Question 1 of 20 5.0 Points The __________ test is useful for before/after experiments. A. goodness-of-fit B. sign C. median D….

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Question 1 of 20 5.0 Points The __________ test is useful for before/after experiments. A. goodness-of-fit B. sign C. median D….

Question 1 of 20 5.0 Points The __________ test is useful for before/after experiments. A. goodness-of-fit B. sign C. median D. chi-square Reset Selection Mark for Review What’s This? Question 2 of 20 5.0 Points The __________ test is useful for drawing conclusions about data using nominal level of measurement. A. goodness-of-fit B. sign C. median D. chi-square Reset Selection Mark for Review What’s This? Question 3 of 20 5.0 Points In an experiment, a sample size of 10 is drawn, and a hypothesis test is set up to determine: H0 : p = 0.50; H1:p < or = 0.50; for a significance level of .10, the decision rule is as follows: A. Reject H0 if the number of successes is 2 or less. B. Reject H0 if the number of successes is 8 or more. C. Reject H0 if the number of successes is three or less. D. Reject H0 if the number of successes is less than 2 or more than 8. Reset Selection Mark for Review What’s This? Question 4 of 20 5.0 Points For a “before and after” test, 16 of a sample of 25 people improved their scores on a test after receiving computer-based instruction. For H0 : p = 0.50; H1:p is not equal to 0.50; and a significance level of .05: A. z = 1.2, fail to reject the null hypothesis. B. z = 1.4, reject the null hypothesis. C. z = 1.4, fail to reject the null hypothesis. D. z = 1.64, reject the null hypothesis. Reset Selection Mark for Review What’s This? Question 5 of 20 5.0 Points A sample group was surveyed to determine which of two brands of soap was preferred. H0 :p = 0.50; H1: p is not equal to 0.50. Thirty-eight of 60 people indicated a preference. At the .05 level of significance, we can conclude that: A. z = 0.75, fail to reject H0. B. z = 1.94, fail to reject H0. C. z = 1.94, reject H0. D. z = 2.19, reject H0. Reset Selection Mark for Review What’s This? Question 6 of 20 5.0 Points The performance of students on a test resulted in a mean score of 25. A new test is instituted and the instructor believes the mean score is now lower. A random sample of 64 students resulted in 40 scores below 25. At a significance level of α = .05: A. H0 : p = 0.50; H1:p [removed] 0.50. C. H0 : p = 25; H1:p > 25. D. H0 : p = 25; H1:p < 25. Reset Selection Mark for Review What’s This? Question 7 of 20 5.0 Points From the information presented in question #6: A. z = 3.75, we can reject the null hypothesis. B. z = 1.875, we fail to reject the null hypothesis. C. z = -1.625, we fail to reject the null hypothesis. D. z = -1.875, we can reject the null hypothesis. Reset Selection Mark for Review What’s This? Question 8 of 20 5.0 Points A golf club manufacturer claims that the median length of a drive using its driver is 250 yards. A consumer group disputes the claim, indicating that the median will be considerably less. A sample of 500 drives is measured; of these 220 were above 250 yards, and none was exactly 250 yards. The null and alternate hypotheses are: A. Ho: 0 = 250; H1: 0 [removed] 250. C. Ho: 0 > 250; H1: 0 < 250. D. Ho: median = 250; H1: median < 250. Reset Selection Mark for Review What’s This? Question 9 of 20 5.0 Points From the information presented in question #8, using a level of significance = .05: A. z = -1.74; we should fail to reject the null hypothesis. B. z = 2.64; we should fail to reject the null hypothesis. C. z = -2.72; we should fail to reject the null hypothesis. D. z = -3.17; we should reject the null hypothesis. Reset Selection Mark for Review What’s This? Question 10 of 20 5.0 Points The Wilcoxon rank-sum test: A. is a nonparametric test for which the assumption of normality is not required. B. is used to determine if two independent samples came from equal populations. C. requires that the two populations under consideration have equal variances. D. Both A and B Reset Selection Mark for Review What’s This? Question 11 of 20 5.0 Points A nonparametric test which can evaluate ordinal-scale data of a non-normal population is called the: A. Wilcoxon signed rank test. B. Kruskal-Wallis test. C. sign