The Mathematics of Maybe: Introduction to Probability | Exercise 7.2

Question 4

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.

Question diagram 1
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Solution

We will find the experimental probability for each outcome by dividing the number of favorable outcomes by the total number of trials.

Step 1 — Note the observations

We tossed the paper cup 100 times. We recorded how it landed each time. It landed on its bottom 35 times. It landed on its top 15 times. It landed on its side 50 times.

Step 2 — Find probability for bottom

Let's find the probability for landing on the bottom. We use the formula for experimental probability. It is (favorable outcomes) / (total trials).

P(bottom)=Number of times it landed on bottomTotal number of tossesP(\text{bottom}) = \frac{\text{Number of times it landed on bottom}}{\text{Total number of tosses}}

=35100= \frac{35}{100}

35100\boxed{\frac{35}{100}}

Step 3 — Find probability for top

Now, let's find the probability for landing on the top. We use the same experimental probability formula.

P(top)=Number of times it landed on topTotal number of tossesP(\text{top}) = \frac{\text{Number of times it landed on top}}{\text{Total number of tosses}}

=15100= \frac{15}{100}

15100\boxed{\frac{15}{100}}

Step 4 — Find probability for side

Finally, let's find the probability for landing on its side. We apply the experimental probability formula again.

P(side)=Number of times it landed on sideTotal number of tossesP(\text{side}) = \frac{\text{Number of times it landed on side}}{\text{Total number of tosses}}

=50100= \frac{50}{100}

50100\boxed{\frac{50}{100}}

Diagram 1

Answer

(i) The probability of landing on its bottom is 35100\frac{35}{100}. (ii) The probability of landing on its top is 15100\frac{15}{100}. (iii) The probability of landing on its side is 50100\frac{50}{100}.

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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