Relative Frequency Statistics Example 2

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Example 2

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A die is rolled 200 times with results: 1→30, 2→38, 3→35, 4→32, 5→28, 6→37. Calculate the relative frequency for each outcome and discuss whether the die appears fair.

Solution

  1. 1
    Step 1: Calculate relative frequencies: 1: 30200=0.15\frac{30}{200}=0.15, 2: 38200=0.19\frac{38}{200}=0.19, 3: 35200=0.175\frac{35}{200}=0.175, 4: 32200=0.16\frac{32}{200}=0.16, 5: 28200=0.14\frac{28}{200}=0.14, 6: 37200=0.185\frac{37}{200}=0.185.
  2. 2
    Step 2: For a fair die, each relative frequency should be approximately 160.167\frac{1}{6} \approx 0.167.
  3. 3
    Step 3: All values are between 0.14 and 0.19, which are reasonably close to 0.167 for 200 trials. The die appears approximately fair — the small deviations are consistent with normal random variation.

Answer

Relative frequencies range from 0.14 to 0.19, all close to the theoretical 160.167\frac{1}{6} \approx 0.167. The die appears fair.
Relative frequency provides an empirical estimate of probability. With enough trials, relative frequencies approach theoretical probabilities (law of large numbers). Small deviations from expected values are normal and do not necessarily indicate an unfair die.

About Relative Frequency

Relative frequency is the fraction or percentage of times a value occurs out of the total number of observations. It converts raw counts into proportions, enabling fair comparisons between groups of different sizes.

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