JMP File Edit Tables Row Wed Jun 23 right a. toote Class 199 Antor 200 Freshman 201 Sophomore 202 Junior 203 Sophomore 204 Freshman 205 Sophomore 200 Frothman 207 Freshman 208 Freshman 209 Sophomor 210 Freshman 211 Freshman 212 Sophomore 213. Freshman 214 Freshman 215 Freshman 216 Freshman 217 Sophomore 218 Sophomore 219 Freshman 220 Freshman 221 Freshman 222 Junior 223 Freshman 224 Sophomore 225 Sophomore 226 Freshman 227 Sophomom 228 Junior 229 Sophomore 230 Freshman 231 Freshman Pronouns shaher he/his she/her hohis she/her shahar she/her sha/her she/her she/her shahar they/their shaher shohor shahar sha/her sheher hahi he his shahar she/her she/her she/her she/her they/their hathis she/her shoher sha/her he/his sheher she/her she/her Cols DOE Analye Graphy Tools View Window Help Survey Spring 2021 raw(1).jmp Are registered to HW VT Green behavior Height vote? Algolans 3 1 I do about 1/4 ... 05 Yos No opinion 1.5 21 do about hall... 68 Yos No opinion 2 54 You No opinion 2 1 1 do about 1/4 .. 68 Yos Yos 2 2 1 do about half. Yos No opinion 7.5 2 I do about hall... 62 Yes No opinion 5 1 1 do about 1/40 63 Yon No opinion 25 21 do about half 81 Yes No opinion 2 2 I do about hall... 5 You No opinion 0 0 I almost nevert 68 Yes No opinion 3 11 do about 1/4 61 You No opinion 2 31 do about 3/4 .. 62 Yes No opinion 2 1 1 do about 1/4 ... 64 Yes No opinion 3.31 do about 3/4 0. 68 Yon No 3 31 do about 3/4 ... 65 No Yes 8.5 11 do about 1/4 ... 68 No No opinion 2 21 do about half... 68 Yes No opinion 7 21 do about half 74 Yes No opinion 4 21 do about half 70 Yos No opinion 4.5. 1 I do about 1/4 ... 64 No No opinion 3 11 do about 1/40 You No 2 2 I do about half. 83 Yes No opinion 2 31 do about 3/4 0. 70 Yon No opinion 2 2 I do about half 84 Yes No opinion Yos 1.5 11 do about 1/40... 64 Yes 3.5 2 I do about half... 75 Yes No opinion 5 3 1 do about 3/4 ... 70 Yos No opinion 2 1 1 do about 1/4 ... 67 Yes 6 2 I do about half 61 No No opinion 5 2 1 do about half... 74 You No 5 21 do about hall... 63 Yes No opinion 3 41 am very aware... 65 Yos No opinion 68 Yes No opinion 4 41 am very aware... Govt Spending Water of Recycle Dream toolit Almost always None Not sure too much Almost always No more than 14 Yan about the right a... Almost always None Not sur too Never None Yen toote Almost always Around 1/2 Yes about the right Almost always No more than 1/4 Not sur Almost always No more than 1/4 Yes too inte Almost always No more than 1/4 Not un about the right Amost always No more than 1/4 Not sure too much Never None Not sure about the right. Almost always None Yes too little Occasionally Approximately. Not sure about the right a... Almost always None Yes about the night... Almost always Around 12 Yes toolit Almost always No more than 1/6 Yos too little Almost always Around 1/2 Yes too little Half the time None Yos about the night ... Occasionally Approximately. Not sure too little Half the time Around 1/2 Yos about the night... Never No more than 1/4 Not sure too much Almost ways Around 1/2 You about the right a... Almost always Approximately Not sur to inte Almost always Approximately. You about the right a... Never None Yea too little Almost always No more than 1/4 Not sur too little Half the time No more than 1/4 Yes too little Never Around 1/2 too little Almost always Nono Not sur too little Occasionally Around 1/2 Yos too much Occasionally Almost all Yes too little Occasionally Approximately... Yes too little Almost always Yes Around 1/2 too little Almost always Approximately Yes Yes : 23 JMP File Edit Tables Rows Cors DOE Analyze Graph Wed Jun 29 B07 PM Tools View Window Hoto Survey Spring 2021 row(1).jmp speed Blood type Hair cut price 40 20 10 Step time 7 Book Coat 450 350 345 a 700 220 024 500 400 500 3.5 4. 