test. D. median test. Reset Selection Mark for Review What’s This? Question 12 of 20 5.0 Points A researcher wishes to test the differences between pairs of observations with a non-normal distribution. She should apply the: A. Wilcoxon signed rank test. B. Kruskal-Wallis test. C. Wilcoxon rank-sum test. D. t test. Reset Selection Mark for Review What’s This? Question 13 of 20 5.0 Points The data below indicate the rankings of a set of employees according to class theory and on-the-job practice evaluations: Theory 1 7 2 10 4 8 5 3 6 9 Practice 2 8 1 7 3 9 6 5 4 10 What is the Spearman correlation of coefficient for the data? A. -0.0606 B. 0.1454 C. 0.606 D. 0.8545 Reset Selection Mark for Review What’s This? Question 14 of 20 5.0 Points For the value of rs determined, a test of significance indicates that: A. t = -0.45, a weak negative relationship between the two variables. B. t = – 0.06, a strong negative relationship between the variables. C. t = 0.45, a weak positive relationship between the two variables. D. t = 4.65, a strong positive relationship between the variables. Reset Selection Mark for Review What’s This? Question 15 of 20 5.0 Points To determine whether four populations are equal, a sample from each population was selected at random and using the Kruskal-Wallis test, H was computed to be 2.09. What is our decision at the 0.05 level of risk? A. Fail to reject the null hypothesis because 0.05 < 2.09 B. Fail to reject the null hypothesis because 2.09 [removed] 2.09 D. Reject the null hypothesis because 2.09 > critical value of 1.96 Reset Selection Mark for Review What’s This? Question 16 of 20 5.0 Points A soap manufacturer is experimenting with several formulas of soap powder and three of the formulas were selected for further testing by a panel of homemakers. The ratings for the three formulas are as follows: A 35 36 44 42 37 40 B 43 44 42 32 39 41 C 46 47 40 36 45 49 What is the value of chi-square at the 5% level of significance? A. 6.009 B. 6 C. 5.991 D. 5 Reset Selection Mark for Review What’s This? Question 17 of 20 5.0 Points Which of the following values of Spearman’s coefficient of rank correlation indicates the strongest relationship between two variables? A. –0.91 B. –0.05 C. +0.64 D. +0.89 Reset Selection Mark for Review What’s This? Question 18 of 20 5.0 Points Suppose ranks are assigned to a set of data from low to high with $10 being ranked 1, $12 being ranked 2, and $21 being ranked 3. What ranks would be assigned to $26, $26 and $26? A. 4, 5, 6 B. 4, 4, 4 C. 5, 5, 5 D. 5.5, 5.5, 5.5 Reset Selection Mark for Review What’s This? Question 19 of 20 5.0 Points Two movie reviewers gave their ratings (0 to 4 stars) to ten movies released this past month as follows: Movie A B C D E F G H I J S’s Rating 4 2 3.5 1 0 3 2.5 4 2 0 T’s Rating 3 3 3 2.5 1.5 3.5 4 3 2 1 What is the rank order correlation? A. 48 B. 0.7091 C. 2.306 D. 2.844 Reset Selection Mark for Review What’s This? Question 20 of 20 5.0 Points What is a requirement that must be met before the Kruskal-Wallis one-way analysis of variance by ranks test can be applied? A. Populations must be normal or near normal B. Samples must be independent C. Population standard deviations must be equal D. Data must be at least interval level Question 1 of 20 5.0 Points The quality management points of Deming: A. emphasized that quality originates from improving the process, not from inspection. B. identified production quotas and merit systems as crucial to quality improvement. C. identify education and training for both workers and managers as crucial to process improvement. D. Both A and C Reset Selection Mark for Review What’s This? Question 2 of 20 5.0 Points An error in a training tape results in machine operators overadjusting a tooling machine on a regular basis. The resultant unacceptable output is an example of: A. chance variation. B. assignable variation. C. variable out of control. D. attribute out of control. Reset Selection Mark for Review What’s This? Question 3 of 20 5.0 Points A Pareto chart: A. employs the 80-20 rule to rank defects in the order that they should be addressed. B. tallies the number and type of defects that happen within a product or service. C. is a tool that helps to organize ideas and identify relationships. D. Both A and