Exam 11: Analysis of Variance

The Analysis of Means (ANOM) is more appropriate if you want to identify the group(s) that has(have) a higher or lower mean than the overall mean while the One-Way Analysis of Variance (One-way ANOVA) is more appropriate when you just want to see if the means of all the different groups are the same.

SCENARIO 11-10-A You are the quality control manager of a water bottles company. One of the biggest complaints in the past years has been the breakage and, hence, the concern on the durability of the connector between the lid and the bottle which many users use as a handle for the bottles. You have started looking for alternative replacement for the existing connector design. Three different vendors have proposed different designs and provided data they have collected on their designs that have been subjected to a durability test. The data on the number of times the connectors designed by them have been used to lift the bottles before they break from random samples of 30 bottles are shown below and also contained in the file Scenario11-10-DataA.XLSX. Vendor A 1498 1667 1530 1458 1315 1458 1411 1348 1583 1565 1495 1533 1473 1654 1499 1349 1486 1739 1820 1543 1440 1652 1610 1660 1563 1507 1450 1501 1515 1501 Vendor B 2027 2007 1977 1787 2046 1945 1898 2130 2096 1876 2014 1815 1982 2004 1918 1904 2061 1986 1952 2061 2038 2227 2030 2079 1884 2045 2009 1970 1946 2011 Vendor C 2784 3151 3126 2875 2881 3000 2872 3097 3020 3077 3082 2931 2922 2877 2905 3079 2916 2917 3110 3121 3084 3065 2974 2900 2860 2989 2978 2881 3095 2893 Assume that and the number of times the connectors have been used to lift the bottles before they break follows a normal distribution. You want to test to see if there is enough evidence of a difference in mean number of times the connectors have been used to lift the bottles before they break across the three vendors. -Referring to Scenario 11-10-A, what should be the decision for the Levene's test for homogeneity of variances at a 5% level of significance?

SCENARIO 11-8 A physician and president of a Tampa Health Maintenance Organization (HMO) are attempting to show the benefits of managed health care to an insurance company. The physician believes that certain types of doctors are more cost-effective than others. One theory is that Primary Specialty is an important factor in measuring the cost-effectiveness of physicians. To investigate this, the president obtained independent random samples of 20 HMO physicians from each of 4 primary specialties - General Practice (GP), Internal Medicine (IM), Pediatrics (PED), and Family Physicians (FP) - and recorded the total charges per member per month for each. A second factor which the president believes influences total charges per member per month is whether the doctor is a foreign or USA medical school graduate. The president theorizes that foreign graduates will have higher mean charges than USA graduates. To investigate this, the president also collected data on 20 foreign medical school graduates in each of the 4 primary specialty types described above. So information on charges for 40 doctors (20 foreign and 20 USA medical school graduates) was obtained for each of the 4 specialties. The results for the ANOVA are summarized in the following table. Source df SS MS F PR > F Specialty 3 22,855 7,618 60.94 0.0001 Med school 1 105 105 0.84 0.6744 Interaction 3 890 297 2.38 0.1348 Error 152 18,950 Total 159 42,800 -Referring to Scenario 11-8, what degrees of freedom should be used to determine the critical value of the F ratio against which to test for differences in the mean charges for doctors among The four primary specialty areas? a) numerator $d f = 1$ , denominator $d f = 159$ b) numerator $d f = 3$ , denominator $d f = 159$ c) numerator $d f = 1$ , denominator $d f = 152$ d) numerator $d f = 3$ , denominator $d f = 152$