10 7 0 80 148 85 111 75 BO 35 110 B4 120 BS 35 BO 130 112 ga 207 400 How far is it in kilometers from 4633 770 500 1200 20000 3900 5 3930 200 700 7495 1 80 5000 4480 164 2250 2000 500 1200 4480 Random Number 199 7 200 5 201 4 202 2 200 7 204 2 205 B 208 4 8 200 209 5 210 10 211 3 212 7 213 4 314 2 215 8 216 8 217 9 218 7 219 7 220 7 221 9 222 223 7 224 5 225 3 226 6 227 228 6 229 7 230 8 231 7 6.5 10 11 17 2 244 400 400 54 205 480 500 30 100 150 55 17 20 40 120 60 0 200 85 7 30 0 145 55 220 5 22 155 15 120 20 300 20 200 5 9 0 4 10 Productive Tine Allmoon Evening Arnoon Evening Afternoon Aeroon Afternoon Moming Morning Aternoon Evening Afternoon Arnoon Evening Evening Evening Evening Afternoon Evening Morning Alternoon Morning Morning Moming Evening Morning Moming Attomoon Evening Evening Afternoon Alternoon Afternoon predict test Not Attend Class 33 TRUE 30 FALSE 92 TRUE 70 FALSE B3 TRUE 80 TRUE 85 TRUE 85 TRUE 90 TRUE 85 TRUE 80 TRUE 85 TRUE - THU 03 TRUE 68 TRUE B5 TRUE 33 TRUE BO FALSE 85 TRUE 60 TRUE 95 TRUE 95 TRUE 30 TRUE 87 FALSE 92 FALSE 88 TRUE 80 TRUE 80 TRUE 30. TRUE 80 TRUE 90 TRUE BO TRUE 95 TRUE Name import Sometime Extremely Extremely impo Not mportant Extremely impo Extremely impo Important but Extremely impo Somewhatid Important but important but Somewhat mod Somewhat mod Important buto Not very impon Somewhat impo Somewhat mod Somewhat Impe Somewhatimpa Important but Extremely impo Somewhat impe Somewhatimpa Not very import Important but Somesta imod Somewhat mo Somewatimp Extremely impo Extremely impo Extremely impo Not very impor Somewhatim 300 . 600 150 250 400 500 350 150.5 419.32 350 250 346 000 500 120 95 115 95 90 10 . 110 75 110 90 80 100 100 70 90 85 10 6 10 6 8 5 58970 300 3937 1200 4400 4690 15000 4490 7482 1200 4489 4489 5 8 6 0 7 C G 23 How far is it in krometers from Blood type predict 159 Sleep time 7 8 Brou 10 2 200 201 200 003 204 205 200 207 206 200 210 211 212 213 214 215 210 212 218 210 220 221 222 223 770 500 1300 20000 3000 3030 200 700 7495 1 so 5000 440 164 2250 2000 500 1200 4480 7 66 71 11 7 3 7 3 5 Productive Time Aternoon Benin Aron Evening Aron Atmoon Amon Morning Morning Attemson wanting Aternoon Arnoon Evening Evening Evening Evening Arnoon Evening Morning Aeternoon Morning Morning Morning Evening Morning Moming Aternoon Evening Evening Aternoon Afternoon Afternoon Mat Alland Class THUE 90 FALE 9 THE 70 FALLE THE NOTE 35 UE 35 TRUE TRUE 35 TRUE 10 TRUE 16 TRUE 30 TRUE | | | 68 TRUE ASTROL 30 TRUE 80 FALSE 85 TRUE THI | 95 TRUE 95 TRUE 80 TRUE 87 FALSE 92 FALSE 88 TRUE 80 TRUE 80 TRUE 90 TRUE 80 TRUE 30 TRUE BO TRUE 95 TRUE Mame mportance actor Form Diode mimpin DO Ey important Bato Don't meyve our DT No important B Dort amely portar Bartour Dory Extremely impa Dato Don't rut bunyi Guit 0 Ermelo Barbou A Burewtime Darbo Dont row Important but only import but only Barbour DOV Bowiat portant Young 3 Don't Domewhat tarbour Don't voortant but only Brou Contano Not very important antti 3 Conto Somnat important Young Don't know Somewhat morta Barbour boot Somewhat important Barbour DOWS Somewhat important Orrin 5 important but only in O B Don't know Extremely important Crime B Bomwa mota Your Somewhat import Barbour B D Not very moon Young important but only in Barbour Don't know Somewhat important Gin 11 Don't know Somewhat import Young B Somewhat important Barbour Don't know Extremely important Bour Don't know Lubecke Extremely important B o Extremely important Young B Barbour Don't know Not very important B Barbour Somewhat important Don't know O 4 10 . 