Monday, Feb 01:
data:
(from moore, mccabe, craig: Introduction to the Practice of Statistics, 2012. p 10.)
vitamin d in:
adolescent females: 16 43 38 48 42 23 36 35 37 34 25 28 26 43 51 33 40 35 41 42
adolescent males: 18 28 28 28 37 31 24 29 8 27 24 12 21 32 27 24 23 33 31 29
* describe the data
* compare the data
* two ways to attack the data
(from moore, mccabe, craig: Introduction to the Practice of Statistics, 2012. p 13.)
IQ scores: 145 139 126 122 125 130 96 110 118 118 101 142 134 124 112 109 134 113 81 113 123 94 100 136 109 131 117 110 127 124 106 124 115 133 116 102 127 117 109 137 117 90 103 114 139 101 122 105 97 89 102 108 110 128 114 112 114 102 82 101
(from moore, mccabe, craig: Introduction to the Practice of Statistics, 2012. p 19.)
bones: 39 59 30 48 71 31 25 31 71 50 38 63 49 45 31 33 28 40 127 49 59 50 64 28 46 35 28 19 29
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Today (thursday, 1/28/2016) , in class:
open and create a google document.
share it with me.
open with: "My list of commands". Keep it up to date as we go through this.
input the data from 2015 and 2016.
change the data from 2015 to age it a year
make a list of all the things we can do to a list
sort
summary
...what else?
create a box plot of our data, label all pieces correctly (2016)
make sure we save everything properly when working in googledocs -- THINGS DO NOT SAVE FOR US (on library computers)
create a histogram of our data (2016)
create a stacked boxplot of our data
work through the MLB data, answering the questions and working through it in r.
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Favorite Colors
Distance From School
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Age of Mundt (2016 Data)
--- LEAST YEARS AGE OF MUNDT
Mundt Age (2015 data):
mlb data (2014)
mlb.teams=c(228, 216, 165, 150, 148, 140, 127, 119, 117, 115, 114, 114, 107, 104, 90, 89, 89, 83, 81, 80, 78, 76, 73, 72, 72, 67, 60, 58, 36, 22)