1 There are 540 identical plastic chips numbered 1 through 540 in a box. What is the probability of reaching into the box and randomly drawing the chip numbered 505? Express your answer as a fraction or a decimal number rounded to four decimal places.

library(MASS)

print(paste0("The probability of reaching into the box and randomly drawing the chip numbered 505 is ", fractions(1/540), "."))
## [1] "The probability of reaching into the box and randomly drawing the chip numbered 505 is 1/540."

  1. Write out the sample space for the given experiment. Separate your answers using commas. When deciding what you want to put into a salad for dinner at a restaurant, you will choose one of the following extra toppings: asparagus, cheese. Also, you will add one of following meats: eggs, turkey. Lastly, you will decide on one of the following dressings: French, vinaigrette. (Note: Use the following letters to indicate each choice: A for asparagus, C for cheese, E for eggs, T for turkey, F for French, and V for vinaigrette.)
extraToppings <- c('A', 'C')
meats <- c('E', 'T')
dressings <- c('F', 'V')

for (t in extraToppings){
  for (m in meats){
    for (d in dressings){
      print(paste(t,m,d, sep=','))
    }
  }
}
## [1] "A,E,F"
## [1] "A,E,V"
## [1] "A,T,F"
## [1] "A,T,V"
## [1] "C,E,F"
## [1] "C,E,V"
## [1] "C,T,F"
## [1] "C,T,V"

  1. A card is drawn from a standard deck of 52 playing cards. What is the probability that the card will be a heart and not a face card? Write your answer as a fraction or a decimal number rounded to four decimal places.
# 52 playing cards
# 13 of them are hearts
# 10 of hearts are not a face card

print(paste0("The probability that the card will be a heart and not a face card is ", fractions(10/52), "."))
## [1] "The probability that the card will be a heart and not a face card is 5/26."

  1. A standard pair of six-sided dice is rolled. What is the probability of rolling a sum less than 6? Write your answer as a fraction or a decimal number rounded to four decimal places.
die1 <- 1:6
die2 <- 1:6
moreThan6 <- 0
lessThan6 <- 0

for (d1 in die1){
  for (d2 in die2){
    if(d1 + d2 < 6){
      lessThan6 <- lessThan6 + 1
    }
    moreThan6 <- moreThan6 + 1
  }
}

print(paste0("The probability of rolling a sum less than 6 is ", fractions(lessThan6/moreThan6), "."))
## [1] "The probability of rolling a sum less than 6 is 5/18."

  1. A pizza delivery company classifies its customers by gender and location of residence. The research department has gathered data from a random sample of 2001 customers. The data is summarized in the table below.
Gender and Residence of Customers Males Females
Apartment 233 208
Dorm 159 138
With Parents(s) 102 280
Sorority/Fraternity House 220 265
Other 250 146

What is the probability that a customer is male? Write your answer as a fraction or a decimal number rounded to four decimal places.

males <- c(233, 159, 102, 220, 250)
females <- c(208, 138, 280, 265, 146)
total <- sum(males + females)

print(paste0("The probability that a customer is male is ", fractions(sum(males)/total), "."))
## [1] "The probability that a customer is male is 964/2001."

  1. Three cards are drawn with replacement from a standard deck. What is the probability that the first card will be a club, the second card will be a black card, and the third card will be a face card? Write your answer as a fraction or a decimal number rounded to four decimal places.
print(paste0("The probability of a club card is ", fractions(13/52), "."))
## [1] "The probability of a club card is 1/4."
print(paste0("The probability of a black card is ", fractions(26/52), "."))
## [1] "The probability of a black card is 1/2."
print(paste0("The probability of a face card is ", fractions(12/52), "."))
## [1] "The probability of a face card is 3/13."

  1. Two cards are drawn without replacement from a standard deck of 52 playing cards. What is the probability of choosing a spade for the second card drawn, if the first card, drawn without replacement, was a heart? Write your answer as a fraction or a decimal number rounded to four decimal places.
heart <- 13/52
club <- 13/51

print(paste0("The probability of choosing a spade for the second card drawn, if the first card, drawn without replacement, was a heart is ", fractions((heart*club)/heart), "%."))
## [1] "The probability of choosing a spade for the second card drawn, if the first card, drawn without replacement, was a heart is 13/51%."

