Q&A Hero

Q: Given P (A) = 0.45, P (B) = 0.30, P (A B) = 0.05. Find P (B|A).a) 0.45b) 0.135c) 0.30d) 0.111e) 0.167

Q: Given P (A) = 0.45, P (B) = 0.30, P (A B) = 0.05. Find P (A|B). a) 0.45 b) 0.135 c) 0.30 d) 0.111 e) 0.167

Q: Max Sandlin is exploring the characteristics of stock market investors. He found that sixty percent of all investors have a net worth exceeding $1,000,000; 20% of all investors use an online brokerage; and 10% of all investors a have net worth exceeding $1,000,000 and use an online brokerage. An investor is selected randomly, and E is the event "net worth exceeds $1, 000, 000," and O is the event "uses an online brokerage." P(O|E) = _____________. a) 0.17 b) 0.50 c) 0.80 d) 0.70 e) 0.88

Q: Abel Alonzo, Director of Human Resources, is exploring employee absenteeism at the Plano Power Plant. Ten percent of all plant employees work in the finishing department; 20% of all plant employees are absent excessively; and 7% of all plant employees work in the finishing department and are absent excessively. A plant employee is selected randomly; F is the event "works in the finishing department;" and A is the event "is absent excessively." P(F|A) = _____________. a) 0.35 b) 0.70 c) 0.13 d) 0.37 e) 0.10

Q: Abel Alonzo, Director of Human Resources, is exploring employee absenteeism at the Plano Power Plant. Ten percent of all plant employees work in the finishing department; 20% of all plant employees are absent excessively; and 7% of all plant employees work in the finishing department and are absent excessively. A plant employee is selected randomly; F is the event "works in the finishing department;" and A is the event "is absent excessively." P(A|F) = _____________. a) 0.37 b) 0.70 c) 0.13 d) 0.35 e) 0.80

Q: Let F be the event that a student is enrolled in a finance course, and let S be the event that a student is enrolled in a statistics course. It is known that 40% of all students are enrolled in a finance course and 35% of all students are enrolled in statistics. Included in these numbers are 15% who are enrolled in both statistics and finance. A student is randomly selected, and it is found that the student is enrolled in finance. What is the probability that this student is also enrolled in statistics? a) 0.15 b) 0.75 c) 0.375 d) 0.50 e) 0.80

Q: Suppose that 3% of all TVs made by some Company in 2012 are defective. If 2 of these TVs are randomly selected what is the probability that both are defective? a) 0.0009 b) 0.0025 c) 0.0900 d) 0.0475 e) 0.19

Q: Suppose 5% of the population have a certain disease. A laboratory blood test gives a positive reading for 95% of people who have the disease. What is the probability of testing positive and having the disease? a) 0.0475 b) 0.95 c) 0.05 d) 0.9 e)0.02

Q: An automobile dealer wishes to investigate the relation between the gender of the buyer and type of vehicle purchased. Based on the joint probability table below that was developed from the dealer's records for the previous year, P (Female SUV) = _______. Type of Buyer Gender Vehicle Female Male Total SUV Not SUV .30 .40 Total .60 1.00 a) 0.30 b) 0.40 c) 0.12 d) 0.10 e) 0.60

Q: It is known that 20% of all students in some large university are overweight, 20% exercise regularly and 2% are overweight and exercise regularly. What is the probability that a randomly selected student is either overweight or exercises regularly or both? a) 0.40 b) 0.38 c) 0.20 d) 0.42 e) 0.10

Q: A market research firm is investigating the appeal of three package designs. The table below gives information obtained through a sample of 200 consumers. The three package designs are labeled A, B, and C. The consumers are classified according to age and package design preference. A B C Total Under 25 years 22 34 40 96 25 or older 54 28 22 104 Total 76 62 62 200 If one of these consumers is randomly selected, what is the probability that the person prefers design A and is under 25? a) 0.22 b) 0.11 c) 0.18 d) 0.54 e) 0.78

