happening.
• Example: Getting a head on tossing a coin.
Key Terms
• Experiment – Action with outcomes
• Trial – Repetition of experiment
• Outcome – Result obtained
• Event – Desired result
Probability Formula
• Probability = (Number of favorable
outcomes) / (Total number of outcomes)
• Example: P(getting head) = 1/2
Examples
• • Tossing a coin – Probability of head = 1/2
• • Rolling a die – Probability of getting 3 = 1/6
• • Drawing a red card – 26/52 = 1/2
Activity / Quiz
• Q1: What is the mean of 10, 20, 30?
• Q2: Probability of getting an even number on
a die?
• Q3: Draw a bar graph for students' favorite
fruits.
Summary
• • Data can be represented through graphs and
charts.
• • Mean, median, and mode describe data.
• • Probability measures chance.
• • Both topics are used in daily life decisions.
Assessment
• 1. Construct a double bar graph using your
class data.
• 2. Find mean, median, and mode of marks in
Mathematics.
• 3. Find probability of getting tails when a coin
is tossed.
Thank You
• Reflect: Where do you see statistics and
probability in real life?
• (Weather, games, reports, etc.)

Statistics_and_Probability_Class8_DAV.pptx

  • 1.
    Statistics and Probability •Class 8 Mathematics (CBSE/DAV) • Prepared by: [Your Name] • Subject: Mathematics
  • 2.
    Learning Objectives • •Understand data and its representation • • Construct and interpret bar graphs and pie charts • • Calculate mean, median, and mode • • Understand and calculate probability through real-life examples
  • 3.
    Introduction to Dataand Statistics • Statistics helps us collect, organize, and interpret data. • Examples: Survey of students’ favorite sport, temperature records, test marks.
  • 4.
    Types of Data •• Raw Data – Unorganized data collected from source • • Grouped Data – Data organized in a frequency table • • Frequency – Number of times a value occurs
  • 5.
    Steps in DataHandling • 1. Collection of data • 2. Organization of data • 3. Representation using tables and graphs • 4. Interpretation and analysis
  • 6.
    Pictograph • • Usespictures or symbols to represent data. • Example (from DAV Book): • Number of books read by students in a week. • 1 symbol = 2 books.
  • 7.
    Bar Graph • •Shows data using rectangular bars. • Example: Marks scored by 5 students in a test. • • Can be vertical or horizontal.
  • 8.
    Double Bar Graph •• Compares two related sets of data. • Example: Marks of boys and girls in Mathematics and Science.
  • 9.
    Pie Chart (CircleGraph) • • Represents data as parts of a circle. • Example: Time spent in daily activities – study, play, sleep.
  • 10.
    Measures of CentralTendency • Mean = Sum of observations ÷ Number of observations • Median = Middle value when data arranged in order • Mode = Most frequent observation
  • 11.
    Example from DAVBook • Marks obtained by 10 students: 12, 14, 10, 16, 18, 14, 10, 12, 16, 14 • Mean = 13.6 • Median = 14 • Mode = 14
  • 12.
    Real-Life Applications • •Weather forecasting uses statistics • • Sports records and averages • • Business sales analysis
  • 13.
    Introduction to Probability •Probability means the chance of an event happening. • Example: Getting a head on tossing a coin.
  • 14.
    Key Terms • Experiment– Action with outcomes • Trial – Repetition of experiment • Outcome – Result obtained • Event – Desired result
  • 15.
    Probability Formula • Probability= (Number of favorable outcomes) / (Total number of outcomes) • Example: P(getting head) = 1/2
  • 16.
    Examples • • Tossinga coin – Probability of head = 1/2 • • Rolling a die – Probability of getting 3 = 1/6 • • Drawing a red card – 26/52 = 1/2
  • 17.
    Activity / Quiz •Q1: What is the mean of 10, 20, 30? • Q2: Probability of getting an even number on a die? • Q3: Draw a bar graph for students' favorite fruits.
  • 18.
    Summary • • Datacan be represented through graphs and charts. • • Mean, median, and mode describe data. • • Probability measures chance. • • Both topics are used in daily life decisions.
  • 19.
    Assessment • 1. Constructa double bar graph using your class data. • 2. Find mean, median, and mode of marks in Mathematics. • 3. Find probability of getting tails when a coin is tossed.
  • 20.
    Thank You • Reflect:Where do you see statistics and probability in real life? • (Weather, games, reports, etc.)