  1. Two cards are drawn without replacement from a standard deck of 52 playing cards. What is the probability of choosing a heart and then, without replacement, a red card? Write your answer as a fraction or a decimal number rounded to four decimal places.
heart <- 13/52
red <- 25/51

print(paste0("The probability of choosing a heart and then, without replacement, a red card is ", fractions(heart*red), "."))
## [1] "The probability of choosing a heart and then, without replacement, a red card is 25/204."

  1. There are 85 students in a basic math class. The instructor must choose two students at random.
Students in a Basic Math Class Males Females
Freshmen 12 12
Sophomores 19 15
Juniors 12 4
Seniors 7 4

What is the probability that a junior female and then a freshmen male are chosen at random? Write your answer as a fraction or a decimal number rounded to four decimal places.

jFemale <- 4/85
fMale <- 12/85

print(paste0("The probability that a junior female and then a freshmen male are chosen at random is ", fractions(jFemale*fMale), "."))
## [1] "The probability that a junior female and then a freshmen male are chosen at random is 48/7225."

  1. Out of 300 applicants for a job, 141 are male and 52 are male and have a graduate degree.
male <- 141/300
gdMale <- 52/300
gd <- 102/300

print(paste0("The probability that a randomly chosen applicant has a graduate degree, given that they are male is ", fractions(gdMale/male), "."))
## [1] "The probability that a randomly chosen applicant has a graduate degree, given that they are male is 52/141."
print(paste0("The probability that a randomly chosen applicant is male, given that the applicant has a graduate degree is ", fractions(gdMale/gd), "."))
## [1] "The probability that a randomly chosen applicant is male, given that the applicant has a graduate degree is 26/51."

  1. A value meal package at Ron’s Subs consists of a drink, a sandwich, and a bag of chips. There are 6 types of drinks to choose from, 5 types of sandwiches, and 3 types of chips. How many different value meal packages are possible?
drink <- 6
sandwich <- 5
chips <- 3

print(paste(drink*sandwich*chips, "different value meal packages are possible."))
## [1] "90 different value meal packages are possible."

  1. A doctor visits her patients during morning rounds. In how many ways can the doctor visit 5 patients during the morning rounds?
print(paste("In", factorial(5), "many ways the doctor can visit 5 patients during the morning rounds."))
## [1] "In 120 many ways the doctor can visit 5 patients during the morning rounds."

  1. A coordinator will select 5 songs from a list of 8 songs to compose an event’s musical entertainment lineup. How many different lineups are possible?
Permutations  <- function(n,r){
  factorial(n)/factorial(n-r)
}

print(paste(Permutations(8,5), "different lineups are possible."))
## [1] "6720 different lineups are possible."

  1. A person rolls a standard six-sided die 9 times. In how many ways can he get 3 fours, 5 sixes and 1 two?
fours <- 3
sixes <- 5
two <- 1
rolls <- 9

print(paste(factorial(rolls)/((factorial(fours)*factorial(sixes)*factorial(two))), "ways."))
## [1] "504 ways."

  1. How many ways can Rudy choose 6 pizza toppings from a menu of 14 toppings if each topping can only be chosen once?
Combinations <- function(n,r){
  factorial(n)/(factorial(n-r)*factorial(r))
}

paste(paste("Rudy can choose 6 pizza toppings from a menu of 14 toppings in", Combinations(14,6), "ways."))
## [1] "Rudy can choose 6 pizza toppings from a menu of 14 toppings in 3003 ways."

  1. 3 cards are drawn from a standard deck of 52 playing cards. How many different 3-card hands are possible if the drawing is done without replacement?
print(paste(fractions(Combinations(52,3)), "different 3-card hands are possible if the drawing is done without replacement."))
## [1] "22100 different 3-card hands are possible if the drawing is done without replacement."

