# data[].attributes.body
16.3
14.7
15.6
16.8
2.
15
16
16
7

# data[].attributes.body
1) 16.3
14.7
15.6
16.8
2. =15
=16
=16
=7

# data[].attributes.body
1)
Mean= 16.3
Mode= 14.7
Median= 15.6
Range= 16.8
2)
Mean= 15
Mode=16
Median= 16
Range= 7

# data[].attributes.body
1)
Mean= 16.3
Mode= 14.7
Median=15.6
Range= 16.8
2)
Mean= 15
Mode= 16
Median= 16
Range= 7

# data[].attributes.body
1)
Mean= 16.3
Mode= 14.7
Median=15.6
Range= 16.8
2)
Mean= 15
Mode= 16
Median= 16
Range= 7

# data[].attributes.body
1)
Mean= 16.3
Mode= 14.7
Median=15.6
Range= 16.8
2)
Mean= 15
Mode= 16
Median= 16
Range= 7

# data[].attributes.body
cierra winston

# data[].attributes.body
1)
Mean= 16.3
Mode= 14.7
Median=15.6
Range= 16.8
2)
Mean= 15
Mode= 16
Median= 16
Range= 7

# data[].attributes.body
1)
Mean-12.55
Median-14.35
Range-23
Mode-No mode

2)
Mean-57.625
Median-63
Range-63 and 98
Mode-99

# data[].attributes.body
mean 16.33
mode 5
meadian 16.5
range 16.8
mean 15
mode 14/16
meadian 16
range 4

# data[].attributes.body
mean:16.33
mode: 14.7
median:15.6
range: 16.8

mean: 14
mode:16
median: 15
range: 7

# data[].attributes.body
mean. 16.33
median.15.6
mode.14.7
range.1.8
2.mean 57.63
mdeian 57.63
mode 63.98
range 99

# data[].attributes.body
1.
Mean 16.33
mode 14.7
median 15.6
range 16.8
2
mean 15
mode 16
median 15
range 7

# data[].attributes.body
1) mean 16.33
median 16.5,18.3
mode 14.7
range  16.8
2) mean 15
median 16
mode 16
range 4
0-l--c

# data[].attributes.body
1.
Mean: 16.33
mode : 14.7
median : 15.6
range : 16.8
2.
Mean: 15
mode : 16
median : 15
Range : 7

# data[].attributes.body
mean:16.33
mode:14.7
median:15.6
range:16.8

mean:14
mode:16 and14
meadian1
range:7

# data[].attributes.body
mean 12.55
m

# data[].attributes.body
1.
Mean 16.33
Mode 14.7
Median 15.6
Range 16.8
2.
Mean 15
Mode 16
Median 15
Range 7

# data[].attributes.body
1.mean 16.33
median 15.4
mode 14.7
range 1.8
2.mean 57.63
median 57.63
mode 63.98
range 99

# data[].attributes.body
1.  mean 16.33
median 15.6
mode 14.7
range 1.8
2. mean 15
median 16
mode 14
range 7

# data[].attributes.body
1)
Mean- 12.55
Median- 14.35
Mode- none
Range- 23
2)
Mean- 57.63
Mode- 63,98
median- 63
Range- 99

# data[].attributes.body
1
mean 12.55
median 14.35
mode
range 23

2

mean 57.63
median 63
mode 63.98
range 99

# data[].attributes.body
1)Mean-16.33
.Median-15.6
.Mode-14.7
.Range-16.8
2)Mean-15
.Median-16
.Mode-14 & 16
.Range-7

# data[].attributes.body
1)23, 12.55, 14.7 , 14.35                      2)%7.625, 99, 63 and 98

# data[].attributes.body
1)mean-12.55
mode-none
median-14.35
range-23
2)mean-57.625
median-63
mode-63,98
range-99

# data[].attributes.body
mean- 16.33
meadian-15.6
mode- 14.7
range- 16.8
2.
mean- 15
madian- 16
mode- 14 &16
range- 7

# data[].attributes.body
1.
Mean - 16.33
Median - 15.6
Mode - 14.7
Range - 16.8

2.
Mean - 15
Median - 16
Mode - 14 & 16
Range - 7

# data[].attributes.body
Number one
mean=16.3
median=15.6
mode=14.7
range=16.8
Number Two
mean=15
median=16
mode=14&16
Range=7

# data[].attributes.body
1. mean 16.3 median 15.6 mode 14.7 range 16.8
2. mean 15 median 16 mode 14/16
range 7

# data[].attributes.body
1.
Mean - 16.33
Median - 15.6
Mode - 14.7
Range - 16.8
2.
Mean - 15
Median - 16
Mode - 14 & 16
Range - 7

# data[].attributes.body
1
Mean-12.55
Median-14.35
Mode-none
Range-23

2
Mean-57.63
Mode-63,98
Median-63
Range-99

# data[].attributes.body
Mean-16.33
median-15.6
mode-14.7
range-16.8

2
mean-15
median-6
mode-6
range-7

# data[].attributes.body
1.
Mean - 16.33
Median - 15.6
Mode - 14.7
Range - 16.8

2.
Mean - 15
Median - 16
Mode - 14 & 16
Range - 7

# data[].attributes.body
#1.)                                                                    25.3, 14.7, 16.5, 18.3, 14.7, 8.5       Mean= 16.3
Mode= 14.7
Median=15.6
8.5, 14.7, 14.7,  16.5, 18.3, 25.3
Range= 16.8