Q: A market research firm is investigating the appeal of three package designs. The table below gives information obtained through a sample of 200 consumers. The three package designs are labeled A, B, and C. The consumers are classified according to age and package design preference. A B C Total Under 25 years 22 34 40 96 25 or older 54 28 22 104 Total 76 62 62 200 If one of these consumers is randomly selected, what is the probability that the person prefers design A? a) 0.76 b) 0.38 c) 0.33 d) 0.22 e) 0.39

Q: The table below provides summary information about students in a class. The sex of each individual and their age is given. Male Female Total Under 20 yrs old 10 8 18 Between 20 and 25 yrs old. 12 18 30 Older than 25 yrs. 26 26 52 Total 48 52 100 If a student is randomly selected from this group, what is the probability that the student is a female who in under 20 years old? a) 0.08 b) 0.18 c) 0.52 d) 0.26 e) 0.78

Q: The table below provides summary information about students in a class. The sex of each individual and their age is given. Male Female Total Under 20 yrs old 10 8 18 Between 20 and 25 yrs old. 12 18 30 Older than 25 yrs. 26 26 52 Total 48 52 100 If a student is randomly selected from this group, what is the probability that the student is male? a) 0.12 b) 0.48 c) 0.50 d) 0.52 e) 0.68

Q: Meagan Dubean manages a portfolio of 200 common stocks. Her staff classified the portfolio stocks by 'industry sector' and 'investment objective.' Investment Industry Sector Objective Electronics Airlines Healthcare Total Growth 100 10 40 150 Income 20 20 10 50 Total 120 30 50 200 If a stock is selected randomly from Meagan's portfolio, P (Healthcare Electronics) = _______. a) 0.25 b) 0.85 c) 0.60 d) 0.75 e) 0.90

Q: Meagan Dubean manages a portfolio of 200 common stocks. Her staff classified the portfolio stocks by 'industry sector' and 'investment objective.' Investment Industry Sector Objective Electronics Airlines Healthcare Total Growth 100 10 40 150 Income 20 20 10 50 Total 120 30 50 200 If a stock is selected randomly from Meagan's portfolio, P (Growth) = _______. a) 0.50 b) 0.83 c) 0.67 d) 0.75 e) 0.90

Q: An automobile dealer wishes to investigate the relation between the gender of the buyer and type of vehicle purchased. Based on the following joint probability table that was developed from the dealer's records for the previous year, P (SUV) = ___________. Type of Buyer Gender Vehicle Female Male Total SUV Not SUV .30 .40 Total .60 1.00 a) 0.30 b) 0.40 c) 0.12 d) 0.10 e) 0.60

Q: An automobile dealer wishes to investigate the relation between the gender of the buyer and type of vehicle purchased. Based on the following joint probability table that was developed from the dealer's records for the previous year, P (Female) = __________. Type of Buyer Gender Vehicle Female Male Total SUV Not SUV .30 .40 Total .60 1.00 a) 0.30 b) 0.40 c) 0.12 d) 0.10 e) 0.60

Q: An automobile dealer wishes to investigate the relation between the gender of the buyer and type of vehicle purchased. Based on the following joint probability table that was developed from the dealer's records for the previous year, P (Male) = ________ Type of Buyer Gender Vehicle Female Male Total SUV Not SUV .32 .48 Total .40 1.00 a) 0.48 b) 0.50 c) 0.20 d) 0.02 e) 0.60

Q: Given P(A) = 0.40, P(B) = 0.50, P(A B) = 0.15. Find P(A B). a) 0.90 b) 1.05 c) 0.75 d) 0.65 e) 0.60

Q: Max Sandlin is exploring the characteristics of stock market investors. He found that sixty percent of all investors have a net worth exceeding $1,000,000; 20% of all investors use an online brokerage; and 10% of all investors a have net worth exceeding $1,000,000 and use an online brokerage. An investor is selected randomly, and E is the event "net worth exceeds $1,000,000" and O is the event "uses an online brokerage." P(O E) = _____________. a) 0.17 b) 0.50 c) 0.80 d) 0.70 e) 0.10

