Consider the following table.Amount ofLifeInsuranceon Wife(thousandsof $)0-5050 - 100100 - 150Morethan 150Amount of Life Insurance on Husband(thousands of $)0-50 50-1004005020202005010246100-150503025394Morethan150501782415Copy DataGiven the wife has between $50,000 and $100,000 of insurance, what is the probability that the husband has more than $150,000 of insurance? Round your finalanswer to four decimal places. Do not round intermediate answers.

The two way table provided in the question is as follows :- Amount of life insurance on…

Answered: Consider the following table. Amount of…

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...

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In a class of students, the following data table summarizes the gender of the students and whether they have an A in the class. What is the probability that a student chosen randomly from the class is a female who has an A? Has an A Does not have an A Female Male 5 2 4 12
The following table represents the highest educational attainment of all adult residents in a certain town. If an adult is chosen randomly from the town, what is the probability that they have a high school degree or some college, but have no college degree? Round your answer to the nearest thousandth. High school only Some college Bachelor's degree Master's degree Total Age 20-29 Age 30-39 Age 40-49 Age 50 & over 1346 278 1866 2069 1640 1143 6198 1060 1471 1676 433 4640 1531 640 456 2905 2504 1966 887 7223 Total 4550 7575 5922 2919 20966
Question content area top left Part 1 Use the accompanying bar graph, which shows the highest level of education received by employees of a company, to find the probability that the highest level of education for an employee chosen at random is a doctoratea doctorate. ... Question content area top right Part 1 A bar graph titled Level of Education has a horizontal axis labeled Doctoral, Master's, Bachelor's, Associate's, High School diploma, and Other and a vertical axis labeled Number of employees from 0 to 40 in increments of 5. There are vertical bars, each of which is over a horizontal axis label. The heights of the bars are as follows, where the horizontal axis label is listed first and the height is listed second: Doctoral, 2; Master's, 25; Bachelor's, 32; Associate's, 24; High School diploma, 4; Other, 1. Each bar is labeled with its height. Level of education ABCDEF010203040Number of employeesA:DoctoralB:Master'sC:Bachelor'sD:Associate'sE:High School…
section 5.3
1. Use this table for the following questions: Female Male TotalShort Hair 20 40 60 Long Hair 30 10 40 Total 50 50 100 a. Complete a total probability table.b. Complete a row probability tablec. Complete a column probability table.d. The probability that a student does not have long hair. _________e. The probability that a student is male or has short hair. ________f. The probability that a student is a female and has long hair. _________g. The probability that a student is male, given that the student has long hair. _________h. The probability that a student has long hair, given that the student is male. _________i. Of all the female students, the probability that a student has short hair. ________j. Of all students with long hair, the probability that a student is female. _________k. The probability that a student is female or has long hair.…
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The table below shows the number of deaths in the U.S. in a year due to a variety of causes. For these questions,assume these values are not changing from year to year, and that the population of the United States is 312 millionpeople. Cause of Death in US Cause Number of deaths Passenger car occupant 13,100 Motorcycle driver 4,500 Tornado 553 Skydiving 56 What is the probability that you died as a passenger car occupant last year?
A recent study gave the information shown in the table about ages of children receiving toys. The percentages represent all toys sold. Age (years) Percentage of Toys 2 and under3-56-910-1213 and over 17%18%26%10%29% What is the probability that a toy is purchased for someone in the following age ranges? (a) 6 years old or older %(b) 12 years old or younger %(c) between 6 and 12 years old %(d) between 3 and 9 years old %A child between 10 and 12 years old looks at this probability distribution and asks, "Why are people more likely to buy toys for kids older than I am (13 and over) than for kids in my age group (10–12)?" How would you respond? The 13-and-older category may include children up to 17 or 18 years old. This is a larger category.The 13-and-older category may include children up to 17 or 18 years old. This is a smaller category.
The table below summarizes a survey involving the relationship between living arrangements and grade point average for a group of students. If a student is selected randomly from this group, what is the probability that the student lives off campus? On Campus At home Apartment Totals Below 2.5 97 38 44 179 2.5 to 3.5 66 26 22 114 Over 3.5 18 5 8 31 Totals 181 69 74 324
Data from a survey can allow one to estimate how many people who classified their work status as part-time or full-time actually worked in the last week. Find the probability that the hours worked were 29 or less given that the worker was part-time. Labor Force Status Full-Time Worker Part-Time Worker Total 0-19 20-29 30-39 40-49 25 Hours Worked in the Last Week 50 or More 74 99 45 134 693 378 1275 Total 81 83 42 23 303 126 217 735 401 1578 The probability that the hours worked were 29 or less and that the worker was part-time is (Round to four decimal places as needed.) The probability that the hours worked were 29 or less given that the worker was part-time is (Round to four decimal places as needed.)

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