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Indian Navy AA (Artificer Apprentice) Probability — practice questions

Explore 33 free Probability questions in Indian Navy AA (Artificer Apprentice) Mathematics. Open each question or exercise to read its content, reference answers and available explanation.

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Probability questions and exercises with answers

Showing questions 1–30 of 33.

A **discrete** random variable is one whose possible values:Read the answer and worked solution →The **cumulative distribution function (c.d.f.)** $F(x)$ of a discrete random variable is:Read the answer and worked solution →Two dice rolled. P(sum = 7) =Read the answer and worked solution →Standard deviation has the same units as:Read the answer and worked solution →The probability of getting a 3 when a fair die is rolled once is:Read the answer and worked solution →The probability of getting an even number on a single roll of a fair die is:Read the answer and worked solution →A card is drawn from a deck of 52. Given that the card is RED, what is the probability that it's a KING?Read the answer and worked solution →Complete the definition of conditional probabilityRead the answer and worked solution →True or false: conditional probabilityRead the answer and worked solution →Independent or mutually exclusive?Read the answer and worked solution →Match each rule to its nameRead the answer and worked solution →IndependenceRead the answer and worked solution →Order the steps for a Bayes' theorem questionRead the answer and worked solution →Complete the conditions for a partitionRead the answer and worked solution →True or false: independence versus exclusivityRead the answer and worked solution →Assertion and reasonRead the answer and worked solution →Tap every statement that follows from independenceRead the answer and worked solution →The multiplication ruleRead the answer and worked solution →Spot the one that does not belongRead the answer and worked solution →Two are true, one is notRead the answer and worked solution →Three of these are wrong. Find the one that holds.Read the answer and worked solution →Complete the theorem of total probabilityRead the answer and worked solution →Which theorem answers which question?Read the answer and worked solution →True or false: total probability and BayesRead the answer and worked solution →Match each historical figure to their contributionRead the answer and worked solution →The Historical NoteRead the answer and worked solution →Flip and pair: notation with meaningRead the answer and worked solution →Order the reasoning: from a partition to a posteriorRead the answer and worked solution →Tap every quantity that is a probabilityRead the answer and worked solution →Spot the odd one outRead the answer and worked solution →

Worked practice questions

A **discrete** random variable is one whose possible values:

  1. Are finite or countably infinite
  2. Form an interval of real numbers (uncountably infinite)
  3. Are always negative
  4. Are obtained only by measurement
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Correct answer: A. Are finite or countably infinite

**Discrete RV:** finite or countably infinite values (typically non-negative integers — number of heads, defective items, etc.). Continuous RV has uncountably infinite values forming an interval.

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The **cumulative distribution function (c.d.f.)** $F(x)$ of a discrete random variable is:

  1. $F(x) = P[X = x]$
  2. $F(x) = 1 - p$
  3. $F(x) = P[X \leq x] = \sum_{x_i \leq x} p_i$
  4. $F(x) = P[X > x]$
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Correct answer: C. $F(x) = P[X \leq x] = \sum_{x_i \leq x} p_i$

c.d.f. accumulates: $F(x) = P[X \leq x] = \sum_{x_i \leq x} p_i$. It is non-decreasing, starts at 0 (for $x < \min$), reaches 1 (at $x \geq \max$). For discrete RV it's a step function.

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Two dice rolled. P(sum = 7) =

  1. 1/36
  2. 1/6
  3. 6/36
  4. Many
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Correct answer: B. 1/6

**Favorable outcomes:** (1,6),(2,5),(3,4),(4,3),(5,2),(6,1) → 6 outcomes. **Total:** 36. P = 6/36 = 1/6. Sum of 7 is the most likely sum on 2 dice.

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