## Understanding the Application of Probability in Birth and Death Rates**Question 15:**Who found a use for probability outside of gambling by studying birth and death rates?a. Florence Nightingale b. John Graunt c. James Sylvester **Task:**Complete the activity by answering the questions. Upload your paper on the math on the workplace activity. ---*Explanation:*This question is part of an educational assignment focusing on the historical application of probability theory. The individuals listed are significant figures in the history of statistics and mathematics:- **Florence Nightingale:** Known for her contributions to nursing and the use of statistical analysis to improve healthcare.- **John Graunt:** Recognized for his work in demography, particularly in studying the statistics of death and birth rates.- **James Sylvester:** A mathematician known for his work in algebra and matrix theory.Students are encouraged to research these historical figures to determine who applied probability to the study of birth and death rates, enhancing their understanding of the practical applications of mathematics.To complete this activity, students should:1. Research the contributions of Florence Nightingale, John Graunt, and James Sylvester.2. Answer the question correctly based on their findings.3. Upload their completed paper discussing how mathematics is utilized in workplace scenarios, particularly emphasizing the given context of probability.This exercise aims to enrich students' knowledge of the real-world applications of mathematical concepts, fostering a deeper appreciation for the subject matter.

Probability has its origin in the study of gambling and insurance in the 17th century. It was…

Answered: 15. Found a use for probability outside…

15. Found a use for probability outside gambling by studying birth & death rates. a. Florence Nightengale b. John Graunt c. James Sylvester

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

THIS IS ABOUT COUNTING AND SAMPLING TOPIC IN STATISTICS FOR ENGINEERING AND SCIENCES SUBJECT: PLEASE SHOW SHORT SOLUTION WITHOUT EXPLANATION IN WORDS PLEASE....3. Five cards are dealt from a shuffled deck. What is the probability that the dealthand contains?a. exactly one ace.b. at least one ace?
Find the probability of the following. 1. At a private Teacher's convention held in Baguio recently there are seven Math teachers, five Science Teachers, 3 English Teachers, and 4 TLE Teachers. If a teacher is selected, find the probability of getting a math or science teacher. 2. An automobile dealer decides to select a month for its annual sale. Find the probability that it will be june or July.
13) Approximately 59.4% of adults have added bleach to their laundry. Assume six adults are randomly selected. Find the probability that at most one adult have added bleach to their laundry. Round the answer to four decimals digits.
23. Precipitation In Akron, Ohio, the mean number of days in April with 0.01 inch or more of precipitation is 14. Find the probability that the number of days in April with 0.01 inch or more of precipitation in Akron is (a) exactly 17 days, (b) at most 17 days, and (c) more than 17 days.
Classify each statement as an ability, empirical probability, or subjective probability. example of classical prob- Tho probobility tbot a nerson will vatch the 6 o'clock
es The Internal Revenue Service is studying the category of charitable contributions. A sample of 25 returns is selected from young couples between the ages of 20 and 35 who had an adjusted gross income of more than $100,000. Of these 25 returns, five had charitable contributions of more than $1,000. Four of these returns are selected for a comprehensive audit. a. The hypergeometric distribution is appropriate because it is Osampling a small population without replacement. O sampling a small population with replacement. O sampling a large population without replacement. b. What is the probability exactly one of the four audited had a charitable deduction of more than $1,000? (Round your answer to 4 decimal places.) Probability
9. A pair of dice is thrown. If the two numbers appearing are different, find the probability that an ace appears. a. 1/3 b. 11/30 c. 10/36 d. 11/36
1. The probability that a manufactured bulb works properly is 98%. a. In a pack of six, what's the probability that all bulbs work? b. In a pack of six, what's the probability that 4 or less work? c. In a pack of 8, what's the probability that more than 5 work? d. In a pack of 10, what's the probability that exactly half work? In a pack of 4, what's the probability that all are broken?
19. If two dice are rolled one time, find the probability of getting these results. a. P(sum of 6) = b. P(Doubles) = C. P(sum greater than 9)= d. P(sum $4 e. a sum of 6 = f. a sum of 8
1. The odds against an event is 9 to 1. What is the probability of this event? Write the probability as a decimal. 2. A single card is drawn from a standard deck of cards. A face card is a jack, queen, or king. Find the following probability: P(Jack | face card) Write your answer as a decimal rounded to 4 decimal places. 3. Two cards are drawn from a standard deck of cards, and one of the cards is noted and removed. Find the probability of drawing a King given that the first card removed was a King. P(king | king) Write your answer as a decimal rounded to 4 decimal places.
6. Create a probability distribution for a coin flipping game. That is, tossa coin at least 25 times and keep up with the number of heads and the number of tails. a. Compile your data into a probability distribution. Be sure to show that your distribution meets the properties for a probability distribution. b. Use a bar graph to graph the distribution. c. Explain the random variables for your data. d. Did the values come out as you would expect? Explain what you would expect to happen with the outcome of the game versus the actual expected value of your distribution. 7. Use your example from question 6 to set up a binomial distribution. Find the probability based on your data that if the coin is flipped 25 times, what is the probability that a heads would appear 10 times or less. 8. The following information has been given that shows the highest level of education received by employees of a company. Ph.D. Master's Bachelor's Associate # Employees 8 21 33 18 High School Diploma 7 Other…