CrunchIt ex01-016.txt Crunchlt File Edit Insert Filtering Statistics Graphics Distribution Calculator ▾ ID Potassium_mg Dose Source 1 1 3120.18 40 Supplement 22 3816.27 40 Supplement 33 3029.90 40 Supplement 4 4 3516.95 40 Supplement 5 5 3136.48 40 Supplement 6 6 3678.90 40 Supplement 7 7 2680.07 40 Supplement 8023150722222222222 8 3327.98 40 Supplement 99 3127.92 40 Supplement 10 2953.97 40 Supplement 11 11 3481.39 40 Supplement 12 3282.91 40 Supplement 13 3457.95 40 Supplement 14 14 3245.62 40 Supplement 15 3169.74 40 Supplement 16 16 3197.20 40 Supplement 17 3071.71 40 Supplement 18 18 3233.94 40 Supplement 19 19 3615.02 40 Supplement 20 20 3946.31 40 Supplement 21 3795.46 40 Supplement 22 22 3587.13 40 Supplement 23 23 3100.61 40 Supplement 24 24 3185.44 40 Supplement 25 25 3330.24 40 Supplement 26 26 3321.45 40 Supplement 27 27 3334.66 40 Supplement 28 28 3168.79 40 Supplement 29 29 3173.70 40 Supplement The 2015 Dietary Guidelines for Americans notes that the average potassium (K) intake for U.S. adults is about half of the recommended amount. Data were recorded for 29 subjects who received a potassium salt supplement with 40 milliequivalents (mEq) of potassium. Click to download the data in your preferred format. CSV Excel JMP Mac-Text Minitab PC-Text R SPSS TI CrunchIt! Make a stemplot of the data. Are there any outliers? If yes, describe them and explain why you have declared them to be outliers. This data set does not contain outliers because there are not any observations that clearly stand apart from the pattern of the stemplot. The value of 2680.07 is an outlier because it is the most extreme value in the data set. The values of 2680.07 and 3946.31 are outliers because they both are extreme values in the data set in either direction. The value of 3197.20 is a outlier because it represents the peak value in the stemplot. The data set does not contain outliers because there are not any observations that have a value less than 2500.
CrunchIt ex01-016.txt Crunchlt File Edit Insert Filtering Statistics Graphics Distribution Calculator ▾ ID Potassium_mg Dose Source 1 1 3120.18 40 Supplement 22 3816.27 40 Supplement 33 3029.90 40 Supplement 4 4 3516.95 40 Supplement 5 5 3136.48 40 Supplement 6 6 3678.90 40 Supplement 7 7 2680.07 40 Supplement 8023150722222222222 8 3327.98 40 Supplement 99 3127.92 40 Supplement 10 2953.97 40 Supplement 11 11 3481.39 40 Supplement 12 3282.91 40 Supplement 13 3457.95 40 Supplement 14 14 3245.62 40 Supplement 15 3169.74 40 Supplement 16 16 3197.20 40 Supplement 17 3071.71 40 Supplement 18 18 3233.94 40 Supplement 19 19 3615.02 40 Supplement 20 20 3946.31 40 Supplement 21 3795.46 40 Supplement 22 22 3587.13 40 Supplement 23 23 3100.61 40 Supplement 24 24 3185.44 40 Supplement 25 25 3330.24 40 Supplement 26 26 3321.45 40 Supplement 27 27 3334.66 40 Supplement 28 28 3168.79 40 Supplement 29 29 3173.70 40 Supplement The 2015 Dietary Guidelines for Americans notes that the average potassium (K) intake for U.S. adults is about half of the recommended amount. Data were recorded for 29 subjects who received a potassium salt supplement with 40 milliequivalents (mEq) of potassium. Click to download the data in your preferred format. CSV Excel JMP Mac-Text Minitab PC-Text R SPSS TI CrunchIt! Make a stemplot of the data. Are there any outliers? If yes, describe them and explain why you have declared them to be outliers. This data set does not contain outliers because there are not any observations that clearly stand apart from the pattern of the stemplot. The value of 2680.07 is an outlier because it is the most extreme value in the data set. The values of 2680.07 and 3946.31 are outliers because they both are extreme values in the data set in either direction. The value of 3197.20 is a outlier because it represents the peak value in the stemplot. The data set does not contain outliers because there are not any observations that have a value less than 2500.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.2: Representing Data
Problem 22PFA
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Question
iI don't understand it, please help me :) thanks
Transcribed Image Text:CrunchIt ex01-016.txt
Crunchlt File Edit Insert Filtering Statistics Graphics Distribution Calculator ▾
ID
Potassium_mg
Dose
Source
1
1
3120.18
40
Supplement
22
3816.27
40
Supplement
33
3029.90
40
Supplement
4 4
3516.95
40
Supplement
5
5
3136.48
40
Supplement
6
6
3678.90
40
Supplement
7
7
2680.07
40
Supplement
8023150722222222222
8
3327.98
40
Supplement
99
3127.92
40
Supplement
10
2953.97
40
Supplement
11
11
3481.39
40
Supplement
12
3282.91
40
Supplement
13
3457.95
40
Supplement
14 14
3245.62
40
Supplement
15
3169.74
40
Supplement
16 16
3197.20
40
Supplement
17
3071.71
40
Supplement
18 18
3233.94
40
Supplement
19 19
3615.02
40
Supplement
20 20
3946.31
40
Supplement
21
3795.46
40
Supplement
22 22
3587.13
40
Supplement
23 23
3100.61
40
Supplement
24 24
3185.44
40
Supplement
25 25
3330.24
40
Supplement
26 26
3321.45
40
Supplement
27 27
3334.66
40
Supplement
28 28
3168.79
40
Supplement
29 29
3173.70
40
Supplement
Transcribed Image Text:The 2015 Dietary Guidelines for Americans notes that the average potassium (K) intake for U.S. adults is about half of the
recommended amount. Data were recorded for 29 subjects who received a potassium salt supplement with
40 milliequivalents (mEq) of potassium.
Click to download the data in your preferred format.
CSV Excel JMP Mac-Text Minitab PC-Text R SPSS TI CrunchIt!
Make a stemplot of the data.
Are there any outliers? If yes, describe them and explain why you have declared them to be outliers.
This data set does not contain outliers because there are not any observations that clearly stand apart from the pattern
of the stemplot.
The value of 2680.07 is an outlier because it is the most extreme value in the data set.
The values of 2680.07 and 3946.31 are outliers because they both are extreme values in the data set in either direction.
The value of 3197.20 is a outlier because it represents the peak value in the stemplot.
The data set does not contain outliers because there are not any observations that have a value less than 2500.
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