The following joint frequency distribution table shows responses from a sample of 210 unionized employees on how their union president handled a recent labour action. Employees were categorized by age group and by their level of approval. Age Group under 25 25 to 40 over 40 Total Approve 12 26 38 76 Disapprove 31 20 21 72 Indifferent 30 8 24 62 a) approved? b) did not disapprove? Total 73 54 Report answers accurate to at least 4 decimal places. 1. What is the probability that a randomly selected employee: 83 210 a) did not disapprove? b) was in the 25 to 40 age group and approved? c) was not in the 25 to 40 age group and approved? d) was in the under 25 age group or disapproved? e) was not in the under 25 age group or disapproved? f) was not under 25 and did not disapprove? a) approved? b) did not disapprove? 2. Given that an employee was in the 25 to 40 age group, what is the probability that the employee 3. What is the probability of selecting an employee that was in the under 25 age group from a group of employees that

The National Longitudinal Study of Adolescent Health interviewed several thousand teens (grades 7 to 12). One question asked was “What do you think are the chances you will be married in the next 10 years?” Here is a two-way table of the responses by gender:   Opinion Female Male Almost no chance 138 114 Some chance but probably not 134 165 A 50-50 chance 467 512 A good chance 736 718 Almost certain 1187 746   How many individuals are described in this table? How many females were among the respondents? The percent of females among the respondents was about %. Your percent from the previous exercise is part of the marginal distribution of sex. the conditional distribution of sex among adolescents with a given opinion. the marginal distribution of opinion about marriage. What percent of females thought that they were almost certain to be married in the next 10 years?% Your percent from the previous exercise is part of the conditional distribution of sex among…

The following table shows age distribution and location of a random sample of 166 buffalo in Yellowstone National Park. Suppose a Yellowstone buffalo is selected at random. Use the table to answer the following question.                                                            Age  Lamar Nez Perce Firehole Total Calf  13 13 15 41 Yearling 10 11 12 33 Adult 34 28 30 92 Total 57 52 57 Total:  166 Find the probability that it is a calf given that it is from the Lamar district.

The National Longitudinal Study of Adolescent Health interviewed several thousand teens (grades 7 to 12). One question asked was "What do you think are the chances you will be married in the next 10 years?" Here is a two-way table of the responses by gender: Opinion Female Male Almost no chance 139 86 Some chance but probably not 156 189 A 50-50 chance 441 517 A good chance 724 728 Almost certain 1176 769 a. How many individuals are described in this table? b. How many females were among the respondents? c. The percent of females among the respondents was about %.

Refer to the sample data for pre-employment drug screening shown below. If one of the subjects is randomly selected, what is the probability that the test result is a false positive? Who Kwould suffer from a false positive result? Why? Pre-Employment Drug Screening Results Positive test result Drug Use Is Indicated 45 2 Subject Uses Drugs Subject is Not a Drug User The probability of a false positive test result is (Round to three decimal places as needed.) Who would suffer from a false positive result? Why? Negative test result D Drug Use Is Not Indicated 13 36 KUID + OA. The person tested would suffer because he or she would not be suspected of using drugs when in reality he or she does use drugs. OB. The employer would suffer because the person tested would not be suspected of using drugs when in reality he or she does use drugs. OC. The employer would suffer because the person tested would be suspected of using drugs when in reality he or she does not use drugs. OD. The person…

The following table shows the percentage of on-time arrivals, the number of mishandled baggage reports per 1000 passengers, and the number of customer complaints per 1000 passengers for 10 airlines (Forbes website, February 2014). a. If you randomly choose a Delta Air Lines flight, what is the probability that this individual flight has an on-time arrival? b. lf you randomly choose one of the 10 airlines for a follow-up study on airline quality ratings, what is the probability that you will choose an airline with less than two mishandled baggage reports per 1000 passengers? c. If you randomly choose 1 of the 10 airlines for a follow-up study on airline quality ratings, what is the probability that you will choose an airline with more than one customer complaint per 1000 passengers? d. What is the probability that a randomly selected AirTran Airways flight will not arrive on time?

The table below summarizes the results from a 1988 study of accident records conducted by the Florida Department of Highway Safety. Assuming that this sample is representative, answer the following probability questions.   Nonfatal Injury Fatal Injury Total Seat Belt 412,368 510 412,878 No Seat Belt 162,527 1,601 164,128 Total 574,895 2,111 577,006 What is the probability that a randomly selected accident has both a nonfatal injury and the driver wore a seat belt? What is the probability that a randomly selected accident has a fatal injury or the driver did not wear a seat belt?

6. The figure below is a contingency table showing the counts of earned degrees from several colleges. The level of degree and gender of the degree recipient were tracked use this table to answer the following questions: Bachelor's Master's Professional Doctorate Total Female 542 128 26 18 714 Male 438 165 38 20 661 Total 980 293 64 38 1375 (a) What is the probability that a randomly chosen person received a Bachelor's Degree? (b) What is the probability that a randomly chosen person received a Master's Degree given that they are Female-- P(Masters Female)? O EXTD D 10:17

2. A set of Midterm examination grades in an introductory statistics course is normally distributed, as following: Name Grade Name Grade Hakim 60 Hadi 80 Joko 70 Ilham 60 Budi 60 Ana 80 Ani 80 Aji 70 Anisa 90 Siti 80 a. Calculate mean and standard deviation b. What is the probability that a student scored below 90 on this exam? C. What is the probability that a student scored between 70 and 80? d. The probability is 20% that a student taking the test scores higher than what grade?

Using the Two-Way Table provided below answer the following question:     Men Women Boys Girls TOTAL Survived   332 318 29 27 706 Died   1360 104 35 18 1517 TOTAL             Question 9   What is the probability of randomly selecting back to back people and they are a Male Who Survived and a Girl who died?