john.jones
john.jones 4h ago โ€ข 0 views

University Statistics Test Questions on Applying Binomial Distribution

Hey there! ๐Ÿ‘‹ Statistics tests can be tough, especially when binomial distribution pops up. I've got your back! This guide breaks down the important stuff and includes a quiz to test your knowledge. Let's ace this! ๐Ÿ’ฏ
๐Ÿงฎ Mathematics
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harvey.kevin40 Dec 30, 2025

๐Ÿ“š Quick Study Guide

  • ๐Ÿ”ข Definition: The binomial distribution models the probability of obtaining exactly $k$ successes in $n$ independent Bernoulli trials, where each trial has the same probability $p$ of success.
  • ๐Ÿงช Formula: The probability mass function (PMF) is given by: $P(X = k) = {n \choose k} * p^k * (1-p)^{(n-k)}$, where ${n \choose k} = \frac{n!}{k!(n-k)!}$ is the binomial coefficient.
  • ๐Ÿ“Š Assumptions:
    • ๐Ÿ“ˆ Fixed number of trials ($n$).
    • โœ… Each trial is independent.
    • ๐ŸŽฒ Two possible outcomes (success or failure).
    • ๐Ÿ€ Constant probability of success ($p$) for each trial.
  • ๐Ÿ“ˆ Mean: The expected value (mean) of a binomial distribution is $\mu = np$.
  • ๐Ÿ“Š Variance: The variance is $\sigma^2 = np(1-p)$.
  • ๐Ÿ’ก Standard Deviation: The standard deviation is $\sigma = \sqrt{np(1-p)}$.

Practice Quiz

  1. A fair coin is tossed 5 times. What is the probability of getting exactly 3 heads?

    1. 0.250
    2. 0.3125
    3. 0.500
    4. 0.625
  2. A multiple-choice test has 20 questions. Each question has 4 options, with only one correct answer. If a student randomly guesses the answer to each question, what is the probability that they will answer exactly 5 questions correctly?

    1. 0.2023
    2. 0.1561
    3. 0.0000
    4. 0.1029
  3. It is known that 30% of the products from a manufacturing process are defective. If 10 products are randomly selected, what is the probability that exactly 2 of them are defective?

    1. 0.2335
    2. 0.3000
    3. 0.0000
    4. 0.2668
  4. A basketball player makes 70% of their free throws. If they attempt 8 free throws in a game, what is the probability they make exactly 6?

    1. 0.2965
    2. 0.2541
    3. 0.5282
    4. 0.0808
  5. A certain medication is effective in 80% of patients. If 12 patients are given the medication, what is the probability that it will be effective for at least 10 patients?

    1. 0.2835
    2. 0.5580
    3. 0.8000
    4. 0.9313
  6. Suppose a die is tossed 9 times. What is the probability of getting a '3' exactly twice?

    1. 0.2791
    2. 0.2341
    3. 0.1000
    4. 0.3021
  7. If $X \sim B(15, 0.4)$, find $P(X = 6)$.

    1. 0.2066
    2. 0.0000
    3. 0.4000
    4. 0.6000
Click to see Answers
  1. B
  2. A
  3. A
  4. A
  5. D
  6. A
  7. A

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