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Next, if we look at the first column, we see that a total of 57 students chose gym class, out of whom 23 were female. By subtracting the two numbers we get the number of males who chose gym class.
Following similar steps, we can find all the other frequencies in the table. We need to remember to always move to a column or a row where only one value is missing.
We see that there are 33 females who prefer choir to gym. Now, the probability that a randomly selected student is female and prefers choir is the relative frequency of such students.
Female Students Who Prefer Choir/Total
In the table we see that there are a total of 106 surveyed students. Let's substitute the numbers and calculate the quotient.
33/106 &= 0.311320...
& ≈ 0.311
The probability that a randomly selected student is female and prefers choir is approximately 0.311, or about 31.1 %.
Each of those frequencies represents some probability. For example, there is a 0.151=15.1 % probability that a surveyed student is male and prefers choir. Moving on, we can find the sum of each row an each column. This will give us the marginal relative frequencies.
Now, the probability that a randomly selected male student prefers gym class is the probability that a student prefers gym class given that they are male. P(Gym|Male) This probability can be calculated using a conditional probability. P(Gym|Male) = P(Gymand Male)/P(Male) Looking at the table, we see that the probability that a random student is male and prefers gym equals 0.321. The total probability that a surveyed student is male is 0.472. Let's substitute the values. P(Gym|Male) = 0.321/0.472 We can now evaluate the ratio. P(Gym|Male) &= 0.321/0.472 & ≈ 0.680 The probability that a randomly selected male student prefers gym class is approximately 0.680, or 68 %.