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Lab Manual: Probability of each Outcome or a Die | Lab Manuals for Class 9 PDF Download

Objective


To find experimental probability of each outcome of a die when it is thrown a large number of times.

Materials Required

  • Notebook
  • A fair die
  • Pen

Prerequisite Knowledge
Basic knowledge of probability and a fair die.

Theory

  • For basic knowledge of probability refer to Activity 33.
  • A fair die is small cube having dots, 1 to 6 on its faces.

Lab Manual: Probability of each Outcome or a Die | Lab Manuals for Class 9

Procedure

  • Firstly, divide the whole class in ten groups, say G1, G2, G3, …….., G10 of a suitable size.
  • Allow all groups to throw a die 100 times and ask them to note down the observations, i.e. the number of times the outcomes 1, 2, 3, 4, 5 or 6 come up.
  • If 1 appears in all the groups a times. Similarly, count the number of times each of 2, 3, 4, 5 and 6 has appeared. Denote them by b, c, d, e and f, respectively.
  • Now, find the probability of each outcome (E) by using the formula,
    Lab Manual: Probability of each Outcome or a Die | Lab Manuals for Class 9

Demonstration

  • There are 10 groups and all the groups throw a die 100 times. So, the total number of trials is 1000.
  • As, 1 has appeared a times.
    Hence, experimental probability of 1, P(1) = (a/1000)
    similarly, experimental probability of 2, P(2) = (b/1000)
    experimental probability of 3, P(3) = (c/1000)
    experimental probability of 4, P(4) = (d/1000)
    experimental probability of 5, P(5) = (e/1000)
    and  experimental probability of 6, P(6) = (f/1000)

Observations
Fill the results of your experiment in the table given below.
Lab Manual: Probability of each Outcome or a Die | Lab Manuals for Class 9

Hence,
P(1) = (?/1000)
P(2) = (?/1000)
P(3) = (?/1000)
P(4) = (?/1000)
P(5) = (?/1000)
P(6) = (?/1000)

Result
We have got the experimental probability of each outcome of a die, when it is thrown a large number of times.

Application
The knowledge of probability is used by many statistical institutions in estimating/predicting next action based on available data.

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