The Mathematics of Maybe: Introduction to Probability | Exercise 7.2

Question 3

Toss a coin 20 times and record the result each time (heads or tails).

(i) How many times did you get heads?

(ii) How many times did you get tails?

(iii) Calculate the experimental probability of getting heads.

(iv) If you toss the coin once more, what is the probability of getting tails?

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Solution
Understand the Question
  • This is an activity-based question based on experimental probability and independent events.
  • Experimental Probability is calculated using the observed outcomes: Experimental Probability=Number of favorable outcomesTotal number of trials\text{Experimental Probability} = \dfrac{\text{Number of favorable outcomes}}{\text{Total number of trials}}
  • For any single toss of a fair coin, the outcomes (heads or tails) are equally likely, so the theoretical probability of getting tails is always 12=0.5\dfrac{1}{2} = 0.5.
  • (Note: In this sample solution, we consider an experiment where tossing a coin 2020 times resulted in 1111 heads and 99 tails. Actual values may vary based on your experiment.)

(i) How many times did you get heads?

Step 1 · Record Number of Heads

From the experiment of 2020 tosses, suppose heads appears 1111 times.Diagram 1

Number of heads=11\text{Number of heads} = 11

Answer

(i) 1111

(ii) How many times did you get tails?

Step 1 · Calculate Number of Tails

Number of tails=Total tossesNumber of heads=2011=9\begin{aligned} \text{Number of tails} &= \text{Total tosses} - \text{Number of heads} \\[0.6em] &= 20 - 11 \\[0.6em] &= 9 \end{aligned}
Answer

(ii) 99

(iii) Calculate the experimental probability of getting heads.

Step 1 · Calculate Experimental Probability

P(Heads)=Number of headsTotal number of tosses=1120=0.55\begin{aligned} P(\text{Heads}) &= \dfrac{\text{Number of heads}}{\text{Total number of tosses}} \\[0.6em] &= \dfrac{11}{20} \\[0.6em] &= 0.55 \end{aligned}
Answer

(iii) 0.550.55

(iv) If you toss the coin once more, what is the probability of getting tails?

Step 1 · Find Probability of Tails for an Independent Toss

Each toss of a fair coin is independent of previous results. The two outcomes ({Heads,Tails}\{\text{Heads}, \text{Tails}\}) are equally likely.

P(Tails)=12=0.5P(\text{Tails}) = \dfrac{1}{2} = 0.5

Answer

(iv) 0.50.5

Common Mistakes
  • Gambler's Fallacy: Believing that previous results influence the next toss. Each toss is independent, so the theoretical probability of getting tails on a fresh toss remains 12=0.5\dfrac{1}{2} = 0.5.
  • Confusing Experimental and Theoretical Probability: Experimental probability depends directly on the observed data (1120\dfrac{11}{20} here), whereas the single-toss theoretical probability is 12\dfrac{1}{2} regardless of past results.

More questions in Exercise 7.2

Q1

A teacher mixes a large bag of sweets of different colours and randomly selects a sample of 30 sweets. She counts the number of sweets of each colour: 10 red sweets | 8 green sweets | 7 yellow sweets | 5 blue sweets

(i) Calculate the probability that a randomly picked sweet from the sample is green.

(ii) If there are 600 sweets in total in the large bag, estimate how many are likely to be yellow, based on the sample results.

Q2

A survey is conducted at a school where a random sample of 40 students is asked about their favourite club. The responses are are: 14 students: Science Club | 11 students: Arts Club | 9 students: Sports Club | 6 students: Debate Club Assume there are 800 students in the whole school.

(i) What is the probability that a randomly chosen student from the sample prefers the Arts Club?

(ii) Using the sample results, estimate how many students in the whole school are likely to prefer the Sports Club.

Q3

Toss a coin 20 times and record the result each time (heads or tails).

(i) How many times did you get heads?

(ii) How many times did you get tails?

(iii) Calculate the experimental probability of getting heads.

(iv) If you toss the coin once more, what is the probability of getting tails?

Q4

Toss a paper cup into the air 100 times. After each toss record whether the cup lands on its bottom, upside down on its top or on its side (See Fig. 7.5). Assign probabilities to the outcomes by using experimental probability.

Q5

What is the probability of getting an even number when rolling a fair 6-sided die?

Q6

Suppose you roll a 6-sided die 12 times and get a '3' three times.

(i) What is the experimental probability of rolling a '3'?

(ii) What is the theoretical probability of rolling a '3'?

(iii) Why might these probabilities be different? What would you expect to happen if you roll the die 60, 600, or 6000 times?

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