  1. You are ordering a new home theater system that consists of a TV, surround sound system, and DVD player. You can choose from 12 different TVs, 9 types of surround sound systems, and 5 types of DVD players. How many different home theater systems can you build?
tv <- 12
sound <- 9
dvd <- 5

print(paste(tv*sound*dvd, "different home theatre systems can be build."))
## [1] "540 different home theatre systems can be build."

  1. You need to have a password with 5 letters followed by 3 odd digits between 0 - 9 inclusively. If the characters and digits cannot be used more than once, how many choices do you have for your password?
print(paste(Permutations(26,5)*Permutations(5,3), "many ways to create the password."))
## [1] "473616000 many ways to create the password."

  1. Evaluate the following expression. \(_9P_4\)
Permutations(9,4)
## [1] 3024

  1. Evaluate the following expression. \(_{11}C_8\)
Combinations(11,8)
## [1] 165

  1. Evaluate the following expression. \(\frac{_{12}P_8}{_{12}C_4}\)
Permutations(12,8)/Combinations(12,4)
## [1] 40320

  1. The newly elected president needs to decide the remaining 7 spots available in the cabinet he/she is appointing. If there are 13 eligible candidates for these positions (where rank matters), how many different ways can the members of the cabinet be appointed?
print(paste(Permutations(13,7), "ways the members of the cabiner can be appointed."))
## [1] "8648640 ways the members of the cabiner can be appointed."

  1. In how many ways can the letters in the word ‘Population’ be arranged?
p <- 2
o <- 2
total <-10

print(paste(factorial(10)/(factorial(2)*factorial(2)), "ways the letters in the word 'Population' can be arranged." ))
## [1] "907200 ways the letters in the word 'Population' can be arranged."

  1. Consider the following data:
\(x\) \(p(x)\)
5 0.1
6 0.2
7 0.3
8 0.2
9 0.2
x <- c(5,6,7,8,9)
px <- c(0.1,0.2,0.3,0.2,0.2)
xpx <- data.frame(x, px)
ev <- sum(xpx$x * xpx$px)
var <- sum((xpx$x - ev)^2 * xpx$px)
sd <- sqrt(var)
ninePlus <- sum((x>=9) * px)
sevenMinus <- sum((x<9) * px)

print(paste0("The expected value is ", round(ev, 1), "."))
## [1] "The expected value is 7.2."
print(paste0("The variance is ", round(var, 1)))
## [1] "The variance is 1.6"
print(paste0("The standard deviation is ", round(sd, 1), "."))
## [1] "The standard deviation is 1.2."
print(paste0("The value of P(X=>9) is ", round(ninePlus, 1), "."))
## [1] "The value of P(X=>9) is 0.2."
print(paste0("The value of P(X<7) is ", round(sevenMinus, 1), "."))
## [1] "The value of P(X<7) is 0.8."

  1. Suppose a basketball player has made 188 out of 376 free throws. If the player makes the next 3 free throws, I will pay you $23. Otherwise you pay me $4.
throwIn <- 188
total <- 376
shot1 <- throwIn/total
shot2 <- shot1^2
shot3 <- shot1^3
throwOut <- 1 - shot3
gain <- shot3 * 23
loss <- throwOut * -4

print(paste0("The expected value of the proposition is ", round(gain+loss, 2), "."))
## [1] "The expected value of the proposition is -0.62."
print(paste0("I would lose $", round(gain + loss,2) * 994, ", if this game was played 994 times."))
## [1] "I would lose $-616.28, if this game was played 994 times."

  1. Flip a coin 11 times. If you get 8 tails or less, I will pay you $1. Otherwise you pay me $7.
gain <- pbinom(8, size=11, prob=.5)

print(paste0("The expected value of the proposition is ", round(gain*1 + (1-gain)*-7, 2), "."))
## [1] "The expected value of the proposition is 0.74."
print(paste0("If I played this game 615 times, I would win $", round((gain*1 + (1-gain)*-7)*615, 2)))
## [1] "If I played this game 615 times, I would win $454.04"

  1. If you draw two clubs on two consecutive draws from a standard deck of cards you win $583. Otherwise you pay me $35. (Cards drawn without replacement.)
club1 <- 13/52
club2 <- 12/51
bothClub <- club1 * club2
noClub <- 1 - bothClub
ev <- bothClub*583 + noClub*-35

print(paste0("The expected value of the proposition is ", round(ev, 2), "."))
## [1] "The expected value of the proposition is 1.35."
print(paste0("If I played this game 632 times, I would win $", round(ev*632, 2), "."))
## [1] "If I played this game 632 times, I would win $855.06."