Q: Abel Alonzo, Director of Human Resources, is exploring employee absenteeism at the Plano Power Plant. Ten percent of all plant employees work in the finishing department; 20% of all plant employees are absent excessively; and 7% of all plant employees work in the finishing department and are absent excessively. A plant employee is selected randomly; F is the event "works in the finishing department;" and A is the event "is absent excessively." P(A F) = _____________. a) 0.07 b) 0.10 c) 0.20 d) 0.23 e) 0.37

Q: Let F be the event that a student is enrolled in a finance course, and let S be the event that a student is enrolled in a statistics course. It is known that 40% of all students are enrolled in a finance course and 35% of all students are enrolled in statistics. Included in these numbers are 15% who are enrolled in both statistics and finance. A student is randomly selected, what is the probability that the student is enrolled in either finance or statistics or both? a) 0.15 b) 0.75 c) 0.60 d) 0.55 e) 0.90

Q: Which of the following statements in not true? a. the marginal probability uses the total possible outcomes in the denominator b. the union probability is the probability of X or Y occurring. c. the joint probability uses the probability of X in the denominator d. the conditional probability uses subtotal of the possible outcomes in denominator

Q: Let F be the event that a student is enrolled in afinance course, and let S be the event that a student is enrolled in a statistics course. It is known that 40% of all students are enrolled in a finance course and 35% of all students are enrolled in statistics. Included in these numbers are 15% who are enrolled in both statistics and finance. Find the probability that a student is in finance and is also in statistics. a) 0.15 b) 0.70 c) 0.55 d) 0.12 e) 0.60

Q: Let F be the event that a student is enrolled in a finance course, and let S be the event that a student is enrolled in a statistics course. It is known that 40% of all students are enrolled in an finance course and 35% of all students are enrolled in statistics. Included in these numbers are 15% who are enrolled in both statistics and finance. Find P(S). a) 0.15 b) 0.35 c) 0.40 d) 0.55 e) 0.60

Q: The number of different committees of 2 students that can be chosen from a group of 5 students is a) 20 b) 2 c) 5 d) 10 e) 1

Q: Meagan Dubean manages a portfolio of 200 common stocks. Her staff classified the portfolio stocks by 'industry sector' and 'investment objective.' Investment Industry Sector Objective Electronics Airlines Healthcare Total Growth 84 21 35 140 Income 36 9 15 60 Total 120 30 50 200 Which of the following statements is true? a) Growth and Healthcare are complementary events. b) Electronics and Growth are independent. c) Electronics and Growth are mutually exclusive. d) Airlines and Healthcare are collectively exhaustive. e) Electronics and Healthcare are collectively exhaustive.

Q: Meagan Dubean manages a portfolio of 200 common stocks. Her staff classified the portfolio stocks by 'industry sector' and 'investment objective.' Investment Industry Sector Objective Electronics Airlines Healthcare Total Growth 100 10 40 150 Income 20 20 10 50 Total 120 30 50 200 Which of the following statements is not true? a) Growth and Income are complementary events. b) Electronics and Growth are dependent. c) Electronics and Healthcare are mutually exclusive. d) Airlines and Healthcare are collectively exhaustive. e) Growth and Income are collectively exhaustive.

Q: If E and F are mutually exclusive, then _______. a) the probability of the union is zero b) P(E) = 1 - P(F) c) the probability of the intersection is zero d) the probability of the union is one e) P(E) = P(F)

Q: Consider the following sample space, S, and several events defined on it. S = {Albert, Betty, Abel, Jack, Patty, Meagan}, and the events are: F = {Betty, Patty, Meagan}, H = {Abel, Meagan}, and P = {Betty, Abel}. The complement of F is ___________. a) {Albert, Betty, Jack, Patty} b) {Betty, Patty, Meagan} c) {Albert, Abel, Jack} d) {Betty, Abel} e) {Meagan}

