Binomial Distribution Analysis

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Questions and Answers

What is the probability mass function for a binomial distribution with parameters n and p?

  • $P(X = x) = (n - x) p^x q^{n-x}$
  • $P(X = x) = (n choose x) p^{n-x} q^x$
  • $P(X = x) = p^x + q^{n-x}$
  • $P(X = x) = (n choose x) p^x q^{n-x}$ (correct)

In the binomial distribution X ~ B(n, p), what do the parameters n and p represent?

  • The number of trials and the probability of success (correct)
  • The variance and the mean of the distribution
  • The average success rate and the minimum success needed
  • The total number of successes and the total number of failures

Which statement about the binomial distribution is FALSE?

  • It is a discrete distribution.
  • The outcomes are mutually exclusive.
  • The formula derives from the binomial expansion.
  • It can take on negative values. (correct)

What is the expected frequency of successes in a binomial distribution when N trials are conducted?

<p>$N (n choose x) p^x q^{n-x}$ (B)</p> Signup and view all the answers

The sum of probabilities over all possible outcomes in a binomial distribution equals what value?

<p>1 (C)</p> Signup and view all the answers

When n trials are performed, which of the following expressions is NOT a term in the binomial expansion?

<p>$q^{n-1} p^{n}$ (B)</p> Signup and view all the answers

What type of random variable follows a binomial distribution?

<p>Only discrete integer values (A)</p> Signup and view all the answers

Which of these conditions is necessary for a binomial distribution to be applicable?

<p>Each trial has two exhaustive and mutually exclusive outcomes. (B)</p> Signup and view all the answers

What is the mode of a binomial distribution when the number of trials n is odd?

<p>The modes are at X = (n + 1) and X = (n - 1) (D)</p> Signup and view all the answers

What is the moment generating function of a binomially distributed random variable X ~ B(n, p)?

<p>M_x(t) = (q + p e^t)^n (C)</p> Signup and view all the answers

Which of the following is NOT a characteristic of the second moment (μ2) of a binomial distribution?

<p>μ2 = n^2p^2 (C)</p> Signup and view all the answers

In the moment generating function of a binomial distribution, what term represents the contribution of the mean?

<p>E[e^{tX}] (B)</p> Signup and view all the answers

How is the third moment (μ3) of a binomial distribution characterized?

<p>μ3 = npq(q - p) (B)</p> Signup and view all the answers

What represents the mean deviation about the mean of the binomial distribution?

<p>$n = ext{sum of deviations from mean}$ (B)</p> Signup and view all the answers

For what value of $r$ is the factorial moment of the binomial distribution defined?

<p>r &gt; 0 (A)</p> Signup and view all the answers

Which expression represents the first factorial moment $ ext{E}(X_{(1)})$ of the Binomial distribution?

<p>$np$ (D)</p> Signup and view all the answers

What is the relationship defined for $ ext{E}(X_{(3)})$ with respect to the previous moments?

<p>$ ext{E}(X_{(3)}) = n(n-1)(n-2)p^3 - 3n(n-1)p^2 + np$ (C)</p> Signup and view all the answers

What simplifies to $-2npq(1+p)$ in the context of moments for the Binomial distribution?

<p>$ ext{E}(X_{(3)})$ expression simplification$ (D)</p> Signup and view all the answers

In the equation $p rac{d}{dp} (q + p)^{n}$, what is being represented?

<p>The first derivative of the generating function (D)</p> Signup and view all the answers

What does $ rac{d}{dp}(q + p)^{n}$ equal to for any integer transformation of $x$?

<p>$ ext{Factorial moment for } r=k$ (D)</p> Signup and view all the answers

The expression $ rac{x!}{(x-r)!}$ indicates what in terms of factorial moments?

<p>The contribution of $r$th order to the moment (B)</p> Signup and view all the answers

What characteristics define Bernoulli trials?

<p>The probability of success remains constant for each trial. (B)</p> Signup and view all the answers

For the probability of getting at least seven heads when tossing ten coins, which components are included in the calculation?

<p>p(7), p(8), p(9), p(10) (B)</p> Signup and view all the answers

In a binomial experiment with five games played, if the probability of A winning each game is $ rac{3}{5}$, what is the probability of A winning exactly two games?

<p>0.0768 (C)</p> Signup and view all the answers

What is the significance of binomial distribution in probability theory?