B Reset Selection Mark for Review What’s This? Question 4 of 20 5.0 Points A(n) __________ chart is based on actual measurements. A. Pareto B. cause-and-effect C. variable control D. attribute Reset Selection Mark for Review What’s This? Question 5 of 20 5.0 Points Answer questions 5 – 7 using the following information: Samples of size 5 are drawn from 10 separate production runs to measure data on a product average: Sample Run 1 2 3 4 5 1 59 74 53 48 65 2 42 51 70 47 67 3 52 42 53 87 85 4 35 70 62 44 79 5 34 59 39 78 61 6 66 80 54 68 52 7 74 43 45 65 49 8 75 53 68 50 31 9 48 65 70 41 52 10 43 38 10 19 47 This data will be mapped using a(n): A. attribute control chart. B. range chart C. mean chart. D. percent defective chart. Reset Selection Mark for Review What’s This? Question 6 of 20 5.0 Points The lower control limit for the chart is: A. 19.64. B. 34.66. C. 50.08. D. 54.56. Reset Selection Mark for Review What’s This? Question 7 of 20 5.0 Points A range chart for the data will have upper and lower limits of: A. 20.48; 0.00. B. 50.52; 20.48. C. 75.08; 0.00. D. 75.08; -20.04. Reset Selection Mark for Review What’s This? Question 8 of 20 5.0 Points The upper and lower control limits are usually set at: A. the mean. B. above the mean. C. ±3 standard deviations from the mean. D. ±2 standard deviations from the mean. Reset Selection Mark for Review What’s This? Question 9 of 20 5.0 Points Answer questions 9 – 10 using the following information: 20 samples of fifty pipe rivets each were drawn from a production line. The number of defective items per sample was: 1, 2, 5, 2, 0, 2, 1, 1, 0, 1, 0, 1, 1, 0, 5, 0, 0, 6, 3, 1 For this data set, p= A. 0.0128. B. 0.02. C. 0.031. D. 0.032. Reset Selection Mark for Review What’s This? Question 10 of 20 5.0 Points The upper and lower control limits, respectively, are: A. 0.1045 and -0.0425. B. 0.1045 and 0.00. C. 0.0735 and 0.02. D. 0.1067 and 0.00. Reset Selection Mark for Review What’s This? Question 11 of 20 5.0 Points A chart which illustrates weak areas in a construction process is termed a(n): A. mean chart. B. range chart C. percent defective chart. D. c-bar chart. Reset Selection Mark for Review What’s This? Question 12 of 20 5.0 Points If the item recorded is a fraction of unacceptable parts made in a batch of larger parts, the appropriate control chart is the: A. mean chart. B. range chart C. percent defective chart. D. c-bar chart. Reset Selection Mark for Review What’s This? Question 13 of 20 5.0 Points Acceptance sampling: A. is often employed because 100% inspection is rarely feasible. B. screens out lots of incoming products that are unacceptable. C. will accept an incoming lot if n > c. D. Both A and B Reset Selection Mark for Review What’s This? Question 14 of 20 5.0 Points An inspector determines that 0.05% of a lot of 400 items are defective. The actual number of defective items is 6. The critical number is 4. This is an example of: A. faulty sampling. B. a type II error. C. producer’s risk. D. consumer’s risk. Reset Selection Mark for Review What’s This? Question 15 of 20 5.0 Points The probability that a firm accepts a lot which is 20% defective using a sample size of 14 and an acceptance number of 3 is: A. 0.044. B. 0.956. C. 0.842. D. 0.698. Reset Selection Mark for Review What’s This? Question 16 of 20 5.0 Points What is the process by which a company can insure that a quality product or service is being produced? A. SPC B. Pareto C. Fishbone D. Diagnostic chart Reset Selection Mark for Review What’s This? Question 17 of 20 5.0 Points The technique that tallies numbers and types of defects is called: A. range charts. B. Pareto charts. C. control charts. D. fishbone diagram. Reset Selection Mark for Review What’s This? Question 18 of 20 5.0 Points The cause-and-effect chart is an example of: A. range charts. B. Pareto charts. C. control charts. D. fishbone diagrams. Reset Selection Mark for Review What’s This? Question 19 of 20 5.0 Points A sampling plan states that if 20 incoming transistors are checked and 2 or less defects are found that the lot is accepted. If an incoming lot is 10 percent defective, what is the probability of accepting the lot of transistors? A. 0 B. 1 C. 0.037 D. 0.667 Reset Selection Mark for Review What’s This? Question 20 of 20 5.0 