Create a comparative dotplot for student heights split by sex. To do this, go to graph and then select the graph type. Here since we have all the heights in one column, it is a one y. Since we are splitting the data by the variable sex, it is with groups. Select height as the y (graph) variable, and then sex as the variable to split by. Change the title to “Student Heights by Sex”. Make sure the x-axis is labeled “height in inches”. To change labels, right click on them and choose edit. Type in the new label. Paste the graph below. Does there seem to be a difference in heigh
Create a comparative dotplot for student heights split by sex. To do this, go to graph and then select the graph type. Here since we have all the heights in one column, it is a one y. Since we are splitting the data by the variable sex, it is with groups. Select height as the y (graph) variable, and then sex as the variable to split by. Change the title to “Student Heights by Sex”. Make sure the x-axis is labeled “height in inches”. To change labels, right click on them and choose edit. Type in the new label. Paste the graph below. Does there seem to be a difference in heigh
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 31E
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Question
Create a comparative dotplot for student heights split by sex. To do this, go to graph and then select the graph type. Here since we have all the heights in one column, it is a one y. Since we are splitting the data by the variable sex, it is with groups. Select height as the y (graph) variable, and then sex as the variable to split by. Change the title to “Student Heights by Sex”. Make sure the x-axis is labeled “height in inches”. To change labels, right click on them and choose edit. Type in the new label. Paste the graph below. Does there seem to be a difference in heights based on sex?
Age | Gender | Height | Arm Length |
Number Siblings
|
Birth Order | Handedness |
Number Classes
|
Number Credits
|
Hrs. Exercise
|
Athlete at Broome
|
Hrs. TV | Award | Pulse |
Number Piercings
|
Facebook Friends
|
Followers on Instagram
|
Tattoo | Division | Local | section |
18 | f | 63 | 27.5 | 2 | 3 | r | 4 | 14 | 1.5 | n | 3 | NP | 74 | 2 | 82 | 72 | n | HS | y | 4 |
19 | m | 74 | 31.5 | 4 | 5 | r | 4 | 11 | 5 | n | 1.5 | O | 0 | 600 | 700 | n | STEM | y | 4 | |
17 | f | 66 | 29.2 | 2 | 2 | l | 6 | 15 | 5 | y | 21 | NP | 64 | 2 | 1801 | 1370 | n | HS | y | 4 |
18 | f | 66 | 30 | 5 | 5 | r | 4 | 12 | 30 | n | 15 | NP | 91 | 1 | 500 | 700 | n | LA | y | 4 |
