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Question

In a health survey, 38 of 120 men and 24 of 80 women are found to be affected by nicotine by smoking. What is the probability of a randomly selected male being a smoker ?

The correct answer is
0.32

Probability of Male Smoker

This solution determines the likelihood of a randomly selected male participant being affected by nicotine from smoking, based on survey data.

Survey Data Analysis

The survey provides the following information specifically about men:

  • Total number of men surveyed: 120
  • Number of men found to be affected by nicotine (smokers): 38

Probability Calculation Method

Probability is calculated using the formula:

$ P(\text{Event}) = \frac{\text{Number of Favorable Outcomes}}{\text{Total Number of Possible Outcomes}} $

For this question, the event is selecting a male smoker.

  • Number of favorable outcomes (men who smoke): 38
  • Total number of possible outcomes (total men): 120

Men Smoker Probability Result

Applying the formula:

$ P(\text{Male Smoker}) = \frac{38}{120} $

Simplify the fraction:

$ P(\text{Male Smoker}) = \frac{19}{60} $

Convert to a decimal:

$ P(\text{Male Smoker}) \approx 0.3167 $

Rounded to two decimal places, the probability is 0.32.

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Important Questions from Probability and Statistics

  1. In a frequency curve, what is plotted on the vertical axis?

  2. If the probability of a bad reaction from a certain injection is 0.001, the chance that out of 2000 individuals, more than two will suffer of a bad reaction is

  3. If x and y are deviation from mean x̅ and y̅ respectively and if r = 0.5, ∑xy =  120, σy = 8 and ∑x 2= 90, what is the value of 'n' ?

  4. In an examination involving multiple choice questions, a student works out the solution in 50% of the questions. In the remaining questions the student guesses the answer. However, when the answer is guessed the probability that it is correct is 0.30. When the student works out the solutions it may be wrong with probability 0.10.

    If the answer to a particular question is correct, what is the probability that the student guessed the answer?

  5. The lengths of a large stock of titanium rods follow a normal distribution with a mean (μ) of 440 mm and a standard deviation (σ) of 1 mm. What is the percentage of rods whose lengths lie between 438 mm and 441 mm?

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