2nd Midterm Sample Exam

Sample Term Test 2A 1. A variable X has a distribution which is described by the density curve shown below: What proportion of values of X fall between 1 and 6? (A) 0. 550 (B) 0. 575 (C) 0. 600 (D) 0. 625 (E) 0. 650 2. Which of the following statements about a normal distribution is true? (A) The value of  µ must always be positive. (B) The value of ? must always be positive. (C) The shape of a normal distribution depends on the value of  µ. (D) The possible values of a standard normal variable range from ? 3. 49 to 3. 49. (E) The area under a normal curve depends on the value of ?. 3.The values in parentheses are the probabilities of each team winning their respective game. Game Game Game Game Game 1: 2: 3: 4: 5: Finland (0. 43) USA (0. 28) Japan (0. 11) Denmark (0. 33) France (0. 18) vs. vs. vs. vs. vs. Germany (0. 57) Switzerland (0. 72) Canada (0. 89) Sweden (0. 67) Scotland (0. 82) 20. The outcome of interest is the set of winners of the ? ve games. How many outcomes are con tained in the sample space? (A) 5 (B) 10 (C) 25 (D) 32 (E) 64 21. In a sports game, the â€Å"favourite† is the team with the higher probability of winning and the â€Å"underdog† is the team who is less likely to win.What is the probability that at least one underdog wins? (A) 0. 93 (B) 0. 74 (C) 0. 80 (D) 0. 67 (E) 0. 59 22. A recently married couple plans to have two children. The outcome of interest is the gender of each of the two children. Consider the event that exactly one of the couple’s children will be a boy. Which of the following is the complement of this event? (A) two boys (B) two girls (C) one girl (D) at least one girl (E) zero or two girls 23. A manufacturer of automobile batteries claims that the distribution of battery lifetimes has a mean of 54 months and a variance of 36 months squared.Suppose a consumer group decides to check the claim by purchasing a sample of 50 of these batteries and subjecting them to tests to determine their lifetime. Assuming the manufacturer’s claim is true, what is the probability that the sample has a mean lifetime less than 52 months? (A) 0. 1292 (B) 0. 3707 (C) 0. 0091 (D) 0. 4909 (E) 0. 3483 24. A recycling plant compresses aluminum cans into bales. The weights of the bales are known to follow a normal distribution with standard deviation eight pounds. In a random sample of 64 bales, what is the probability that the sample mean di? ers from the population mean by no more than one pound? A) 0. 3413 (B) 0. 4772 (C) 0. 6826 (D) 0. 9544 (E) 0. 1587 25. The monthly mortgage payment for recent home buyers in Winnipeg has a mean of $732, and a standard deviation of $421. A random sample of 125 recent home buyers is selected. The approximate probability that their average monthly mortgage payment will be more than $782 is: (A) 0. 9082 (B) 0. 4522 (C) 0. 4082 (D) 0. 0478 (E) 0. 0918 26. Weights of pears in an orchard follow a normal distribution with mean 195 grams and standard deviation 40 grams.A random sample of ? ve pears is selected. What is the probability that the total weight of the pears is greater than one kilogram (i. . , 1,000 grams)? (A) 0. 2795 (B) 0. 3897 (C) 0. 2451 (D) 0. 3264 (E) 0. 4129 27. The fact that the sample mean does not tend to over- or underestimate the population mean makes the sample mean: (A) resistant. (B) unbiased. (C) e? cient. (D) a statistic. (E) a parameter. 28. A random variable X follows a uniform distribution with mean 3 and standard deviation 1. 73. We take a random sample of size 100 from this distribution and calculate the sample mean X. The sampling distribution of X is: (A) approximately normal with mean 3 and standard deviation 0. 173. B) uniform with mean 3 and standard deviation 1. 73. (C) approximately normal with mean 3 and standard deviation 0. 0173. (D) uniform with mean 3 and standard deviation 0. 173. (E) approximately normal with mean 3 and standard deviation 1. 73. 