Points Cappelli Inc. designs and manufactures women’s apparel using material from various mills. Their acceptance sampling plan states that 20 two-inch squares of the incoming material must be carefully checked. If 3 or less squares reveal imperfections, the lot is accepted. What is the probability that an incoming lot from Blufton Mills that contains 40 percent imperfect cloth will be accepted? A. 0 B. 0.239 C. 0.015 D. 0.0024 Question 1 of 20 5.0 Points A firm has sales in consecutive years as follows: Year Sales 1 $500,000 2 $400,000 3 $450,000 4 $600,000 5 $580,000 Using year 1 as a base year, which of the following statements is true? A. The index number for year #3 is 90. B. The index number for year #4 is 133.33. C. Year #2 sales are 80% of the base year level. D. Both A and C Reset Selection Mark for Review What’s This? Question 2 of 20 5.0 Points The index that measures price changes in domestic output for a number of industries is called: A. the consumer price index. B. the industrial production index. C. the producer price index. D. an economic index. Reset Selection Mark for Review What’s This? Question 3 of 20 5.0 Points Use the following information, and 2000 as a base year, to answer questions 3-5. Price Per Unit Quantity Item 2000 2001 2000 2001 A 1.00 1.10 2 4 B 5.50 6.00 2 3 An unweighted, unaggregated price index would give a value of: A. 91. B. 100. C. 109. D. 119. Reset Selection Mark for Review What’s This? Question 4 of 20 5.0 Points A Laspeyres price index would give a value of: A. 69.3. B. 101.4. C. 109.2. D. 169.3. Reset Selection Mark for Review What’s This? Question 5 of 20 5.0 Points A Paasche price index yields a value of: A. 89.2. B. 109.2. C. 119.6. D. 172.3. Reset Selection Mark for Review What’s This? Question 6 of 20 5.0 Points The Paasche index is a weighted aggregate price index that uses weights based on: A. base period quantities. B. the ratio of base period quantities to current period quantities. C. current period quantities. D. the ratio of base period prices to current period prices. Reset Selection Mark for Review What’s This? Question 7 of 20 5.0 Points Answer questions 7-11 based on the following information: The following data was gathered for domestic consumption (C, in millions of tons) and price per unit (P) of basic foodstuffs (base year is 2001): 2001 2002 2003 Type P C P C P C Wheat 2 10 3 11 5 14 Barley 3 7 2 10 3 12 Corn 1 12 1 13 2 14 The Laspeyres price index for 2002 is: A. 105.66. B. 124.53. C. 179.24. D. 253.83. Reset Selection Mark for Review What’s This? Question 8 of 20 5.0 Points The Laspeyres price index for 2003 is: A. 105.66. B. 120.00. C. 141.17. D. 179.24. Reset Selection Mark for Review What’s This? Question 9 of 20 5.0 Points The Paasche price index for 2002 is: A. 101.54. B. 116.07. C. 120.00. D. 124.53. Reset Selection Mark for Review What’s This? Question 10 of 20 5.0 Points The Paasche price index for 2003 is: A. 141.05. B. 171.79. C. 179.24. D. 252.83. Reset Selection Mark for Review What’s This? Question 11 of 20 5.0 Points A value index for the information would be: A. 147.17. B. 174.26. C. 179.4. D. 252.83. Reset Selection Mark for Review What’s This? Question 12 of 20 5.0 Points The consumer price index: A. may be used to determine real disposable personal income levels. B. is an indicator of the rate of inflation in the economy. C. illustrates the extent to which purchasing power has been eroded since the base year. D. All of the above Reset Selection Mark for Review What’s This? Question 13 of 20 5.0 Points GNP in country X for 2002 is $800 billion. If the consumer price index is currently 125, real GNP, in billions, for 2002 was: A. $675. B. $640. C. $925. D. $1,000. Reset Selection Mark for Review What’s This? Question 14 of 20 5.0 Points The GNP in country Y in 2002 was $340 billion; if real GNP was 425, the price deflator for 2002 is: A. 42.5. B. 80. C. 100. D. 125. Reset Selection Mark for Review What’s This? Question 15 of 20 5.0 Points If the average hourly earnings in mining in 1978 was $7.67 and for the most recent month was $14.90, what is the index of hourly earnings for the most recent month based on 1978? A. 100.0 B. 186.9 C. 151.5 D. 194.3 Reset Selection Mark for Review What’s This? Question 16 of 20 5.0 Points The Bureau of the