Statistical Analysis and Probability: A Comprehensive Guide, Exams of Nursing

Download Statistical Analysis and Probability: A Comprehensive Guide and more Exams Nursing in PDF only on Docsity! BANA 2082 FINAL EXAM Questions and Answers Latest Updates 2024 1.) An unusually small or unusually large data value is called Answer: an outlier 2.) A box plot is a graphical representation of data that is based on Answer: a five number summary 3.) Consider the attached data, what is the correlation between SAT Verbal and SAT Math? Answer: .968 4.) Functionality in interactive data dashboards that allows the user to access information and analyse at an increasingly detailed level is referred to as Answer: drilling down 5.) Chapter 4 focuses on Answer: probability 6.) The Statistics in Practice example in Chapter 4 is primarily concerned with Answer: part failures 7.) The company identified in Chapter 4, Statistics in Practice is Answer: 90 21.) From a group of six people, two individuals are to be selected at random. How many selections are possible? Answer: 15 22.) Ten individuals are candidates for positions of president and vice president of an organization. How many possibilities of selections exist? Answer: 90 23.) Assuming that each of the 52 cards in an ordinary deck has a probability of 1/52 of being drawn, what is the probability of drawing a black ace? Answer: 2/52 24.) A method of assigning probabilities based upon judgment is referred to as the Answer: subjective method 25.) When the assumption of equally likely outcomes is used to assign probability values, the method used to assign probabilities is referred to as the Answer: classical method 26.) When the results of experimentation or historical data are used to assign probability values, the method used to assign probabilities is referred to as the Answer: relative frequency method 27.) Of the last 100 customers entering a computer shop, 25 have purchased a computer. If the relative frequency method for computing probability is used, the probability that the next customer will purchase a computer is Answer: .25 28.) Of the last 100 customers entering a computer shop, 25 have purchased a computer. If the classical method for computing probability is used, the probability that the next customer will purchase a computer is Answer: .50 29.) Jeffrey Rich was Answer: CEO of Affiliated Computer Services 30.) The probability of winning a prize at the in-store McDonald's Monopoly game was Answer: .25 31.) The sum of the probabilities of two complementary events is Answer: 1.0 32.) The union of events A and B is the event containing all the sample points belonging to Answer: A or B or both 33.) If P(A) = 0.50, P(B) = 0.60, and P(A intersection B) = 0.30, then P(A union B) = Answer: 0.8 34.) If two events are independent, then Answer: the product of their probabilities gives their intersection 35.) Events that have no sample points in common are Answer: mutually exclusive events 36.) If two events, A and B, are mutually exclusive, the probability of A intersection B Answer: must always be equal to 0 37.) If A and B are mutually exclusive events with P(A) = 0.3 and P(B) = 0.5, then P(A union B) = Answer: 0.8 38.) Bayes' theorem is used to compute Answer: the posterior probabilities 39.) A lottery is conducted using three urns. Each urn contains chips numbered from 0 to 9. One chip is selected at random from each urn. The total number of sample points in the sample space is Answer: 1,000 40.) Refer to question 2. What is the probability that only one of the two answers is correct? 53.) The company identified in Chapter 5, Statistics in Practice is Answer: Citibank 54.) The Statistics in Practice example in Chapter 5 focuses on Answer: automatic teller machines 55.) Chapter 5 focuses on Answer: probability distributions 56.) A random variable that can assume only a finite number of values is referred to as a(n) Answer: discrete random variable 57.) A measure of the average value of a random variable is called a(n) Answer: expected value 58.) Which of the following is a characteristic of an experiment where the binomial probability distribution is applicable? Answer: Exactly two outcomes are possible on each trial 59.) Four percent of the customers of a mortgage company default on their payments. A sample of five customers is selected. What is the probability that exactly two customers in the sample will default on their payments? Answer: 0.0142 60.) The student body of a large university consists of 60% female students. A random sample of 8 students is selected. What is the probability that among the students in the sample at most two are female? Use an Excel function. Answer: 0.0498 61.) In the textile industry, a manufacturer is interested in the number of blemishes or flaws occurring in each 100 feet of material. The probability distribution that has the greatest chance of applying to this situation is the Answer: Poisson distribution 62.) An insurance company has determined that on average they receive nine claims per week at their Cincinnati office. Assume that the claims distribution can be described by a Poisson distribution. What is the probability that they will receive nine claims in a week? (Round your answer to three decimal places.) Answer: 0.132 63.) The weight of an object is an example of Answer: a continuous random variable 64.) The number of customers that enter a store during one day is an example of Answer: a discrete random variable 65.) An experiment consists of determining the speed of automobiles on a highway by the use of radar equipment. The random variable in this experiment is a Answer: continuous random variable 66.) The probability distribution for the number of goals the Lions soccer team makes per game is given below Number of Goals: 0 1 2 3 4 Probability: 0.05 0.15 0.35 0.30 0.15 What is the probability that in a given game the Lions will score at least 1 goal? Answer: 0.95 67.) Cont. The expected number of goals per game is Answer: 2.35 68.) A probability distribution showing the probability of x successes in n trials, where the probability of success does not change from trial to trial, is termed a Answer: binomial probability distribution 69.) The student body of a large university consists of 60% female students. A random sample of 8 students is selected. What is the expected number of females selected? Round your answer to one decimal place. The student body of a large university consists of 60% female students. A random sample of 8 students is selected. What is the probability that among the students in the sample at most four are male? Use an Excel function and round your answer to three decimal places. Answer: 0.826 76.) Q14 General Hospital has noted that they admit an average of 8 patients per hour. Assuming a Poisson distribution, what is the probability that during the next hour exactly 8 patients will be admitted? (Round your answer to three decimal places.) Answer: 0.140 77.) Q15 General Hospital has noted that they admit an average of 8 patients per hour. Assuming a Poisson distribution, what is the probability that during the next hour less then 3 patients will be admitted? (Round your answer to three decimal places.) Answer: 0.014 78.) Q16 General Hospital has noted that they admit an average of 8 patients per hour. Assuming a Poisson distribution, what is the probability that during the next two hours exactly 8 patients will be admitted? (Round your answer to three decimal places.) Answer: 0.012 79.) Suppose you first randomly sample one card from a deck of 52. Then, without putting the card back in the deck you sample a second and then (again without replacing cards) a third. Given this sampling procedure, what is the probability that exactly two of the three sampled cards will be aces (4 of the 52 cards in the deck are aces)? Round your answer to three decimal places. Answer: 0.013 80.) Chapter 6 focuses on Answer: probability distributions 81.) The Statistics in Practice example in Chapter 6 identifies an application concerned with Answer: raw material prices 82.) The company identified in Chapter 6, Statistics in Practice is Answer: Procter & Gamble 83.) The probability that a continuous random variable takes any specific value Answer: is equal to zero 84.) The function that defines the probability distribution of a continuous random variable is a Answer: probability density function 85.) The assembly time for a product is uniformly distributed between 6 to 10 minutes. The expected assembly time (in minutes) is Answer: 8 86.) The assembly time for a product is uniformly distributed between 6 to 10 minutes. The probability of assembling the product between 7 to 9 minutes is Answer: 0.50 87.) The assembly time for a product is uniformly distributed between 6 to 10 minutes. The probability of assembling the product in less than 6 minutes is Answer: zero