29. The sampling distribution of a statistic is : (A) the density function of the population from which the sample was selected. (B) the distribution of values taken by the statistic in all possible samples of the same size from the same population. (C) the distribution of the population from which the sample is drawn. D) approximately normally distributed if the sample is large enough, regardless of the shape of the population from which the sample is drawn.(E) all of the above. 30. Which of the following variables has a binomial distribution? (I) You repeatedly roll a fair die. X = number of rolls needed to observe the number 6 for the third time. (II) Tim Hortons is holding its annual â€Å"Roll Up the Rim to Win† promotion. Customers can check under the rim of a co? ee cup to see if they have won a prize. You buy one cup of co? ee from Tim Hortons each day for a week. X = number of times you win a prize during the week. III) A quality control inspector in a factory routinely examines samples of ? ber-optic cable being produced to check for defects. The inspector examines a 100-foot length of cable. X = number of defects found on the cable. (A) I only (B) II only (C) I and II only (D) II and III only (E) I, II, and III 31. There are four patients on the neo-natal ward of a local hospital who are monitored by two sta? members. Suppose the probability (at any one time) of a patient requiring attention by a sta? member is 0. 3. Assuming the patients behave independently, what is the probability at any one time that there will not be su? cient sta? o attend to all patients who need them? (A) 0. 0756 (B) 0. 1104 (C) 0. 0837 (D) 0. 0463 (E) 0. 2646 The next two questions (32 and 33) refer to the following: According to the Canadian Blood Services website, 9% of Canadians have type B blood. 32. If a sample of 8 donors is selected, what is the probability that less than two of them will have type B blood? (A) 0. 8424 (B) 0. 9711 (C) 0. 3721 (D) 0. 4703 (E) 0. 1576 33. Suppose we select a random sample of 175 blood donors and calculate the proportion p ? of individuals with type B blood. The standard deviation of p is: ? (A) 0. 0216 (B) 0. 0358 (C) 0. 0417 (D) 0. 0598 (E) 0. 0647The next two questions (34 and 35) refer to the following: It is known that 53% of students at a large university are female and 47% are male. 34. If we take a random sample of 12 students at the university, what is the probability that exactly seven of them are female? (A) 0. 1734 (B) 0. 1834 (C) 0. 1934 (D) 0. 2034 (E) 0. 2134 35. If we take a random sample of 200 students at the university, what is the approximate probability that less than half of them are male? (A) 0. 7291 (B) 0. 8023 (C) 0. 7852 (D) 0. 8508 (E) 0. 7517 Sample Term Test 2B 1. A random variable X is described by the density curve shown below: The probability of P (3 ?X ? 6) is equal to: (A) 0. 55 (B) 0. 45 (C) 0. 375 (D) 0. 40 (E) 0. 60 2. A random variable X follows a uniform distribution on the interval from 10 to 15. What proportion of values of X are greater than 13. 2? (A) 0. 18 (B) 0. 88 (C) 0. 36 (D) 0. 12 (E) 0. 28 3. Which of the following statements about a normal distribution is true? (A) The mean of a normal distribution must always be greater than zero. (B) For a standard normal distribution, P (Z < z) = P (Z > ? z) for any value z. (C) The height of a normal density curve must always be equal to one. (D) All values must fall within three standard deviations of the mean. E) The standard deviation of a normal distribution must always be greater than one. 4. A variable X follows a normal distribution with mean 10 and standard deviation 5. Another variable Y follows a normal distribution with mean 25 and standard deviation the 10. The maximum height of the density curve for X is (i) maximum height for the density curve for Y, and the area under the density curve for X is (ii) the area under the density curve for Y. (A) (i) greater than, (ii) less than (B) (i) less than, (ii) greater than (C) (i) equa l to, (ii) equal to (D) (i) greater than, (ii) equal to (E) (i) less than, (ii) less than 5.Weights of apples grown in an orchard are known to follow a normal distribution with mean 160 grams. It is known that approximately 99. 