Q: Consider the following sample space, S, and several events defined on it. S = {Albert, Betty, Abel, Jack, Patty, Meagan}, and the events are: F = {Betty, Patty, Meagan}, H = {Abel, Meagan}, and P = {Betty, Abel}. F H is ___________. a) {Meagan} b) {Betty, Abel, Patty, Meagan} c) empty, since F and H are complements d) empty, since F and H are independent e) empty, since F and H are mutually exclusive

Q: Consider the following sample space, S, and several events defined on it. S = {Albert, Betty, Abel, Jack, Patty, Meagan}, and the events are: F = {Betty, Patty, Meagan}, H = {Abel, Meagan}, and P = {Betty, Abel}. F H is ___________. a) {Meagan} b) {Betty, Patty, Abel, Meagan} c) empty, since F and H are complements d) empty, since F and H are independent e) empty, since F and H are mutually exclusive

Q: If X and Y are mutually exclusive events, then if X occurs _______. a) Y must also occur b) Y cannot occur c) X and Y are independent d) X and Y are complements e) A and Y are collectively exhaustive

Q: In a set of 12 aluminum castings, two castings are defective (D), and the remaining ten are good (G). A quality control inspector randomly selects three of the twelve castings with replacement, and classifies each as defective (D) or good (G). The sample space for this experiment contains __________ elementary events. a) 1,728 b) 220 c) 120 d) 10 e) 66

Q: In a set of 25 aluminum castings, four castings are defective (D), and the remaining twenty-one are good (G). A quality control inspector randomly selects three of the twenty-five castings without replacement, and classifies each as defective (D) or good (G). The sample space for this experiment contains ____________ elementary events. a) 12,650 b) 2,300 c) 455 d) 16 e) 15,6255

Q: The list of all elementary events for an experiment is called _______. a) the sample space b) the exhaustive list c) the population space d) the event union e) a frame

Q: Assigning probability 1/52 on drawing the ace of spade in a deck of cards is an example of assigning probabilities using the ________________ method a) subjective probability b) relative frequency c) classical probability d) a priori probability e) a posterior probability

Q: Which of the following is a legitimate probability value? a) 1.67 b) 16/15 c) -0.23 d) 3/2 e) 0.28

Q: Which of the following is not a legitimate probability value? a) 0.87 b) 12/13 c) 0.05 d) 5/4 e) 0.93

Q: Belinda Bose is reviewing a newly proposed advertising campaign. Based on her 15-years' experience, she believes the campaign has a 75% chance of significantly increasing brand name recognition of the product. This is an example of assigning probabilities using the ________________ method. a) subjective probability b) relative frequency c) classical probability d) a priori probability e) a posterior probability

Q: Which of the following statements is not true regarding probabilities: a. probability is the basis for inferential statistics b. probabilities are subjective measures with limited value in business. c. probabilities are used to determine the likelihood of certain outcomes d. probabilities can inform many business decisions.

Q: Bayes' rule is an extension of the law of conditional probabilities to allow revision of original probabilities with new information.

Q: Bayes' rule is a rule to assign probabilities under the relative frequency method.

Q: Given two events A and B each with a non-zero probability, if the conditional probability of A given B is zero, it implies that the events A and B are mutually exclusive.

Q: Given two events A and B each with a non-zero probability, if the conditional probability of A given B is zero, it implies that the events A and B are independent.

Q: A sample of 117 records of the selling price in dollars of homes from Feb 15 to Apr 30, 2013 was taken from the files maintained by the Albuquerque Board of Realtors. The following are summary statistics for the selling prices. Variable N Mean Minimum Q1 Median Q3 Maximum Prices 117 106270 54000 77650 96000 121750 215000 From this we can conclude that, a) There are no outliers b) More homes were sold for greater than $121750 than for less than $77650 c) 68% of the selling price of homes is from $77650 to $121750 d) 25% of the selling price of homes is at least $121750 e) The distribution of selling price of homes is negatively skewed.