SCENARIO 11-8 A physician and president of a Tampa Health Maintenance Organization (HMO) are attempting to show the benefits of managed health care to an insurance company. The physician believes that certain types of doctors are more cost-effective than others. One theory is that Primary Specialty is an important factor in measuring the cost-effectiveness of physicians. To investigate this, the president obtained independent random samples of 20 HMO physicians from each of 4 primary specialties - General Practice (GP), Internal Medicine (IM), Pediatrics (PED), and Family Physicians (FP) - and recorded the total charges per member per month for each. A second factor which the president believes influences total charges per member per month is whether the doctor is a foreign or USA medical school graduate. The president theorizes that foreign graduates will have higher mean charges than USA graduates. To investigate this, the president also collected data on 20 foreign medical school graduates in each of the 4 primary specialty types described above. So information on charges for 40 doctors (20 foreign and 20 USA medical school graduates) was obtained for each of the 4 specialties. The results for the ANOVA are summarized in the following table. Source df SS MS F PR > F Specialty 3 22,855 7,618 60.94 0.0001 Med school 1 105 105 0.84 0.6744 Interaction 3 890 297 2.38 0.1348 Error 152 18,950 Total 159 42,800 -Referring to Scenario 11-8, what assumption(s) need(s) to be made in order to conduct the test for differences between the mean charges of foreign and USA medical school graduates?

SCENARIO 11-9 The marketing manager of a company producing a new cereal aimed for children wants to examine the effect of the color and shape of the box's logo on the approval rating of the cereal. He combined 4 colors and 3 shapes to produce a total of 12 designs. Each logo was presented to 2 different groups (a total of 24 groups) and the approval rating for each was recorded and is shown below. The manager analyzed these data using the α = 0.05 level of significance for all inferences. $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$$\text {COLORS}$ SHAPES Red Green Blue Yellow Circle 54 67 36 45 44 61 44 41 Square 34 56 36 21 36 58 30 25 Diamond 46 60 34 31 48 60 38 33 $\text {Analysis of Variance}$ Source df SS MS F p Colors 3 2711.17 903.72 72.30 0.000 Shapes 2 579.00 289.50 23.16 0.000 Interaction 6 150.33 25.06 2.00 0.144 Error 12 150.00 12.50 Total 23 3590.50 -Referring to Scenario 11-9, the mean square for error is ________.

In a two-factor ANOVA analysis, the sum of squares due to both factors, the interaction sum of squares and the within sum of squares must add up to the total sum of squares.

SCENARIO 11-5 A hotel chain has identically small sized resorts in 5 locations in different small islands. The data that follow resulted from analyzing the hotel occupancies on randomly selected days in the 5 locations. 1 28 40 21 37 2 2 33 35 21 47 19 3 41 33 27 45 25 Analysis of Variance Source df SS MS F p Location 4 963.6 11.47 0.001 Error 10 210.0 Total -Referring to Scenario 11-5, what are the numerator and denominator degrees of freedom for Levene's test for homogeneity of variances respectively?

SCENARIO 11-4 An agronomist wants to compare the crop yield of 3 varieties of chickpea seeds. She plants 15 fields, 5 with each variety. She then measures the crop yield in bushels per acre. Treating this as a completely randomized design, the results are presented in the table that follows. 1 11.1 19.0 14.6 2 13.5 18.0 15.7 3 15.3 19.8 16.8 4 14.6 19.6 16.7 5 9.8 16.6 15.2 -Referring to Scenario 11-4, the agronomist decided to perform an ANOVA F test. The amount of total variation or SST is __________.