10 88970 300 3937 1200 4400 10 6 8 5 9 4690 225 226 227 228 220 230 231 15000 4490 7482 1200 4489 4489 5 8 6 0 7 10. Question: Describe the distribution of BLOOD TYPE. Shape: Center: Spread: 11. Question: Describe the distribution of CLASS. Shape: Center: Spread: I 12. Question: Describe the distribution of ARE REGISTERED TO VOTE? Shape: Center: Spread: 13. Question: Describe the distribution of HWK TIME. Shape: Center: Spread: 14. Question: Describe the distribution of SPEED. Shape: Center: Spread: 15. Question: Describe the distribution of PREDICT TEST. Shape: Center: Spread: 16. Question: Look at the graph for CLASS. Put the cursor in the bar for the sophomores and click The bar for the sophomores should be highlighted AND so should parts of all the other graphs. The highlighting shows where the SOPHOMORES are. Click on one of the bars in the HEIGHT graph, and you will see the distribution of that height highlighted in the other graphs. Try this for some of the other variables. List at least 2 interesting relationships between variables in the data. 17. When trying to describe the distribution of numerical continuous variables, there are a few things you can do to that may make a graph more revealing To RESIZE a graph, put the cursor near the lower right-hand corner of the graph. When you have it in just the right place, a small diagonal line will appear. Drag it out and down while holding the left mouse button down to increase the size of the graph window. Adjust the size of the graphs until they are easy to read. 18. TO CHANGE the NUMBER OF INTERVALS in a histogram, "grab" the HAND TOOL by clicking on the button that looks like a hand. It is just under the word View in the menu bar. Put the hand inside the graph window. Click and HOLD the mouse button down and slide the hand up to increase the number of intervals and down to decrease the number of intervals. Play with the graphs until you have the most meaningful" picture of the data. I 19. Question: Where on the graph (higher or lower values) do you think you would find the homework times of the freshman? Why? 20. Question: Let's check your guess. Highlight the freshman bar in the CLASS graph by clicking on it. Was your guess about where the freshman's homework times should be accurate? 21. Question: Go to the histogram for HEIGHT. What seems wrong with this graph? 22. Sometimes when we see an outlier, we can investigate it. There are several observations that are quite small. It is unreasonable that someone would be 5 inches tall. In this case, we can exclude these observations to see what the data looks like without them. Go back to the data table. These observations are found in rows 4, 44, 101, and 114. Right click on the 4. Select Exclude/Unexclude. Do this for the others. Then redo the analysis by selecting analyze, distribution, and putting Height in the Y box. 23. Question: Now, look at the distribution of HEIGHT. How did it change from question 21? 24. Question: Go back and include these datapoints again by selecting Exclude/Unsxcluds for each one. There are other variables that have similar problems as Height. What is one of them? What values can't be (or are unlikely to be) true? 25. Go to the Analyze menu and click on Fit Y by X. Select HWK TIME as the Y variable and put CLASS in the box for the X variable. Click OK. Resize the graph to make it clearer if needed. In the DISPLAY OPTIONS menu for the graph, de-select "X-axis proportional" by clicking on it. The check mark beside it should disappear. Click on the Jitter option in the DISPLAY pop-up menu. "Jittering" the points allows you to see where data points have overlapped each other. 