30 | m | 67 | 30 | 3 | 1 | r | 4 | 12 | 5 | n | 5 | OG | 83 | 2 | y | STEM | n | 4 | ||
20 | f | 66 | 27 | 1 | r | 5 | 15 | 7 | n | 7 | AA | 65 | 1 | 50 | 1015 | n | LA | y | 4 | |
26 | f | 67 | 29 | 1 | 1 | r | 5 | 14 | 3 | n | 0 | OG | 22 | 5 | 130 | 120 | y | HS | y | 4 |
18 | f | 64 | 28 | 1 | 2 | r | 5 | 13 | 7 | y | 6 | NP | 20 | 5 | 50 | 50 | y | STEM | y | 4 |
17 | f | 64 | 28 | 3 | 2 | r | 5 | 13 | 2 | n | 3 | NP | 9 | 407 | 472 | n | y | 4 | ||
19 | m | 69 | 2 | 1 | r | 5 | 13 | 1 | n | 10 | NP | 0 | 0 | 70 | y | STEM | y | 4 | ||
18 | f | 66 | 27.5 | 4 | 1 | r | 5 | 12 | n | 48 | AA | 70 | 2 | 289 | 246 | y | HS | n | 4 | |
19 | m | 75 | 30.5 | 3 | 2 | r | 5 | 13 | 4 | n | 2 | OG | 86 | 0 | 254 | 317 | n | LA | y | 4 |
18 | m | 70 | 31 | 2 | 2 | r | 4 | 14 | 1 | n | 18 | NP | 69 | 0 | 0 | 280 | n | HS | n | 4 |
18 | m | 73 | 30.5 | 2 | 2 | r | 6 | 17 | 4 | n | 6 | NP | 0 | 0 | 1000 | n | n | 4 | ||
18 | m | 70 | 31.5 | 2 | 2 | r | 5 | 16 | 3 | n | 40 | OG | 71 | 0 | 300 | 0 | n | STEM | n | 4 |
19 | f | 68 | 29 | 2 | 2 | r | 5 | 12 | 0 | n | 4 | OG | 2 | 0 | 1000 | n | n | 4 | ||
18 | f | 64 | 27.5 | 3 | 4 | r | 5 | 15 | 0 | n | 10 | OG | 92 | 9 | 200 | 400 | y | y | 4 | |
18 | m | 71 | 31.5 | 1 | 1 | r | 4 | 12 | 3 | y | 8 | OG | 1 | 0 | 792 | y | BPS | n | 4 | |
19 | m | 71 | 30 | 9 | 2 | r | 6 | 15 | 10 | n | 1 | OG | 2 | 0 | 2000 | y | HS | y | 4 | |
24 | m | 70 | 30 | 5 | 6 | a | 1 | 3 | 3.5 | n | 15.5 | AA | 58 | 0 | 2000 | 450 | n | LA | y | 12 |
21 | m | 72 | 31 | 2 | 2 | r | 5 | 15 | 5 | n | 10 | NP | 52 | 1 | 0 | 378 | y | BPS | y | 12 |
18 | m | 69 | 30 | 1 | 2 | r | 7 | 20.5 | 5 | n | 3 | NP | 62 | 0 | 186 | 716 | n | HS | n | 12 |
44 | f | 64 | 25 | 5 | 2 | r | 4 | 13 | 3 | n | 3 | NP | 65 | 6 | 500 | 25 | y | HS | y | 12 |
18 | f | 63 | 28 | 0 | 1 | r | 4 | 14 | 15 | n | 5 | NP | 58 | 7 | 0 | 600 | n | HS | y | 12 |
20 | f | 66 | 29 | 1 | 2 | r | 5 | 13 | 6 | n | 5 | OG | 62 | 4 | 200 | 1000 | y | HS | n | 12 |
22 | f | 68 | 30 | 1 | 2 | r | 2 | 7 | 7 | n | 20 | AA | 68 | 0 | 0 | 0 | n | n | 12 | |
18 | f | 64 | 28 | 0 | 1 | r | 6 | 18 | 7 | n | 1 | NP | 81 | 4 | 600 | 2000 | y | STEM | n | 12 |
32 | f | 63 | 26.5 | 2 | 1 | r | 4 | 12 | 0 | n | 7 | NP | 5 | 1600 | 0 | n | HS | y | 12 | |
19 | f | 67 | 27 | 4 | 1 | r | 5 | 16 | 0 | n | 2 | NP | 88 | 4 | 923 | 1597 | y | HS | n | 12 |
28 | m | 66 | 29 | 5 | 2 | r | 4 | 14 | 1 | n | 20 | NP | 70 | 0 | 250 | 0 | y | HS | n | 12 |
19 | f | 63 | 27 | 1 | 2 | r | 6 | 17 | 6 | y | 9 | OG | 610 | 7 | 0 | 1500 | n | HS | y | 12 |
18 | f | 63 | 27 | 3 | r | 5 | 15 | 7 | y | 2 | OG | 68 | 4 | 100 | 1000 | y | LA | n | 12 | |