SCENARIO 11-10-B You are the quality control manager of a water bottles company. One of the biggest complaints in the past years has been the breakage and, hence, the concern on the durability of the connector between the lid and the bottle which many users use as a handle for the bottles. You have started looking for alternative replacement for the existing connector design. Three different vendors have proposed different designs and provided data they have collected on their designs that have been subjected to a durability test. The data on the number of times the connectors designed by them have been used to lift the bottles before they break from random samples of 30 bottles are shown below and also contained in the file Scenario11-10-DataB.XLSX. Vendor A 1460 1519 1364 1521 1628 1265 1552 1496 1411 1614 1508 1587 1484 1554 1459 1529 1515 1446 1517 1511 1563 1548 1536 1478 1665 1656 1544 1361 1573 1429 Vendor B 2941 2975 3231 2890 3001 2930 2924 2916 3048 3066 3012 3108 2982 3126 3105 2879 2944 3066 2984 3057 3217 3058 2987 2977 3178 3252 3024 3156 3029 3103 Vendor C 2020 1928 2135 1777 2005 2061 2029 1860 1967 2099 2031 2188 2137 1945 1952 1905 2031 1853 1974 2071 1966 2084 1998 2179 1988 2002 2178 1995 2076 1873 Assume that and the number of times the connectors have been used to lift the bottles before they break follows a normal distribution. You want to test to see if there is enough evidence of a difference in mean number of times the connectors have been used to lift the bottles before they break across the three vendors. -Referring to Scenario 11-10-B, the among-group variation or SSA is _________ for the test to determine whether there is enough evidence of a difference in mean number of times the connectors have been used to lift the bottles before they break across the three vendors.

SCENARIO 11-7 A campus researcher wanted to investigate the factors that affect visitor travel time in a complex, multilevel building on campus. Specifically, he wanted to determine whether different building signs (building maps versus wall signage) affect the total amount of time visitors require to reach their destination and whether that time depends on whether the starting location is inside or outside the building. Three subjects were assigned to each of the combinations of signs and starting locations, and travel time in seconds from beginning to destination was recorded. An Excel output of the appropriate analysis is given below: $\text { ANOVA }$ Source of Variation SS df MS F P -value F crit Signs 14008.33 14008.33 0.11267 5.317645 Starting Location 12288 2.784395 0.13374 5.317645 Interaction 48 48 0.919506 5.317645 Within 35305.33 4413.167 Total 61649.67 11 -Referring to Scenario 11-7, the F test statistic for testing the interaction effect between the types of signs and the starting location is

SCENARIO 11-9 The marketing manager of a company producing a new cereal aimed for children wants to examine the effect of the color and shape of the box's logo on the approval rating of the cereal. He combined 4 colors and 3 shapes to produce a total of 12 designs. Each logo was presented to 2 different groups (a total of 24 groups) and the approval rating for each was recorded and is shown below. The manager analyzed these data using the α = 0.05 level of significance for all inferences. $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$$\text {COLORS}$ SHAPES Red Green Blue Yellow Circle 54 67 36 45 44 61 44 41 Square 34 56 36 21 36 58 30 25 Diamond 46 60 34 31 48 60 38 33 $\text {Analysis of Variance}$ Source df SS MS F p Colors 3 2711.17 903.72 72.30 0.000 Shapes 2 579.00 289.50 23.16 0.000 Interaction 6 150.33 25.06 2.00 0.144 Error 12 150.00 12.50 Total 23 3590.50 -Referring to Scenario 11-9, the critical value in the test for a significant interaction is ________.

SCENARIO 11-10-B You are the quality control manager of a water bottles company. One of the biggest complaints in the past years has been the breakage and, hence, the concern on the durability of the connector between the lid and the bottle which many users use as a handle for the bottles. You have started looking for alternative replacement for the existing connector design. Three different vendors have proposed different designs and provided data they have collected on their designs that have been subjected to a durability test. The data on the number of times the connectors designed by them have been used to lift the bottles before they break from random samples of 30 bottles are shown below and also contained in the file Scenario11-10-DataB.XLSX. Vendor A 1460 1519 1364 1521 1628 1265 1552 1496 1411 1614 1508 1587 1484 1554 1459 1529 1515 1446 1517 1511 1563 1548 1536 1478 1665 1656 1544 1361 1573 1429 Vendor B 2941 2975 3231 2890 3001 2930 2924 2916 3048 3066 3012 3108 2982 3126 3105 2879 2944 3066 2984 3057 3217 3058 2987 2977 3178 3252 3024 3156 3029 3103 Vendor C 2020 1928 2135 1777 2005 2061 2029 1860 1967 2099 2031 2188 2137 1945 1952 1905 2031 1853 1974 2071 1966 2084 1998 2179 1988 2002 2178 1995 2076 1873 Assume that and the number of times the connectors have been used to lift the bottles before they break follows a normal distribution. You want to test to see if there is enough evidence of a difference in mean number of times the connectors have been used to lift the bottles before they break across the three vendors. -Referring to Scenario 11-10-B, what is the critical value of Levene's test for homogeneity of variances at a 5% level of significance?

