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CIE IGCSE Maths Study Notes

8.2.2 Expected Frequencies

Understanding expected frequencies is crucial in predicting the outcomes of various events based on their probabilities. This concept allows us to estimate how often an event will occur over a number of trials, providing a foundational tool in the study of probability and statistics.

Introduction to Expected Frequencies

Expected frequency is a statistical measure used to predict how often an event will occur over a certain number of trials. It is calculated using the formula:

Expected Frequency=Probability of the Event×Number of Trials\text{Expected Frequency} = \text{Probability of the Event} \times \text{Number of Trials}

This concept is fundamental in probability theory and helps in making informed predictions about the outcomes of different scenarios.

Observed and Expected Frequencies

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Calculating Expected Frequencies

Formula:

Expected Frequency=P(E)×N\text{Expected Frequency} = P(E) \times N

Where:

  • P(E)P(E) is the probability of the event occurring
  • NN is the total number of trials

Example 1: Coin Toss

Given: A fair coin is tossed 100 times.

Find: Expected frequency of getting heads.

  • P(Heads)=0.5P(\text{Heads}) = 0.5
  • N=100N = 100
Expected Frequency of Heads=0.5×100=50\text{Expected Frequency of Heads} = 0.5 \times 100 = 50

Therefore, you would expect heads to appear 50 times out of 100 tosses.

Example 2: Dice Rolls

Given: A fair six-sided die is rolled 60 times.Find: Expected frequency of rolling a 4.

  • P(4)=16P(4) = \dfrac{1}{6}
  • N=60N = 60
Expected Frequency of Rolling a 4=16×60=10\text{Expected Frequency of Rolling a 4} = \frac{1}{6} \times 60 = 10

Thus, in 60 rolls of a die, a 4 is expected to appear 10 times.

Applying Expected Frequencies

Expected frequencies can predict outcomes in various scenarios, from simple games to complex scientific experiments.

Example 1: Drawing Balls from a Bag

Given: A bag contains 5 red, 3 blue, and 2 green balls. Balls are drawn 100 times with replacement.

Find: Expected frequency of drawing a red ball.

  • P(Red)=510=0.5P(\text{Red}) = \frac{5}{10} = 0.5
  • N=100N = 100
Expected Frequency of Red=0.5×100=50\text{Expected Frequency of Red} = 0.5 \times 100 = 50

Expect to draw a red ball 50 times out of 100 draws.

Example 2: School Survey

Given: 70% of students prefer online classes.

Find: Expected number of students preferring online classes out of 200 surveyed.

  • P(Online)=0.7P(\text{Online}) = 0.7
  • N=200N = 200
Expected Number Preferring Online=0.7×200=140\text{Expected Number Preferring Online} = 0.7 \times 200 = 140

Expect 140 out of 200 students to prefer online classes.

Practice Questions

Question 1

A spinner is divided into 5 equal sections, marked 1 through 5. If spun 500 times, what is the expected frequency of landing on section 3?

Solution:

Given a spinner divided into 5 equal sections and spun 500 times, we find the expected frequency of landing on section 3 as follows:

P(Section 3)=15,N=500P(\text{Section 3}) = \frac{1}{5}, \quad N = 500Expected Frequency of Section 3=15×500=100\text{Expected Frequency of Section 3} = \frac{1}{5} \times 500 = 100

Therefore, the spinner is expected to land on section 3 100 times out of 500 spins.

Question 2

A school has 60% boys and 40% girls. In a random sample of 100 students, how many are expected to be boys?

Solution:

Given that a school has 60% boys and a random sample of 100 students is taken, the expected number of boys is:

P(Boys)=0.6,N=100P(\text{Boys}) = 0.6, \quad N = 100Expected Number of Boys=0.6×100=60\text{Expected Number of Boys} = 0.6 \times 100 = 60

Hence, in a sample of 100 students, 60 are expected to be boys.

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