Question
upstudy study bank question image url

\( 61 \% \) of all Americans live in cities with population greater than 100,000 people. It randomly selected, find the probability that a. Exactly 20 of them live in cities with population greater than 100,000 people. b. At most 20 of them live in cities with population greater than 100,000 people. c. At least 19 of them live in cities with population greater than 100,000 people. d. Between 16 and 20 (including 16 and 20) of them live in cities with population greater than 100,000 people.

Ask by Gibson Reid. in the United States
Feb 26,2025

Upstudy AI Solution

Tutor-Verified Answer

Answer

(a) The probability that exactly 20 out of 30 Americans live in cities with over 100,000 people is calculated using the binomial probability formula:   P(X = 20) = C(30,20) × (0.61)^20 × (0.39)^10. (b) The probability that at most 20 out of 30 Americans live in cities with over 100,000 people is:   P(X ≤ 20) = Σ (from k = 0 to 20) [C(30,k) × (0.61)^k × (0.39)^(30 – k)]. (c) The probability that at least 19 out of 30 Americans live in cities with over 100,000 people is:   P(X ≥ 19) = Σ (from k = 19 to 30) [C(30,k) × (0.61)^k × (0.39)^(30 – k)]. (d) The probability that between 16 and 20 (including 16 and 20) out of 30 Americans live in cities with over 100,000 people is:   P(16 ≤ X ≤ 20) = Σ (from k = 16 to 20) [C(30,k) × (0.61)^k × (0.39)^(30 – k)].

Solution

We are told that 61% of Americans live in cities with a population greater than 100,000. Suppose that a random sample of 30 Americans is selected. (The sample size is not stated explicitly in the problem text, but the numbers used in parts (a)–(d) strongly suggest that n = 30.) Let   X = the number of people in the sample who live in a city of over 100,000 people. Since each person is independent and the probability that an individual lives in such a city is p = 0.61, we have   X ~ Binomial(n = 30, p = 0.61). Using the binomial probability formula   P(X = k) = (n choose k) · (p)^k · (1 – p)^(n – k), we can answer the questions as follows: ────────────────────────────── (a) Exactly 20 of them live in cities with population greater than 100,000. This is just the probability that X = 20:   P(X = 20) = C(30,20) · (0.61)^20 · (0.39)^(10). ────────────────────────────── (b) At most 20 of them live in cities with population greater than 100,000. “At most 20” means X ≤ 20, so we add up the probabilities for k = 0, 1, 2, …, 20:   P(X ≤ 20) = Σ (from k = 0 to 20) [C(30,k) · (0.61)^k · (0.39)^(30 – k)]. ────────────────────────────── (c) At least 19 of them live in cities with population greater than 100,000. “At least 19” means X ≥ 19, so we add up the probabilities for k = 19, 20, …, 30:   P(X ≥ 19) = Σ (from k = 19 to 30) [C(30,k) · (0.61)^k · (0.39)^(30 – k)]. ────────────────────────────── (d) Between 16 and 20 (including 16 and 20) of them live in cities with population greater than 100,000. This is the sum for k = 16, 17, 18, 19, 20:   P(16 ≤ X ≤ 20) = Σ (from k = 16 to 20) [C(30,k) · (0.61)^k · (0.39)^(30 – k)]. ────────────────────────────── Any answer that correctly expresses these probabilities (or their numerical approximations) is acceptable. For example, one acceptable answer is:   (a) P(X = 20) = (30 choose 20)·(0.61)^20·(0.39)^10   (b) P(X ≤ 20) = Σₖ₌₀²⁰ (30 choose k)·(0.61)^k·(0.39)^(30–k)   (c) P(X ≥ 19) = Σₖ₌₁⁹⁰ (30 choose k)·(0.61)^k·(0.39)^(30–k)   (d) P(16 ≤ X ≤ 20) = Σₖ₌₁₆²⁰ (30 choose k)·(0.61)^k·(0.39)^(30–k). (Any algebraically equivalent answer is correct.)

Answered by UpStudy AI and reviewed by a Professional Tutor

error msg
Explain
Simplify this solution

Mind Expander

To solve these problems, we can model the number of people living in cities with populations greater than 100,000 using the binomial distribution, where \( n \) is the total number of people surveyed, \( p = 0.61 \) is the probability of living in a large city, and \( k \) is the number of people we're interested in. Assuming \( n = 30 \) for this example, we can calculate: a. The probability of exactly 20 people living in such cities can be calculated using the binomial probability formula: \[ P(X = k) = \binom{n}{k} p^k (1-p)^{n-k} \] Substituting \( n = 30 \) and \( k = 20 \) gives: \[ P(X = 20) = \binom{30}{20} (0.61)^{20} (0.39)^{10} \] b. The probability of at most 20 can be found by summing the probabilities from 0 to 20 using: \[ P(X \leq 20) = \sum_{k=0}^{20} P(X = k) \] c. The probability of at least 19 can be calculated similarly: \[ P(X \geq 19) = \sum_{k=19}^{30} P(X = k) \] d. Finally, for the probability between 16 and 20, we sum the probabilities from 16 to 20: \[ P(16 \leq X \leq 20) = \sum_{k=16}^{20} P(X = k) \] Calculating these probabilities would typically require either a binomial table or computational software. By plugging in the numbers or using software, you can find the actual probability values for each scenario! Happy calculating!

Related Questions

Latest Probability Questions

Try Premium now!
Try Premium and ask Thoth AI unlimited math questions now!
Maybe later Go Premium
Study can be a real struggle
Why not UpStudy it?
Select your plan below
Premium

You can enjoy

Start now
  • Step-by-step explanations
  • 24/7 expert live tutors
  • Unlimited number of questions
  • No interruptions
  • Full access to Answer and Solution
  • Full Access to PDF Chat, UpStudy Chat, Browsing Chat
Basic

Totally free but limited

  • Limited Solution
Welcome to UpStudy!
Please sign in to continue the Thoth AI Chat journey
Continue with Email
Or continue with
By clicking “Sign in”, you agree to our Terms of Use & Privacy Policy