SCENARIO 11-10-B You are the quality control manager of a water bottles company. One of the biggest complaints in the past years has been the breakage and, hence, the concern on the durability of the connector between the lid and the bottle which many users use as a handle for the bottles. You have started looking for alternative replacement for the existing connector design. Three different vendors have proposed different designs and provided data they have collected on their designs that have been subjected to a durability test. The data on the number of times the connectors designed by them have been used to lift the bottles before they break from random samples of 30 bottles are shown below and also contained in the file Scenario11-10-DataB.XLSX. Vendor A 1460 1519 1364 1521 1628 1265 1552 1496 1411 1614 1508 1587 1484 1554 1459 1529 1515 1446 1517 1511 1563 1548 1536 1478 1665 1656 1544 1361 1573 1429 Vendor B 2941 2975 3231 2890 3001 2930 2924 2916 3048 3066 3012 3108 2982 3126 3105 2879 2944 3066 2984 3057 3217 3058 2987 2977 3178 3252 3024 3156 3029 3103 Vendor C 2020 1928 2135 1777 2005 2061 2029 1860 1967 2099 2031 2188 2137 1945 1952 1905 2031 1853 1974 2071 1966 2084 1998 2179 1988 2002 2178 1995 2076 1873 Assume that and the number of times the connectors have been used to lift the bottles before they break follows a normal distribution. You want to test to see if there is enough evidence of a difference in mean number of times the connectors have been used to lift the bottles before they break across the three vendors. -Referring to Scenario 11-10-B, the value of MSA is ______ while MSW is _______ for the test to determine whether there is enough evidence of a difference in mean number of times the connectors have been used to lift the bottles before they break across the three vendors.

SCENARIO 11-5 A hotel chain has identically small sized resorts in 5 locations in different small islands. The data that follow resulted from analyzing the hotel occupancies on randomly selected days in the 5 locations. 1 28 40 21 37 2 2 33 35 21 47 19 3 41 33 27 45 25 Analysis of Variance Source df SS MS F p Location 4 963.6 11.47 0.001 Error 10 210.0 Total -Referring to Scenario 11-5, the total variation or SST is ________.

SCENARIO 11-5 A hotel chain has identically small sized resorts in 5 locations in different small islands. The data that follow resulted from analyzing the hotel occupancies on randomly selected days in the 5 locations. 1 28 40 21 37 2 2 33 35 21 47 19 3 41 33 27 45 25 Analysis of Variance Source df SS MS F p Location 4 963.6 11.47 0.001 Error 10 210.0 Total -Referring to Scenario 11-5, if a level of significance of 0.05 is chosen, the decision made indicates that at least 2 of the 5 locations have different mean occupancy rates.

SCENARIO 11-9 The marketing manager of a company producing a new cereal aimed for children wants to examine the effect of the color and shape of the box's logo on the approval rating of the cereal. He combined 4 colors and 3 shapes to produce a total of 12 designs. Each logo was presented to 2 different groups (a total of 24 groups) and the approval rating for each was recorded and is shown below. The manager analyzed these data using the α = 0.05 level of significance for all inferences. $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$ $\quad$$\text {COLORS}$ SHAPES Red Green Blue Yellow Circle 54 67 36 45 44 61 44 41 Square 34 56 36 21 36 58 30 25 Diamond 46 60 34 31 48 60 38 33 $\text {Analysis of Variance}$ Source df SS MS F p Colors 3 2711.17 903.72 72.30 0.000 Shapes 2 579.00 289.50 23.16 0.000 Interaction 6 150.33 25.06 2.00 0.144 Error 12 150.00 12.50 Total 23 3590.50 -Referring to Scenario 11-9, based on the results of the hypothesis test, it appears that there is a significant effect associated with the shape of the logo.