7% of apples have weights between 124 and 196 grams. What is the standard deviation of weights of all apples grown in the orchard? (A) 9 grams (B) 12 grams (C) 18 grams (D) 24 grams (E) 36 grams 6. A variable Z has a standard normal distribution. What is the value b such that P (b ? Z ? 0. 36) = 0. 2470? (A) ? 1. 22 (B) ? 0. 68 (C) ? 0. 27 (D) ? 0. 39 (E) ? 0. 55 The next two questions (7 to 8) refer to the following: Percentage grades in a large geography class follow a normal distribution with mean 67. and standard deviation 12. 5. 7. What proportion of students in the class receive percentage grades between 60 and 70? (A) 0. 2650 (B) 0. 2750 (C) 0. 2850 (D) 0. 2950 (E) 0. 3050 8. The professor decides to assign a grade of A+ to the students with the top 8% of the grades, and a grade of A to the next best 12%. What is the minimum percentage a student needs to earn a grade of A? (A) 77 (B) 78 (C) 79 (D) 80 (E) 81 9. The contents of bottles of water follow a normal distribution with mean  µ and standard deviation 4 ml. What proportion of bottles have ? ll volumes within 1 ml of the mean? (A) 0. 1974 (B) 0. 987 (C) 0. 6826 (D) 0. 4013 (E) unable to calculate without the value of  µ 10. A candy company manufactures hard candies in ? ve di? erent ? avours, according to the following probability distribution, where k is some constant: Cherry Root Beer Flavour Probability 0. 21 k Strawberry Orange Peppermint 0. 27 k 0. 14 If you select a candy at random, what is the probability that it will be fruit-? avoured? (A) 0. 48 (B) 0. 67 (C) 0. 68 (D) 0. 72 (E) 0. 86 11. Event A has probability of 0. 4 to occur and Event B has a probability of 0. 5 to occur. Their union (A or B) has a probability of 0. 7 to occur.Then: (A) A and B are mutually e xclusive. (B) A and B are not mutually exclusive. (C) A and B are independent. (D) A and B are dependent. (E) both (B) and (C). 12. You have two unfair coins. On any given ? ip, the ? rst coin has a 40% chance of landing on Heads and the second coin has a 25% chance of landing on Heads. If you ? ip both coins, what is the probability that at least one of them lands on Heads? (A) 0. 10 (B) 0. 45 (C) 0. 55 (D) 0. 65 (E) 0. 90 13. A fair six-sided die will be rolled. De? ne A to be the event that an even number is rolled and de? ne B to be the event that a prime number is rolled.Which of the following events is the intersection of A and B? (A) {2} (B) {2, 3, 5} (C) {2, 3, 4, 5, 6} (D) {3, 5} (E) {1, 2, 3, 4, 5, 6} 14. Suppose it is known that 61% of Winnipeg adults read the Winnipeg Free Press, 29% read the Winnipeg Sun and 18% read both newspapers. What is the probability that a randomly selected adult in Winnipeg reads only one of the two papers (but not both)? Hint: Draw a Venn diag ram. (A) 0. 54 (B) 0. 50 (C) 0. 45 (D) 0. 72 (E) 0. 47 The next two questions (15 and 16) refer to the following: A hockey players compiles the following facts: †¢ Her team wins (W) 60% of their games. She scores a goal (G) in 30% of her games. †¢ She gets a penalty (P) in 40% of her games. †¢ In 38% of her games, her team wins and she scores a goal. †¢ In 24% of her games, her team wins and she gets a penalty. †¢ in 15% of her games, she scores a goal and gets a penalty. 15. In any given game, what is the probability that the player scores a goal or gets a penalty? (A) 0. 85 (B) 0. 55 (C) 0. 70 (D) 0. 65 (E) 0. 58 16. Which of the following statements is true? (A) W and G are independent. (B) G and P are mutually exclusive (disjoint). (C) W and P are independent. (D) W and G are mutually exclusive (disjoint). (E) G and P are independent. 7. Weights of oranges sold at a supermarket follow a normal distribution with mean 0. 