Q: David Desreumaux, VP of Human Resources of American First Banks (AFB), is reviewing the employee training programs of AFB banks. His staff reports several statistics for teller training hours. The mean is 20 hours, the standard deviation is 5 hours, the median is 15 hours, and mode is 10 hours. The Pearsonian coefficient of skewness for teller training hours is __________. a) 6 b) 1 c) 3 d) 4 e) 0

Q: In its Industry Norms and Key Business Ratios, Dun & Bradstreet reported that Q1, Q2, and Q3 for 2,037 gasoline service stations' sales to inventory ratios were 20.8, 33.4, and 53.8, respectively. From this we can conclude that ____________. a) 68% of these service stations had sales to inventory ratios of 20.8 or less b) 50% of these service stations had sales to inventory ratios of 33.4 or less c) 50% of these service stations had sales to inventory ratios of 53.8 or more d) 95% of these service stations had sales to inventory ratios of 33.4 or more e) 99% of these service stations had sales to inventory ratios of 53.8 or more

Q: Karen Merlott, VP for Strategic Planning at a recruitment firm, recently conducts a survey to determine customer satisfaction with job placement. She distributed the survey to 45 of the most recently placed executives. Two items on a survey questionnaire them to rate the importance of "initial interview process" and "satisfaction of final job placement" on a scale of 1 to 10 (with 1 meaning "not important" and 10 meaning "highly important"). Her staff assembled the following statistics on these two items. Initial Interview Process Satisfaction of Final Job Placement Mean 8.5 7.5 Median 9 8.5 Mode 9.0 9 Standard Deviation 1.0 1.5 What can Karen conclude from these statistics? a) The Initial Interview Process distribution is positively skewed. b) The Initial Interview Process distribution is not skewed. c) The Satisfaction of Final Job Placement distribution is negatively skewed. d) The Satisfaction of Final Job Placement distribution is positively skewed. e) Both are symmetrically distributed.

Q: David Desreumaux, VP of Human Resources of American First Banks (AFB), is reviewing the employee training programs of AFB banks. His staff compiled the following table of regional statistics on teller training hours. Southeast Region Southwest Region Mean 20 28 Median 20 20 Mode 20 21 Standard Deviation 5 7 What can David conclude from these statistics? a) The Southeast distribution is symmetrical. b) The Southwest distribution is skewed to the left. c) The Southeast distribution has the greater dispersion. d) The Southeast distribution is skewed to the left. e) The two distributions are symmetrical.

Q: Shaun Connor, Human Resources Manager forAmerican Oil Terminals (AOT), is reviewing the operator training hours at AOT nationally. His staff compiled the following table of national statistics on operators training hours. West Coast Region East Coast Region Mean 32 38 Median 32 32 Mode 32 27 Standard Deviation 8 7 What can Shaun conclude from these statistics? a) The East Coast distribution is skewed to the left. b) The East Coast distribution is skewed to the right. c) The West Coast distribution is skewed to the left. d) The West Coast distribution is skewed to the right. e) Both distributions are symmetrical.

Q: The following frequency distribution was constructed for the wait times to check out at the grocery store. The frequency distribution reveals that the wait times to check out at the grocery store are _______. a) skewed to the left b) skewed to the right c) not skewed d) normally distributed e) symmetrical

Q: The following frequency distribution was constructed for the wait times in the emergency room. The frequency distribution reveals that the wait times in the emergency room are _______. a) skewed to the left b) skewed to the right c) not skewed d) normally distributed e) symmetrical

Q: The following box and whisker plot was constructed for the age of accounts receivable. The box and whisker plot reveals that the accounts receivable ages are _______. a) skewed to the left b) skewed to the right c) not skewed d) normally distributed e) symmetrical

Q: The following box and whisker plot was constructed for the age of accounts receivable. The box and whisker plot reveals that the accounts receivable ages are _______. a) skewed to the left b) skewed to the right c) not skewed d) normally distributed e) symmetrical