SCENARIO 11-3 As part of an evaluation program, a sporting goods retailer wanted to compare the downhill coasting speeds of 4 brands of bicycles. She took 3 of each brand and determined their maximum downhill speeds. The results are presented in miles per hour in the table below. 1 43 37 41 43 2 46 38 45 45 3 43 39 42 46 -Referring to Scenario 11-3, the null hypothesis that the mean downhill coasting speeds of the 4 brands of bicycles are equal will be rejected at a level of significance of 0.05 if the value of the test statistic is greater than __________.

SCENARIO 11-6 Psychologists have found that people are generally reluctant to transmit bad news to their peers. This phenomenon has been termed the "MUM effect." To investigate the cause of the MUM effect, 40 undergraduates at Duke University participated in an experiment. Each subject was asked to administer an IQ test to another student and then provide the test taker with his or her percentile score. Unknown to the subject, the test taker was a bogus student who was working with the researchers. The experimenters manipulated two factors: subject visibility and success of test taker, each at two levels. Subject visibility was either visible or not visible to the test taker. Success of the test taker was either top 20% or bottom 20%. Ten subjects were randomly assigned to each of the 2 x 2 = 4 experimental conditions, then the time (in seconds) between the end of the test and the delivery of the percentile score from the subject to the test taker was measured. (This variable is called the latency to feedback.) The data were subjected to appropriate analyses with the following results. Source df SS MS F PR > F Subject visibility 1 1380.24 1380.24 4.26 0.043 Test taker success 1 1325.16 1325.16 4.09 0.050 Interaction 1 3385.80 3385.80 10.45 0.002 Error 36 11,664.00 324.00 Total 39 17,755.20 -Referring to Scenario 11-6, what type of experimental design was employed in this study?

SCENARIO 11-6 Psychologists have found that people are generally reluctant to transmit bad news to their peers. This phenomenon has been termed the "MUM effect." To investigate the cause of the MUM effect, 40 undergraduates at Duke University participated in an experiment. Each subject was asked to administer an IQ test to another student and then provide the test taker with his or her percentile score. Unknown to the subject, the test taker was a bogus student who was working with the researchers. The experimenters manipulated two factors: subject visibility and success of test taker, each at two levels. Subject visibility was either visible or not visible to the test taker. Success of the test taker was either top 20% or bottom 20%. Ten subjects were randomly assigned to each of the 2 x 2 = 4 experimental conditions, then the time (in seconds) between the end of the test and the delivery of the percentile score from the subject to the test taker was measured. (This variable is called the latency to feedback.) The data were subjected to appropriate analyses with the following results. Source df SS MS F PR > F Subject visibility 1 1380.24 1380.24 4.26 0.043 Test taker success 1 1325.16 1325.16 4.09 0.050 Interaction 1 3385.80 3385.80 10.45 0.002 Error 36 11,664.00 324.00 Total 39 17,755.20 -Referring to Scenario 11-6, at the 0.01 level, what conclusions can you reach from the analysis?

SCENARIO 11-5 A hotel chain has identically small sized resorts in 5 locations in different small islands. The data that follow resulted from analyzing the hotel occupancies on randomly selected days in the 5 locations. 1 28 40 21 37 2 2 33 35 21 47 19 3 41 33 27 45 25 Analysis of Variance Source df SS MS F p Location 4 963.6 11.47 0.001 Error 10 210.0 Total -Referring to Scenario 11-5, what should be the decision for the Levene's test for homogeneity of variances at a 5% level of significance?