Census reported that the farm population dropped from 30.5 million in 1940 to 6.5 million in 1999. What is the index for 1999 based on 1940? A. 469.7 B. 100.0 C. 21.3 D. 78.7 Reset Selection Mark for Review What’s This? Question 17 of 20 5.0 Points The number of items produced and the price per item for the Duffy Manufacturing Company are: Price Production 1990 2000 1990 2000 Shear pins (box) $3 $4 10,000 9,000 Cutting compound (lb.) $1 $5 600 200 Tie rods (each) $10 $8 3,000 5,000 What is the value index of production for 2000 using 1990 as the base period? A. 115.2 B. 72.9 C. 110.6 D. 127.1 Reset Selection Mark for Review What’s This? Question 18 of 20 5.0 Points An index number is a percent that measures the change from one period of time to another in terms of: A. value B. price C. quantity D. all of the above Reset Selection Mark for Review What’s This? Question 19 of 20 5.0 Points Which index is computed using base year prices and quantities and current year prices and quantities together? A. Laspeyers B. Paasche C. Value D. Consumer Price Reset Selection Mark for Review What’s This? Question 20 of 20 5.0 Points The Consumer Price Index in June 1998 was 248.4 (1982-84 = 100). What does this indicate about prices from 1982-84 to June 1998? A. Rose 248.4% B. Rose 548.4% C. Rose 148.4% D. Declined 148.4% ASSIGNMENT 01 MA270 Statistical Analysis II Directions: Sources must be cited in APA format. Your response should be a minimum of (1) single-spaced page to a maximum of (2) pages in length; refer to the “Assignment Format” page for specific format requirements. 1. Briefly advise each of the following two (2) people on specific research studies that he or she might find useful. For each person, propose a reporting, descriptive, explanatory, and predictive study. a. Manager of a full-service restaurant with high employee turnover (the management decision problem is known) b. Director of Big Brothers/Big Sisters in charge of sponsor recruiting (the management decision problem has not yet been specified) 2. Distinguish between the items in the following sets and describe the significance of each in a research context: a. Concept and construct b. Deduction and induction c. Concept and variable d. Hypothesis and proposition e. Theory and model ASSIGNMENT 08 MA270 Statistical Analysis II Directions: Sources must be cited in APA format. Your response should be a minimum of (1) single-spaced page to a maximum of (2) pages in length; refer to the “Assignment Format” page for specific format requirements. 1. The quarterly production of pine lumber, in millions of board feet, by Northwest Lumber since 1996 is shown in the following table: Quarter Year Winter Spring Summer Fall 1996 7.8 10.2 14.7 9.3 1997 6.9 11.6 17.5 9.3 1998 8.9 9.7 15.3 10.1 1999 10.7 12.4 16.8 10.7 2000 9.2 13.6 17.1 10.3 a. Determine the typical seasonal pattern for the production data using the ratio-to-moving average method. b. Interpret the pattern. c. Deseasonalize the data and determine the linear trend equation. d. Project the seasonally adjusted production for the four quarters of 2001. 2. Sales of roof material, by quarter, since 1994 for Carolina Home Construction, Inc. are shown below (in $000): Quarter Year I II III IV 1994 210 180 60 246 1995 214 216 82 230 1996 246 228 91 280 1997 258 250 113 298 1998 279 267 116 304 1999 302 290 114 310 2000 321 291 120 320 a. Determine the typical seasonal patterns for sales using the ratio-to-moving average method. b. Deseasonalize the data and determine the trend equation. c. Project the sales for 2001, and then seasonally adjust each quarter. 3. The following is the number of retirees receiving benefits from the State Teachers Retirement System of Ohio from 1991 until 2000: Year Service Year Service Year Service 1991 58,436 1995 67,989 1999 78,341 1992 59,994 1996 70,448 2000 81,111 1993 61,515 1997 72,601 1994 63,182 1998 75,482 a. Determine the least squares trend equation. Use a linear equation. b. Estimate the number of retirees that will be receiving benefits in 2003. Does this seem like a reasonable estimate based on the historical data? c. By how much has the number of retirees increased or decreased (per year) on average during the period?

 

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