#2.)
11, 18,14,16,14,16,16
Mean= 15
Mode= 16
Median= 16
11, 14, 14, 16, 16, 16, 18
Range= 7

# data[].attributes.body
1)
Mean: 16.33
Median: 15.6
Mode: 14.7
Range: 16.8

2)
Mean: 15
Median:
Mode: 16
Range:

# data[].attributes.body
1)
mean: 16.33
median:15.5
mode:14.7
Range:16.8

2)
mean:15
median:16
mode:16
Range:7

# data[].attributes.body
1) mean: 16.33
median:15.6
mode:14.7
range:16.8
2) mean:15
median:16
mode:16
range:7

# data[].attributes.body
number 1
mean: 12.55
median: 14.35
mode: none
range: 23

number 2
mean: 57.625
median: 63
mode: 63 and 98
range: 99

# data[].attributes.body
#1
mean is 16.33
median is 14.7
mode 14.7
range 16.8

#2
mean 15
median 16
mode 16
range 7

# data[].attributes.body
#1 mean = 16.33
median = 14.7
mode=14.7
range=16.8
#2 mean 15
median = 16
mode=16
range=7

# data[].attributes.body
#1
mean: 16.33
median: 15.6
mode: 14.7
Range: 16.8
#2
mean: 15
median:16
mode: 16
Range:7

# data[].attributes.body
1. mean: 16.33
median: 14.7
mode: 14.7
range: 16.8
2. mean: 15
median: 16
mode: 16
range: 7

# data[].attributes.body
#1 mean is 16.33,median is 16.5 ,mode is 14.7,range is 16.8
#2 mean is 15,mode is 16 ,median is 16,range is 7

# data[].attributes.body
#1
mean is 14.6
median is 14.7
mode is 14.7
range is 17
#2
mean is 15
median is 16
mode is 16 and 14
range is 7

# data[].attributes.body
#1 mean is 16.33 median is 16.5 mode is 14.7 range is 16.8

#2 the mode is 15 the mode is 16 median is 16 range is

# data[].attributes.body
#1 range 16.8
mode 14.7
median 16.5
mean 16.33

#2 range 7
mode 16
mean 15
median 16

# data[].attributes.body
mean:16.33
mode:14.7
median:15.6
range:16.8

mean:14
mode:16 and14
meadian1
range:7

# data[].attributes.body
Mean 16.33
Median 15.6
Mode 14.7
Range 16.8

mean 14.5
median 15
mode 16
range 7

# data[].attributes.body
mean=16.33
median=15,6
mode=14.7
range=16.8

#2mean=14.5
mode=16
median=15
range=5

# data[].attributes.body
#1
mode - 14.7
median - 15.6
mean - 16.33
Range - 16.8
#2
mode - 16
median - 16
mean - 15
range - 7

# data[].attributes.body
#1mean 16.33
median 15.6
mode 14.7
range 16.8

#2 mean 14.5
median 15
mode 16
range 7

# data[].attributes.body
Mean:16.3
Mode:14.7
Range:15.6
Median:16.8

# data[].attributes.body
#1.Mean 16.3
Mode:14.7
Median:16.8
Range:16.8

#2 Mean 15
Mode 16
median 16
range 7

# data[].attributes.body
1)
mean= 16.33
median= 15.6
mode= 14.7
range= 16.8

#2
mean= 14.5
median= 15
mode= 16
range= 7

# data[].attributes.body
#1
mean= 16.33
median= 15.6
mode= 14.7
range= 16.8
#2
mean= 14.5
median= 17
mode=16
range= 5

# data[].attributes.body
#1 mean=16.33
median=15.6
mode=14.7
range=16.8
#2 mean= 14.5
mode=16
median=15
range=5

# data[].attributes.body
1)mean=16.3
mode=14.7
median=15.6
range=16.8
2)meanvcmkj nxlfjdksrr

# data[].attributes.body
1)mean= 16.3
median=15.6
mode=14.7
range=16.8
2) mean=14.5
median=15
mode=16
range=7

# data[].attributes.body
1) Mean = 16.33
Mode=14.7
Median=15.6
Range=16.8

2) Mean=15
Mode=16
Median=16
Range=7

# data[].attributes.body
1) Mean= 16.33
Median=15.6
Mode=14.7
Range=16.8

2) Mean=15
Mode=16
Range=7
Median=16

# data[].attributes.body
1)Mean= 12.55
median=

# data[].attributes.body
#1 mean=16.3
mode=14.7
median=15.6
range=16.8

#2 mean=15
mode=16
median=16
range=7

# data[].attributes.body
(top left corner)
1)
Mean=16.3
Mode=14.7
Median=15.6
Range=16.8

2)
Mean=15
Mode=16
Median=16
Range=7

# data[].attributes.body
1) Mean= 12.55
Median= 14.55
Mode=0
Range=23
2) Mean= 57.625
Median= 63
Mode=  63 & 98
Range=99

# data[].attributes.body
1) Mean=12.55
Median=14.35
Mode=0/nothing
Range=23

2) Mean=57.625
Median=63
Mode=63 and 98
Range=99

# data[].attributes.body
1)
mean=12.55
median=14.35
range=23
mode=no mode
2)
mean=57.625
median=63
mode=63 and 98
range=99

# data[].attributes.body
#1
Mean: 12.55
Median: 14.33
Mode: No mode
Range: 23
#2
Mean: 57.625
Median: 63
Mode: 98 and 63
Range: 99