22 pounds and standard deviation 0. 04 pounds. If you randomly select four oranges, what is the probability that their total weight is less than 1 pound? (A) 0. 9719 (B) 0. 8508 (C) 0. 9332 (D) 0. 7967 (E) 0. 8340 The next two questions (18 and 19) refer to the following: The time X taken by a cashier in a grocery store express lane follows a normal distribution with mean 90 seconds and standard deviation 20 seconds. 18. What is the ? rst quartile (Q1) of the distribution of X? (A) 73. 8 seconds (B) 85. 0 seconds (C) 69. 4 seconds (D) 81. seconds (E) 76. 6 seconds 19. What is the probability that the average service time for the next three customers is between 80 and 100 seconds? (Assume the next three customers can be considered a simple random sample. ) (A) 0. 6156 (B) 0. 4893 (C) 0. 7212 (D) 0. 5559 (E) impossible to calculate with the information given The next two questions (20 and 21) refer to the following: The amount X spent (in $) by customers in the grocery store express lane follow some right-skewed distri bution with mean $24 and standard deviation $15. 20. What is the probability that the average amount spent by the next three customers is more than $20? Assume the next three customers can be considered a simple random sample. ) (A) 0. 4619 (B) 0. 6772 (C) 0. 8186 (D) 0. 7673 (E) impossible to calculate with the information given 21. What is the probability that the next 40 customers spend less than $1,000 in total? (Assume the next 40 customers can be considered a simple random sample). (A) 0. 5199 (B) 0. 6064 (C) 0. 6628 (D) 0. 5784 (E) 0. 6331 22.The distribution of weights of chocolate bars produced by a certain machine is normal with mean 253 grams and standard deviation 3 grams. A sample of ? ve of these chocolate bars is selected. There is only a 2. % chance that the average weight of the sample will be below: (A) 250. 37 grams. (B) 254. 10 grams. (C) 252. 63 grams. (D) 251. 54 grams. (E) 249. 82 grams. The next two questions (23 and 24) refer to the following: A bimodal prob ability distribution is one with two distinct peaks. A random variable X follows a bimodal distribution with mean 15 and standard deviation 4, as shown below: 23. Suppose that you take a random sample of 10,000 observations from the population above and make a histogram. You expect the histogram to be: (A) approximately normal with mean close to 15 and standard deviation close to 0. 004. (B) bimodal with mean close to 15 and standard deviation close to 0. 04. (C) approximately normal with mean close to 15 and standard deviation close to 0. 04. (D) bimodal with mean close to 15 and standard deviation close to 4. (E) approximately normal with mean close to 15 and standard deviation close to 4. 24. Suppose that you take 10,000 random samples of 10,000 observations from the population above and that for each sample, the mean x is calculated. A histogram of resulting x’s ? ? would be:(A) approximately normal with mean close to 15 and standard deviation close to 0. 0004. B) bimodal with mean close to 15 and standard deviation close to 0. 04. (C) approximately normal with mean close to 15 and standard deviation close to 0. 04. (D) bimodal with mean close to 15 and standard deviation close to 4. (E) approximately normal with mean close to 15 and standard deviation close to 4. 25. The Central Limit Theorem states that: ? (A) when n gets large, the standard deviation of the sample mean X gets closer and v closer to ? / n. (B) regardless of the population distribution of a random variable X, when n gets large, ? the sampling distribution of X is approximately normal. C) if a random variable X follows a normal distribution, then when n gets large, the ? sampling distribution of X is exactly normal. ? (D) when n gets large, the sample mean X gets closer and closer to the population mean  µ. ? (E) when n gets large, the sample mean X becomes an unbiased estimator of the population mean  µ. 26. Which of the following