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What is the probability of getting a 1 when a fair die is tossed? A fair die is tossed 500 times - Junior Cycle Mathematics - Question a - 2012

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What is the probability of getting a 1 when a fair die is tossed? A fair die is tossed 500 times. The results are partially recorded in the table below. Number on ... show full transcript

Worked Solution & Example Answer:What is the probability of getting a 1 when a fair die is tossed? A fair die is tossed 500 times - Junior Cycle Mathematics - Question a - 2012

Step 1

What is the probability of getting a 1 when a fair die is tossed?

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Answer

The probability of getting a 1 when tossing a fair die is calculated using the formula:

P(1)=Number of favorable outcomesTotal outcomesP(1) = \frac{\text{Number of favorable outcomes}}{\text{Total outcomes}}

In this case, the number of favorable outcomes is 70 (the frequency of rolling a 1), and the total outcomes is 500 (the total number of tosses).

Thus, we have:

P(1)=70500=0.14P(1) = \frac{70}{500} = 0.14

Therefore, the probability of getting a 1 when a fair die is tossed is 0.14.

Step 2

Calculate the number of times a 3 appeared. Write your answer in the table above.

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The number of times a 3 appeared can be calculated as follows:

Total tosses = 500

The total frequency of the other numbers is:

70+82+90+91+81=41470 + 82 + 90 + 91 + 81 = 414

Hence, the number of times a 3 appeared is:

500414=86500 - 414 = 86

So, the answer is 86.

Step 3

Calculate the relative frequency of each outcome and write it into the table above. Give your answers correct to 2 decimal places.

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To calculate the relative frequency for each outcome, we can use the formula:

Relative Frequency=FrequencyTotal Frequency\text{Relative Frequency} = \frac{\text{Frequency}}{\text{Total Frequency}}

Calculating for each outcome:

  1. For Outcome 1: 70500=0.14\frac{70}{500} = 0.14
  2. For Outcome 2: 82500=0.16\frac{82}{500} = 0.16
  3. For Outcome 3: 86500=0.17\frac{86}{500} = 0.17
  4. For Outcome 4: 90500=0.18\frac{90}{500} = 0.18
  5. For Outcome 5: 91500=0.18\frac{91}{500} = 0.18
  6. For Outcome 6: 81500=0.16\frac{81}{500} = 0.16

Therefore, the relative frequencies rounded to two decimal places are:

  • Outcome 1: 0.14
  • Outcome 2: 0.16
  • Outcome 3: 0.17
  • Outcome 4: 0.18
  • Outcome 5: 0.18
  • Outcome 6: 0.16

Step 4

Give a possible reason for the difference in value between the relative frequency for 1 in the table and your answer to part (a).

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Answer

The difference in value between the relative frequency for 1 in the table and the calculated probability from part (a) could be attributed to experimental error. Since this is based on a limited number of tosses (500), random variations can affect the frequency of outcomes. Additionally, the law of large numbers states that as the number of trials increases, the experimental probability will converge towards the theoretical probability, which is 16\frac{1}{6} for a fair die.

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