19 | f | 61.5 | 27 | 3 | 1 | r | 5 | 14 | 2.5 | y | 2.5 | OG | 77 | 8 | 400 | 800 | n | HS | y | 12 |
19 | f | 66 | 28 | 1 | 1 | r | 4 | 12 | 7 | n | 12 | NP | 70 | 5 | 150 | 900 | n | HS | y | 12 |
19 | f | 62 | 25.5 | 2 | 3 | r | 4 | 12 | 0 | n | 20 | AA | 81 | 2 | 1000 | 340 | n | LA | y | 12 |
21 | f | 65 | 28 | 7 | 4 | r | 4 | 12 | 6 | unsure | 8 | NP | 7 | 0 | 2000 | y | STEM | y | 12 | |
18 | f | 68 | 29.5 | 1 | 2 | l | 5 | 16 | 3 | n | 5 | OG | 45 | 2 | 0 | 65 | n | HS | y | 12 |
20 | f | 66 | 29.5 | 0 | 1 | r | 5 | 13 | 0 | n | 8 | NP | 60 | 2 | 500 | 401 | n | LA | n | 12 |
24 | f | 68 | 28 | 0 | 1 | r | 5 | 19 | 3 | n | 3.5 | AA | 86 | 2 | 0 | 62 | y | BPS | n | 11 |
18 | f | 64 | 29 | 1 | 1 | r | 5 | 15 | 3 | n | 7 | NP | 75 | 2 | 120 | 1624 | n | LA | n | 11 |
18 | m | 71 | 33 | 0 | 1 | r | 5 | 1 | n | 4 | AA | 74 | 0 | 0 | 30 | n | LA | y | 11 | |
19 | f | 66 | 2 | 2 | r | 5 | 16 | 2 | n | 7 | AA | 82 | 4 | 60 | 585 | n | BPS | n | 11 | |
19 | f | 61 | 28 | 1 | 2 | l | 4 | 12 | 0 | n | 10 | AA | 93 | 1 | 346 | 836 | y | HS | n | 11 |
18 | f | 69 | 29 | 1 | 2 | l | 5 | 15 | 60 | unsure | 14 | AA | 104 | 4 | 2000 | 1000 | y | LA | y | 11 |
18 | f | 64 | 28.5 | 2 | 2 | r | 5 | 15 | 4 | n | 2 | OG | 78 | 4 | 0 | 1580 | y | HS | y | 11 |
19 | f | 66 | 27 | 1 | 1 | r | 5 | 13 | 3 | n | 10 | OG | 75 | 7 | 500 | 1200 | y | LA | y | 11 |
18 | f | 65 | 25.3 | 4 | 3 | r | 5 | 15 | 14 | n | 20 | AA | 74 | 4 | 250 | 1800 | y | LA | y | 11 |
20 | f | 66 | 28.5 | 5 | 3 | r | 5 | 15 | 0.5 | n | 60 | AA | 74 | 3 | 2000 | 500 | y | LA | y | 11 |
20 | m | 71 | 30 | 1 | 1 | r | 7 | 17 | 8.5 | n | NP | 0 | 950 | 1112 | n | LA | n | 11 | ||
19 | f | 63 | 25 | 7 | 6 | r | 4 | 12 | 7 | n | 3 | AA | 101 | 2 | 2000 | 1600 | n | LA | y | 11 |
18 | f | 63 | 26 | 8 | 7 | r | 5 | 16 | 5 | n | 2 | OG | 70 | 6 | 500 | 730 | y | HS | y | 11 |
21 | m | 66 | 29 | 0 | 1 | l | 4 | 14 | 10 | n | 2 | OG | 78 | 0 | 0 | 600 | y | STEM | n | 11 |
22 | f | 69 | 27 | 0 | 1 | r | 2 | 8 | 5 | n | 3 | OG | 86 | 6 | 2000 | 1500 | y | HS | y | 11 |
39 | f | 64 | 25.5 | 6 | 6 | r | 2 | 6 | 5 | n | 10 | NP | 80 | 2 | 50 | 0 | y | HS | y | 11 |
20 | f | 62 | 25 | 1 | 1 | r | 4 | 14 | 20 | n | 0 | NP | 0 | 0 | 0 | n | LA | y | 11 | |
18 | m | 67 | 28.5 | 5 | 2 | r | 5 | 16 | 8 | y | 0 | NP | 65 | 2 | 350 | 955 | y | y | 11 | |
18 | f | 61 | 27 | 4 | 1 | r | 5 | 15 | 14 | unsure | 7 | OG | 88 | 0 | 0 | 0 | n | HS | y | 11 |
24 | f | 62 | 27.5 | 7 | 5 | r | 5 | 13 | 3 | n | 5 | OG | 76 | 0 | 1000 | 950 | n | HS | y | 11 |
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