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.