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Problem: A six-sided die is thrown once. Find the probability of getting a number which is a multiple of 3.

Mathematics

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  1. Problem

    A six-sided die is thrown once. Find the probability of getting a number which is a multiple of 3.

    • Step 1: Identify the total possible outcomes when rolling a six-sided die. The sample space is {1,2,3,4,5,6}\{1, 2, 3, 4, 5, 6\}. Total number of outcomes = 6.
    • Step 2: Identify the favorable outcomes (multiples of 3). The multiples of 3 in the sample space are {3,6}\{3, 6\}. Number of favorable outcomes = 2.
    • Step 3: Calculate the probability. P(multiple of 3)=Number of favorable outcomesTotal number of outcomes=26=13P(\text{multiple of 3}) = \frac{\text{Number of favorable outcomes}}{\text{Total number of outcomes}} = \frac{2}{6} = \frac{1}{3} The probability of getting a multiple of 3 is 13\boxed{\frac{1}{3}}.
  2. Problem

    A fair die is rolled once. Find the probability of a 4 showing up.

    • Step 1: Identify the total possible outcomes when rolling a fair die. The sample space is {1,2,3,4,5,6}\{1, 2, 3, 4, 5, 6\}. Total number of outcomes = 6.
    • Step 2: Identify the favorable outcome (a 4 showing up). The favorable outcome is {4}\{4\}. Number of favorable outcomes = 1.
    • Step 3: Calculate the probability. P(4 showing up)=Number of favorable outcomesTotal number of outcomes=16P(\text{4 showing up}) = \frac{\text{Number of favorable outcomes}}{\text{Total number of outcomes}} = \frac{1}{6} The probability of a 4 showing up is 16\boxed{\frac{1}{6}}.
  3. Problem

    A letter is chosen at random from the letters of the word "EXCELLENT". What is the probability that the letter "E" is chosen?

    • Step 1: Count the total number of letters in the word "EXCELLENT". The letters are E, X, C, E, L, L, E, N, T. Total number of letters = 9.
    • Step 2: Count the number of times the letter "E" appears. The letter "E" appears 3 times. Number of favorable outcomes = 3.
    • Step 3: Calculate the probability. P(choosing E)=Number of E’sTotal number of letters=39=13P(\text{choosing E}) = \frac{\text{Number of E's}}{\text{Total number of letters}} = \frac{3}{9} = \frac{1}{3} The probability that the letter "E" is chosen is 13\boxed{\frac{1}{3}}.
  4. Problem

    In a bag there are 4 blue marbles, 3 red marbles and 2 white marbles. What is the probability of picking at random a red marble?

    • Step 1: Calculate the total number of marbles in the bag. Total marbles = 4(blue)+3(red)+2(white)=94 (\text{blue}) + 3 (\text{red}) + 2 (\text{white}) = 9 marbles.
    • Step 2: Identify the number of red marbles. Number of red marbles = 3.
    • Step 3: Calculate the probability of picking a red marble. P(picking a red marble)=Number of red marblesTotal number of marbles=39=13P(\text{picking a red marble}) = \frac{\text{Number of red marbles}}{\text{Total number of marbles}} = \frac{3}{9} = \frac{1}{3} The probability of picking a red marble is 13\boxed{\frac{1}{3}}.
  5. Problem

    The probability that a boy will be late for school on any particular day is xx. Find, in terms of xx, the probability that he will not be late for school.

    • Step 1: Understand the relationship between an event and its complement. The probability of an event happening plus the probability of it not happening is equal to 1. P(event)+P(not event)=1P(\text{event}) + P(\text{not event}) = 1.
    • Step 2: Apply this to the given problem. Let P(late)P(\text{late}) be the probability that the boy is late, which is given as xx. Let P(not late)P(\text{not late}) be the probability that the boy is not late. P(not late)=1−P(late)P(\text{not late}) = 1 - P(\text{late}) P(not late)=1−xP(\text{not late}) = 1 - x The probability that he will not be late for school is 1−x\boxed{1 - x}.
  6. Problem

    The probability of Kasukulu waking up late is 0.3. What is the probability that she will wake up early?

    • Step 1: Assume that "waking up early" is the complement of "waking up late". The sum of the probabilities of these two events must be 1. P(late)+P(early)=1P(\text{late}) + P(\text{early}) = 1.
    • Step 2: Use the given probability to find the unknown probability. Given P(late)=0.3P(\text{late}) = 0.3. P(early)=1−P(late)P(\text{early}) = 1 - P(\text{late}) P(early)=1−0.3P(\text{early}) = 1 - 0.3 P(early)=0.7P(\text{early}) = 0.7 The probability that she will wake up early is 0.7\boxed{0.7}.
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