<p>It helps derive many other probability distributions. (A)</p> Signup and view all the answers

If A and B have winning chances in the ratio of 3:2, what is B's probability of winning?

<p>$ rac{2}{5}$ (C)</p> Signup and view all the answers

In the case of throwing ten coins simultaneously, the probability of not getting a head is defined as what?

<p>$ rac{1}{2}$ (A)</p> Signup and view all the answers

What does the binomial probability formula output when n = 10 and p = $ rac{1}{2}$?

<p>It computes the likelihood of successes for discrete trials. (C)</p> Signup and view all the answers

If the probabilities of 1 and 2 successes in a binomial experiment of 5 trials are 0.4096 and 0.2048, respectively, what does this imply about the distribution?

<p>The parameter p can be calculated from given probabilities. (A)</p> Signup and view all the answers

What does the mode of a binomial distribution represent?

<p>The value of x for which p(x) is maximum (C)</p> Signup and view all the answers

In the case where (n + 1)p is an integer, what are the modal values of a binomial distribution?

<p>m and m - 1 (D)</p> Signup and view all the answers

If the mean of a binomial distribution is 4 and the variance is 3, what is the value of n?

<p>16 (C)</p> Signup and view all the answers

What inequality holds for p(x) when (n + 1)p is not an integer for values of x from 0 to m?

<p>p(x) &gt; p(x-1) (B)</p> Signup and view all the answers

When $(n + 1)p$ is represented as $m+f$, what does 'f' signify?

<p>A fractional part such that 0 &lt; f &lt; 1 (D)</p> Signup and view all the answers

For p = 0.5 and n odd, where does the maximum probability of the binomial distribution occur?

<p>At both (n+1) and (n-1) (B)</p> Signup and view all the answers

What relationship confirms the probabilistic behavior of p(x) based on the index x?

<p>p(x) follows a specific increasing and decreasing sequence (C)</p> Signup and view all the answers

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Study Notes

Mode of Binomial Distribution

  • The mode is the value of x where the probability p(x) is maximum
  • There are two cases:
    • Case 1: When (n+1)p is not an integer
      • The mode is the integral part of (n+1)p
    • Case 2: When (n+1)p is an integer
      • The distribution is bimodal
      • The two modes are (n+1)p and (n+1)p - 1

Example 8.15

  • The given binomial distribution has parameters n=16 and p=1/4

Example 8.16

  • When p = 0.5, if n is even the binomial distribution peaks at x=n/2
  • When p = 0.5, if n is odd the binomial distribution peaks at x=(n+1)/2 and x=(n-1)/2

Factorial Moments of Binomial Distribution

  • The rth factorial moment of the binomial distribution is:
    • n(r)p(r)

Mean Deviation about Mean of Binomial Distribution

  • Mean deviation is calculated by taking the sum of the absolute differences between each value and the mean, weighted by their probabilities.
  • The mean deviation is 2 * npq * (n-1) / (μ-1) * p^(μ-2) * q^(n-μ)

Binomial Probability Distribution

  • This occurs when there are n independent trials, each with a probability of success p.
  • The probability of x successes in n trials is given by:
    • p(x) = (n choose x) * p^x * q^(n-x)
  • The two parameters n and p determine the distribution.
  • This distribution is discrete as it only takes on integer values between 0 and n.

Remarks on Binomial Distribution

  • Probabilities of all possible outcomes of a binomial distribution add up to 1.
  • If the experiment is repeated N times, the frequencies of each outcome are given by:
    • f(x) = N * (n choose x) * p^x * q^(n-x)
  • The binomial distribution applies to situations with these properties:
    • There are only two possible outcomes for each trial (success or failure).
    • The number of trials is fixed and finite.
  • Trials are independent.
  • The probability of success is constant for each trial.
  • Examples include tossing coins or drawing cards with replacement.
  • Many other probability distributions are related to the binomial distribution.

Example 8.1

  • The probability of getting at least seven heads in ten coin tosses is 11/64.

Example 8.2

  • The probability of A winning at least three games out of five is 3/5.

Example 8.9

  • The parameter p of the binomial distribution is 0.8.

Moment Generating Function of Binomial Distribution

  • The moment generating function of the binomial distribution is:
    • M_x(t)= (q + pe^t)^n
  • The moment generating function about the Mean of the binomial distribution is:
    • (qe^(-pt) + pet)^n

Example 8.17

  • The distribution of X-np follows a shifted binomial distribution.

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