26. Question: We can also use JMP to make side-by-side boxplots for comparison of groups. Click the red triangle and select "Display Options." Choose Boxplot . Although we haven't discussed boxplots yet, we have seen them and will get to them in Chapter 3. Based on what you know, describe any similarities and/or differences between the center, spread, and any outiers (unusual observations) for the different classes, 27. Explore this data set on your own for a while. If you discover something interesting, list it here. I JMP File Edit Tables Row Wed Jun 23 right a. toote Class 199 Antor 200 Freshman 201 Sophomore 202 Junior 203 Sophomore 204 Freshman 205 Sophomore 200 Frothman 207 Freshman 208 Freshman 209 Sophomor 210 Freshman 211 Freshman 212 Sophomore 213. Freshman 214 Freshman 215 Freshman 216 Freshman 217 Sophomore 218 Sophomore 219 Freshman 220 Freshman 221 Freshman 222 Junior 223 Freshman 224 Sophomore 225 Sophomore 226 Freshman 227 Sophomom 228 Junior 229 Sophomore 230 Freshman 231 Freshman Pronouns shaher he/his she/her hohis she/her shahar she/her sha/her she/her she/her shahar they/their shaher shohor shahar sha/her sheher hahi he his shahar she/her she/her she/her she/her they/their hathis she/her shoher sha/her he/his sheher she/her she/her Cols DOE Analye Graphy Tools View Window Help Survey Spring 2021 raw(1).jmp Are registered to HW VT Green behavior Height vote? Algolans 3 1 I do about 1/4 ... 05 Yos No opinion 1.5 21 do about hall... 68 Yos No opinion 2 54 You No opinion 2 1 1 do about 1/4 .. 68 Yos Yos 2 2 1 do about half. Yos No opinion 7.5 2 I do about hall... 62 Yes No opinion 5 1 1 do about 1/40 63 Yon No opinion 25 21 do about half 81 Yes No opinion 2 2 I do about hall... 5 You No opinion 0 0 I almost nevert 68 Yes No opinion 3 11 do about 1/4 61 You No opinion 2 31 do about 3/4 .. 62 Yes No opinion 2 1 1 do about 1/4 ... 64 Yes No opinion 3.31 do about 3/4 0. 68 Yon No 3 31 do about 3/4 ... 65 No Yes 8.5 11 do about 1/4 ... 68 No No opinion 2 21 do about half... 68 Yes No opinion 7 21 do about half 74 Yes No opinion 4 21 do about half 70 Yos No opinion 4.5. 1 I do about 1/4 ... 64 No No opinion 3 11 do about 1/40 You No 2 2 I do about half. 83 Yes No opinion 2 31 do about 3/4 0. 70 Yon No opinion 2 2 I do about half 84 Yes No opinion Yos 1.5 11 do about 1/40... 64 Yes 3.5 2 I do about half... 75 Yes No opinion 5 3 1 do about 3/4 ... 70 Yos No opinion 2 1 1 do about 1/4 ... 67 Yes 6 2 I do about half 61 No No opinion 5 2 1 do about half... 74 You No 5 21 do about hall... 63 Yes No opinion 3 41 am very aware... 65 Yos No opinion 68 Yes No opinion 4 41 am very aware... Govt Spending Water of Recycle Dream toolit Almost always None Not sure too much Almost always No more than 14 Yan about the right a... Almost always None Not sur too Never None Yen toote Almost always Around 1/2 Yes about the right Almost always No more than 1/4 Not sur Almost always No more than 1/4 Yes too inte Almost always No more than 1/4 Not un about the right Amost always No more than 1/4 Not sure too much Never None Not sure about the right. Almost always None Yes too little Occasionally Approximately. Not sure about the right a... Almost always None Yes about the night... Almost always Around 12 Yes toolit Almost always No more than 1/6 Yos too little Almost always Around 1/2 Yes too little Half the time None Yos about the night ... Occasionally Approximately. Not sure too little Half the time Around 1/2 Yos about the night... Never No more than 1/4 Not sure too much Almost ways Around 1/2 You about the right a... Almost always Approximately Not sur to inte Almost always Approximately. You about the right a... Never None Yea too little Almost always No more than 1/4 Not sur too little Half the time No more than 1/4 Yes too little Never Around 1/2 too little Almost always Nono Not sur too little Occasionally Around 1/2 Yos too much Occasionally Almost all Yes too little Occasionally Approximately... Yes too little Almost always Yes Around 1/2 too little Almost always Approximately Yes Yes : 23 JMP File Edit Tables Rows Cors DOE Analyze Graph Wed Jun 29 B07 PM Tools View Window Hoto Survey Spring 2021 row(1).jmp speed Blood type Hair cut price 40 20 10 Step time 7 Book Coat 450 350 345 a 700 220 024 500 400 500 3.5 4. 