variables has a binomial distribution? (A) You roll ? ve fair dice, each with face values of 1 through 6. X = total number of dots facing up on the ? ve dice. (B) An airplane carrying 100 passengers has two emergency exits, one at the front of the plane and one at the back.The airplane makes an emergency landing. X = number of people who leave the plane through the front exit. (C) A paper boy delivers the newspaper to every house on your block. X = number of houses that get their newspaper on time tomorrow morning. (D) You repeatedly ? ip two quarters simultaneously until both quarters land on Heads. X = number of ? ips required for both quarters to land on Heads. (E) A student randomly guesses the answer to each of the 40 multiple choice questions on this exam. X = number of multiple choice questions the student gets correct. 27. The probability that a certain machine will produce a defective item is 1/4.If a random sample of six items is taken from the output of this machine, what is the probability that there will be at least ? ve defectives in the sample? (A) 1 4096 (B) 3 4096 (C) 4 4096 (D) 18 4096 (E) 19 4096 28. Event A occurs with probability 0. 12. Event B occurs with probability 0. 88. If A and B are mutually exclusive (disjoint) events, then (A) P(A and B) = 0. 11 (B) P(A and B) = 0. 00 (C) P(A or B) = 1. 00 (D) P(A or B) = 0. 11 (E) both (B) and (C) are correct 29. A random variable X follows a binomial distribution with parameters n and p. If the mean and the variance of X are 3. 6 and 2. 2 respectively, then the values of the parameters n and p are, respectively: (A) 6 and 0. 6. (B) 18 and 0. 2. (C) 24 and 0. 15. (D) 12 and 0. 3. (E) 12 and 0. 4. 30. A student driving to university must pass through seven sets of tra? c lights. Suppose it is known that each set of tra? c lights are red 35% of the time and that all lights function independently. What is the probability that the student will have to stop at two or more sets of lights on her to university? (A) 0. 6828 (B) 0. 2985 (C) 0. 4893 (D) 0. 7662 (E) 0. 5997 The next three questions (31 and 33) refer to the following: We have a small deck of ten cards.Five of the cards are red, three are blue and two are green. We randomly select four cards from the deck with replacement. That is, after we select a card and record the colour, we put the card back in the deck and thoroughly shu? e them before we select another card. 31. Let X be the number of blue cards that are selected. The distribution of X is: (A) binomial with parameters n = 4 and p = 0. 1. (B) binomial with parameters n = 10 and p = 0. 3. (C) binomial with parameters n = 10 and p = 0. 4. (D) binomial with parameters n = 4 and p = 0. 3. (E) normal with parameters  µ = 1. 2 and ? = 0. 92. 32. Let A be the event that the ? st selected card is the only red card in our four selections. Which of the following events is mutually exclusive (disjoint) from the event A? (A) Second card selected is blue. (B) No green cards are selected. (C) Third selected card is the on ly green. (D) Same number of red and blue cards are selected. (E) Same number of blue and green cards are selected. 33. What is the probability that the ? rst two selected cards are the same colour? (A) 0. 38 (B) 0. 25 (C) 0. 29 (D) 0. 33 (E) 0. 41 The next two questions (34 and 35) refer to the following: Suppose it is known that 8% of males are colour blind. 4. In a random sample of 20 males, what is the probability that exactly 3 of them are colour blind? (A) 0. 1212 (B) 0. 1313 (C) 0. 1414 (D) 0. 1515 (E) 0. 1616 35. In a random sample of 500 males, what is the approximate probability that at least 10% of them are colour blind? (A) 0. 03 (B) 0. 04 (C) 0. 05 (D) 0. 06 (E) 0. 07 Answers Question 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 Term Test 2A A B A A B B B A B E A E C E B D C B D D C E C C E B B A D B C A A E B Term Test 2B A C B D B C E B A B E C A A B C C E A E C A D C B E E E D D D E A C C