Q: Pinky Bauer, Chief Financial Officer of Harrison Haulers, Inc., suspects irregularities in the payroll system, and orders an inspection of "each and every payroll voucher issued since January 1, 1993." Each payroll voucher was inspected and the following frequency distribution was compiled. Errors per Voucher Number of Vouchers 0-under 2 500 2-under 4 400 4-under 6 300 6-under 8 200 8-under 10 100 The median number of errors per voucher is __________. a) 3.67 b) 5 c) 3.25 d) 400 e) 3

Q: Pinky Bauer, Chief Financial Officer of Harrison Haulers, Inc., suspects irregularities in the payroll system, and orders an inspection of "each and every payroll voucher issued since January 1, 1993." Each payroll voucher was inspected and the following frequency distribution was compiled. Errors per Voucher Number of Vouchers 0-under 2 500 2-under 4 400 4-under 6 300 6-under 8 200 8-under 10 100 The mean number of errors per voucher is __________. a) 3.67 b) 5 c) 750 d) 300 e) 8.7

Q: An instructor is evaluating the performance of students on a test. He records the number of points that each student missed and created a frequency distribution. This is provided below: Points missed Number of students 0-under 10 2 10-under 20 4 20-under 30 10 30-under 40 8 40-under 50 6 What is the standard deviation for this population? a) 11.43 b) 14.14 c) 12.63 d) 13.17 e) 16.90

Q: An instructor is evaluating the performance of students on a test. He records the number of points that each student missed and created a frequency distribution. This is provided below: Points missed Number of students 0-under 10 2 10-under 20 4 20-under 30 10 30-under 40 8 40-under 50 6 What is the variance for this population? a) 11.43 b) 135.17 c) 130.67 d) 180.67 e) 198.07

Q: An instructor is evaluating the performance of students on a test. He records the number of points that each student missed and created a frequency distribution. This is provided below: Points missed Number of students 0-under 10 2 10-under 20 4 20-under 30 10 30-under 40 8 40-under 50 6 What is the mean number of points missed? a) 20 b) 25 c) 29 d) 30 e) 35

Q: The ages of students in a class have been put into the frequency distribution below. Age Number of Students 18 3 19 5 20 28 21 4 What is the mode age of these students? a) 18 b) 19 c) 20 d) 21 e) 23

Q: The ages of students in a class have been put into the frequency distribution below. Age Number of Students 18 3 19 5 20 28 21 4 What is the median age of these students? a) 18 b) 19 c) 19.5 d) 20 e) 20.5

Q: The ages of students in a class have been put into the frequency distribution below. Age Number of Students 18 3 19 5 20 28 21 4 What is the standard deviation for this (population) set of data? a) 0.494 b) 0.703 c) 1.12 d) 1.25 e) 1.35

Q: The ages of students in a class have been put into the frequency distribution below. Age Number of Students 18 3 19 5 20 28 21 4 What is the average age of these students? a) 19.50 b) 19.83 c) 20.00 d) 22.00 e) 23.00

Q: Liz Chapa manages a portfolio of 250 common stocks. Her staff compiled the following performance statistics for two new stocks. Rate of Return Stock Mean Standard Deviation Salas Products, Inc. 15% 5% Hot Boards, Inc. 20% 5% The coefficient of variation for Salas Products, Inc. is __________. a) 300% b) 100% c) 33% d) 5% e) 23%

Q: The average starting salary for graduates at a university is $33,000 with a standard deviation of $2,000. If a histogram of the data shows that it takes on a mound shape, the empirical rule says that approximately 68% of the graduates would have a starting salary between _______. a) 29,000 and 37,000 b) 27,000 and 39,000 c) 25,000 and 41,000 d) 29,000 and 37,000 e) 21,000 and 29,000

Q: The average starting salary for graduates at a university is $33,000 with a standard deviation of $2,000. If a histogram of the data shows that it takes on a mound shape, the empirical rule says that approximately 95% of the graduates would have a starting salary between _______. a) 29,000 and 37,000 b) 27,000 and 39,000 c) 25,000 and 41,000 d) 29,000 and 37,000 e) 21,000 and 29,000