10 7 0 80 148 85 111 75 BO 35 110 B4 120 BS 35 BO 130 112 ga 207 400 How far is it in kilometers from 4633 770 500 1200 20000 3900 5 3930 200 700 7495 1 80 5000 4480 164 2250 2000 500 1200 4480 Random Number 199 7 200 5 201 4 202 2 200 7 204 2 205 B 208 4 8 200 209 5 210 10 211 3 212 7 213 4 314 2 215 8 216 8 217 9 218 7 219 7 220 7 221 9 222 223 7 224 5 225 3 226 6 227 228 6 229 7 230 8 231 7 6.5 10 11 17 2 244 400 400 54 205 480 500 30 100 150 55 17 20 40 120 60 0 200 85 7 30 0 145 55 220 5 22 155 15 120 20 300 20 200 5 9 0 4 10 Productive Tine Allmoon Evening Arnoon Evening Afternoon Aeroon Afternoon Moming Morning Aternoon Evening Afternoon Arnoon Evening Evening Evening Evening Afternoon Evening Morning Alternoon Morning Morning Moming Evening Morning Moming Attomoon Evening Evening Afternoon Alternoon Afternoon predict test Not Attend Class 33 TRUE 30 FALSE 92 TRUE 70 FALSE B3 TRUE 80 TRUE 85 TRUE 85 TRUE 90 TRUE 85 TRUE 80 TRUE 85 TRUE - THU 03 TRUE 68 TRUE B5 TRUE 33 TRUE BO FALSE 85 TRUE 60 TRUE 95 TRUE 95 TRUE 30 TRUE 87 FALSE 92 FALSE 88 TRUE 80 TRUE 80 TRUE 30. TRUE 80 TRUE 90 TRUE BO TRUE 95 TRUE Name import Sometime Extremely Extremely impo Not mportant Extremely impo Extremely impo Important but Extremely impo Somewhatid Important but important but Somewhat mod Somewhat mod Important buto Not very impon Somewhat impo Somewhat mod Somewhat Impe Somewhatimpa Important but Extremely impo Somewhat impe Somewhatimpa Not very import Important but Somesta imod Somewhat mo Somewatimp Extremely impo Extremely impo Extremely impo Not very impor Somewhatim 300 . 600 150 250 400 500 350 150.5 419.32 350 250 346 000 500 120 95 115 95 90 10 . 110 75 110 90 80 100 100 70 90 85 10 6 10 6 8 5 58970 300 3937 1200 4400 4690 15000 4490 7482 1200 4489 4489 5 8 6 0 7 C G 23 How far is it in krometers from Blood type predict 159 Sleep time 7 8 Brou 10 2 200 201 200 003 204 205 200 207 206 200 210 211 212 213 214 215 210 212 218 210 220 221 222 223 770 500 1300 20000 3000 3030 200 700 7495 1 so 5000 440 164 2250 2000 500 1200 4480 7 66 71 11 7 3 7 3 5 Productive Time Aternoon Benin Aron Evening Aron Atmoon Amon Morning Morning Attemson wanting Aternoon Arnoon Evening Evening Evening Evening Arnoon Evening Morning Aeternoon Morning Morning Morning Evening Morning Moming Aternoon Evening Evening Aternoon Afternoon Afternoon Mat Alland Class THUE 90 FALE 9 THE 70 FALLE THE NOTE 35 UE 35 TRUE TRUE 35 TRUE 10 TRUE 16 TRUE 30 TRUE | | | 68 TRUE ASTROL 30 TRUE 80 FALSE 85 TRUE THI | 95 TRUE 95 TRUE 80 TRUE 87 FALSE 92 FALSE 88 TRUE 80 TRUE 80 TRUE 90 TRUE 80 TRUE 30 TRUE BO TRUE 95 TRUE Mame mportance actor Form Diode mimpin DO Ey important Bato Don't meyve our DT No important B Dort amely portar Bartour Dory Extremely impa Dato Don't rut bunyi Guit 0 Ermelo Barbou A Burewtime Darbo Dont row Important but only import but only Barbour DOV Bowiat portant Young 3 Don't Domewhat tarbour Don't voortant but only Brou Contano Not very important antti 3 Conto Somnat important Young Don't know Somewhat morta Barbour boot Somewhat important Barbour DOWS Somewhat important Orrin 5 important but only in O B Don't know Extremely important Crime B Bomwa mota Your Somewhat import Barbour B D Not very moon Young important but only in Barbour Don't know Somewhat important Gin 11 Don't know Somewhat import Young B Somewhat important Barbour Don't know Extremely important Bour Don't know Lubecke Extremely important B o Extremely important Young B Barbour Don't know Not very important B Barbour Somewhat important Don't know O 4 10 . 