  1. A quality control inspector has drawn a sample of 10 light bulbs from a recent production lot. If the number of defective bulbs is 2 or less, the lot passes inspection. Suppose 30% of the bulbs in the lot are defective. What is the probability that the lot will pass inspection? (Round your answer to 3 decimal places)
pass <- pbinom(2, size = 10, prob = .3)

print(paste0("The probability that the lot will pass inspection is ", round(pass, 3), "%." ))
## [1] "The probability that the lot will pass inspection is 0.383%."

  1. A quality control inspector has drawn a sample of 5 light bulbs from a recent production lot. Suppose that 30% of the bulbs in the lot are defective. What is the expected value of the number of defective bulbs in the sample? Do not round your answer.
print(paste0("The expected value of the number of defective bulbs in the sample is ", 5*.3, "."))
## [1] "The expected value of the number of defective bulbs in the sample is 1.5."

  1. The auto parts department of an automotive dealership sends out a mean of 5.5 special orders daily. What is the probability that, for any day, the number of special orders sent out will be more than 5? (Round your answer to 4 decimal places)
print(paste0("The probability that, for any day, the number of special orders sent out will be more than 5 is ", round(ppois(5, 5.5, lower.tail = FALSE),4), "%."))
## [1] "The probability that, for any day, the number of special orders sent out will be more than 5 is 0.4711%."

  1. At the Fidelity Credit Union, a mean of 5.7 customers arrive hourly at the drive-through window. What is the probability that, in any hour, more than 4 customers will arrive? (Round your answer to 4 decimal places)
print(paste0("The probability that, in any hour, more than 4 customers will arrive is ", round(ppois(4, 5.7, lower.tail = FALSE), 4), "%."))
## [1] "The probability that, in any hour, more than 4 customers will arrive is 0.6728%."

  1. The computer that controls a bank’s automatic teller machine crashes a mean of 0.4 times per day. What is the probability that, in any 7-day week, the computer will crash no more than 1 time? (Round your answer to 4 decimal places)
print(paste0("The probability that, in any 7-day week, the computer will crash no more than 1 time is ", round(ppois(1, 0.4*7, lower.tail = TRUE), 4), "%."))
## [1] "The probability that, in any 7-day week, the computer will crash no more than 1 time is 0.2311%."

  1. A town recently dismissed 8 employees in order to meet their new budget reductions. The town had 6 employees over 50 years of age and 19 under 50. If the dismissed employees were selected at random, what is the probability that more than 1 employee was over 50? Write your answer as a fraction or a decimal number rounded to three decimal places.
dismissed <- 8
hired <- 6
age1 <- 19
age2 <- 50
hyperDist <- phyper(1, m = hired, n = age1, dismissed, lower.tail = FALSE)
  
print(paste0("The probability that more than 1 employee was over 50 is ", round((hyperDist), 4), "%."))
## [1] "The probability that more than 1 employee was over 50 is 0.6506%."

  1. Unknown to a medical researcher, 10 out of 25 patients have a heart problem that will result in death if they receive the test drug. Eight patients are randomly selected to receive the drug and the rest receive a placebo. What is the probability that less than 7 patients will die? Write your answer as a fraction or a decimal number rounded to three decimal places.
heartProb <- 10
drugTest <- 8
test <- 15
patients <- 25
hyperDist <- phyper(6, m = heartProb, n = test, drugTest)

print(paste0("The probability that less than 7 patients will die is ", round((hyperDist), 3), "%."))
## [1] "The probability that less than 7 patients will die is 0.998%."