Solved (Free): The probability that a student selected at random is a male is 0.48, and a student likes statistics is 0.35

The probability that a student selected at random is a male is 0.48, and a student likes statistics is 0.35. The probability of selected at random a female who likes statistics is 0.25.

i. Construct a contingency table based on the information given above.
ii. What is the probability that a student selected at random is a male and likes statistics;
iii. What is the probability that a student selected at random is a female or likes statistics.

Solution

i. The probability that a student selected at random is a male is 0.48. Then the probability that a student selected at random is a female is (1-0.48 )= 0.52.

So if we assume that there are total 100 students, then 48 are male and 52 are female.

The probability that a student selected at random likes statistics is 0.35, so the probability that a student selected at random does not like statistics is (1-0.35) = 0.65.

Thus total number of students who likes statistics is 35 and those who does not like statistics is 65.

The probability of selected at random a female who likes statistics is 0.25. That is number of female students who likes statistics is 25.

ii. The probability that a student selected at random is a male and likes statistics is

$$ \begin{aligned} P(\text{Male}\cap \text{Like Statistics}) &= \frac{10}{100}\\ &= 0.10 \end{aligned} $$

iii. The probability that a student selected at random is a female or likes statistics is

$$ \begin{aligned} P(\text{Female}\cup \text{Like Statistics}) &= P(\text{Female}) + P(\text{Like Statistics}) - P(\text{Female}\cap \text{Like Statistics})\\ &=\frac{52}{100}+ \frac{35}{100}- \frac{25}{100}\\ &= \frac{62}{100}\\ &=0.62 \end{aligned} $$

Further Reading

• Statistics
• Descriptive Statistics
• Probability Theory
• Probability Distribution
• Hypothesis Testing
• Confidence interval
• Sample size determination
• Non-parametric Tests
• Correlation Regression
• Statistics Calculators