Q: Jessica Salas, president of Salas Products, is reviewing the warranty policy for her company's new model of automobile batteries. Life tests performed on a sample of 100 batteries indicated: (1) an average life of 75 months, (2) a standard deviation of 5 months, and (3) a bell shaped battery life distribution. What percentage of the batteries will fail within the first 65 months of use? a) 0.5% b) 1% c) 2.5% d) 5% e) 7.5%

Q: Jessica Salas, president of Salas Products, is reviewing the warranty policy for her company's new model of automobile batteries. Life tests performed on a sample of 100 batteries indicated: (1) an average life of 75 months, (2) a standard deviation of 5 months, and (3) a bell shaped battery life distribution. Approximately 99.7% of the batteries will last between ________________. a) 70 and 80 months b) 60 and 90 months c) 65 and 85 months d) 55 and 95 months e) 50 and 100 months

Q: Jessica Salas, president of Salas Products, is reviewing the warranty policy for her company's new model of automobile batteries. Life tests performed on a sample of 100 batteries indicated: (1) an average life of 75 months, (2) a standard deviation of 5 months, and (3) a bell shaped battery life distribution. Approximately 95% of the batteries will last between ________________. a) 70 and 80 months b) 60 and 90 months c) 65 and 85 months d) 55 and 95 months e) 60 and 100 months

Q: Jessica Salas, president of Salas Products, is reviewing the warranty policy for her company's new model of automobile batteries. Life tests performed on a sample of 100 batteries indicated: (1) an average life of 75 months, (2) a standard deviation of 5 months, and (3) a bell shaped battery life distribution. Approximately 68% of the batteries will last between ________________. a) 70 and 80 months b) 60 and 90 months c) 65 and 85 months d) 55 and 95 months e) 60 and 100 months

Q: The mean life of a particular brand of light bulb is 1200 hours and the standard deviation is 75 hours. Tests show that the life of the bulb is approximately normally distributed. It can be concluded that approximately 68% of the bulbs will last between _______. a) 900 and 1100 hours b) 950 and 1050 hours c) 975 and 1475 hours d) 1050 and 1350 hours e) 1125 and 1275 hours

Q: The mean life of a particular brand of light bulb is 1200 hours and the standard deviation is 50 hours. It can be concluded that at least 89% of this brand of bulbs will last between _______. a) 1100 and 1300 hours b) 1150 and 1250 hours c) 1050 and 1350 hours d) 1000 and 1400 hours e) 950 and 1450 hours

Q: The mean life of a particular brand of light bulb is 1200 hours and the standard deviation is 50 hours. We can conclude that at least 75% of this brand of bulbs will last between _______. a) 1100 and 1300 hours b) 1150 and 1250 hours c) 1050 and 1350 hours d) 1000 and 1400 hours e) 950 and 1450 hours

Q: A commuter travels many miles to work each morning. She has timed this trip 5 times during the last month. The time (in minutes) required to make this trip was 44, 39, 41, 35, and 41. What is the mean absolute deviation for this sample data? a) 0 b) 12 c) 3 d) 2.4 e) 1.2

Q: A commuter travels many miles to work each morning. She has timed this trip 5 times during the last month. The time (in minutes) required to make this trip was 38, 33, 36, 47, and 41. What is the standard deviation for this sample data? a) 28.5 b) 11 c) 22.8 d) 5.34 e) 4.77

Q: A commuter travels many miles to work each morning. She has timed this trip 5 times during the last month. The time (in minutes) required to make this trip was 38, 33, 36, 47, and 41. What is the variance for this sample data? a) 28.5 b) 11 c) 22.8 d) 5.34 e) 4.77

Q: According to Chebyshev's Theorem how many values in a data set will be within 3 standard deviations of the mean? a) At least 75% b) At least 68% c) At least 95% d) At least 89% e) At least 99%

Q: According to Chebyshev's Theorem, approximately how many values in a large data set will be within 2 standard deviations of the mean? a) At least 75% b) At least 68% c) At least 95% d) At least 89% e) At least 99%