10 88970 300 3937 1200 4400 10 6 8 5 9 4690 225 226 227 228 220 230 231 15000 4490 7482 1200 4489 4489 5 8 6 0 7 10. Question: Describe the distribution of BLOOD TYPE. Shape: Center: Spread: 11. Question: Describe the distribution of CLASS. Shape: Center: Spread: I 12. Question: Describe the distribution of ARE REGISTERED TO VOTE? Shape: Center: Spread: 13. Question: Describe the distribution of HWK TIME. Shape: Center: Spread: 14. Question: Describe the distribution of SPEED. Shape: Center: Spread: 15. Question: Describe the distribution of PREDICT TEST. Shape: Center: Spread: 16. Question: Look at the graph for CLASS. Put the cursor in the bar for the sophomores and click The bar for the sophomores should be highlighted AND so should parts of all the other graphs. The highlighting shows where the SOPHOMORES are. Click on one of the bars in the HEIGHT graph, and you will see the distribution of that height highlighted in the other graphs. Try this for some of the other variables. List at least 2 interesting relationships between variables in the data. 17. When trying to describe the distribution of numerical continuous variables, there are a few things you can do to that may make a graph more revealing To RESIZE a graph, put the cursor near the lower right-hand corner of the graph. When you have it in just the right place, a small diagonal line will appear. Drag it out and down while holding the left mouse button down to increase the size of the graph window. Adjust the size of the graphs until they are easy to read. 18. TO CHANGE the NUMBER OF INTERVALS in a histogram, "grab" the HAND TOOL by clicking on the button that looks like a hand. It is just under the word View in the menu bar. Put the hand inside the graph window. Click and HOLD the mouse button down and slide the hand up to increase the number of intervals and down to decrease the number of intervals. Play with the graphs until you have the most meaningful" picture of the data. I 19. Question: Where on the graph (higher or lower values) do you think you would find the homework times of the freshman? Why? 20. Question: Let's check your guess. Highlight the freshman bar in the CLASS graph by clicking on it. Was your guess about where the freshman's homework times should be accurate? 21. Question: Go to the histogram for HEIGHT. What seems wrong with this graph? 22. Sometimes when we see an outlier, we can investigate it. There are several observations that are quite small. It is unreasonable that someone would be 5 inches tall. In this case, we can exclude these observations to see what the data looks like without them. Go back to the data table. These observations are found in rows 4, 44, 101, and 114. Right click on the 4. Select Exclude/Unexclude. Do this for the others. Then redo the analysis by selecting analyze, distribution, and putting Height in the Y box. 23. Question: Now, look at the distribution of HEIGHT. How did it change from question 21? 24. Question: Go back and include these datapoints again by selecting Exclude/Unsxcluds for each one. There are other variables that have similar problems as Height. What is one of them? What values can't be (or are unlikely to be) true? 25. Go to the Analyze menu and click on Fit Y by X. Select HWK TIME as the Y variable and put CLASS in the box for the X variable. Click OK. Resize the graph to make it clearer if needed. In the DISPLAY OPTIONS menu for the graph, de-select "X-axis proportional" by clicking on it. The check mark beside it should disappear. Click on the Jitter option in the DISPLAY pop-up menu. "Jittering" the points allows you to see where data points have overlapped each other. 26. Question: We can also use JMP to make side-by-side boxplots for comparison of groups. Click the red triangle and select "Display Options." Choose Boxplot . Although we haven't discussed boxplots yet, we have seen them and will get to them in Chapter 3. Based on what you know, describe any similarities and/or differences between the center, spread, and any outiers (unusual observations) for the different classes, 27. Explore this data set on your own for a while. If you discover something interesting, list it here