Calculator Use
- 1 (12) 3 (2) 5 (2) 4 (1) Tip of leaf Point (5) Spike (5) Rounded (2) Underside of leaf Not hairy (2) Hairy (1) Discover Life's page about the biology, natural history.
- Stem-and-Leaf Plots (A) Answer the questions about the stem-and-leaf plot. Stem leaf 13 6 14 1 1 4 6 15 3 8 16 5 8 17 2 3 6 18 0 6 7.
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The 1.5 oz Maple Leaf silver coin's design also includes the familiar image of Queen Elizabeth II on the coin's obverse and the iconic maple leaf design on the reverse. The SuperLeaf™coin has a face value of eight dollars (CAD) and a 38 mm diameter. Monex offers 1.5 oz Canadian Maple Leaf silver coins for personal delivery only.
Generate an online stem and leaf plot, or stemplot, and calculate basic descriptive statistics for a sample data set with 4 or more values and up to 1000 values, all non-negative. Enter values separated by commas such as 1, 2, 4, 7, 7, 10, 2, 4, 5.
You can also copy and paste lines of data points from documents such as Excel spreadsheets or text documents with or without commas in the formats shown in the table below.
Notes:
- Does not currently handle values less than 0.
- Does not handle decimals and they will be truncated. If you need to work with decimals you can multiply all of your values by a factor of 10 and calculate based on those. You will just need to interpret the results appropriately.
- If you really need to work with negative values please send me a calculation request.
For additional descriptive statistical values see Descriptive Statistics Calculator.
Below is a sample stem and leaf plot and listing of the statistical values calculated.
Sample Stem and Leaf Plot with split stems
Data Set:
42, 14, 22, 16, 2, 15, 8, 27, 6, 15, 19, 48, 4, 31, 26, 20, 28, 13, 10, 18, 13, 15, 48, 16, 15, 5, 18, 16, 28, 11, 0, 27, 28, 5, 40, 21, 18, 7, 12, 6, 40, 12, 2, 20, 35, 3, 16, 13, 8, 15, 7, 65, 65, 25, 15, 21, 12, 12, 35, 30, 14, 35, 20, 35, 7, 35
Stem and Leaf Plot:
Leaf 5 1 5 0 Dierks Bentley
5+1 News
Basic Statistics Formulas and Calculations used in this Calculator
Minimum
Ordering a data set {x1 ≤ x2 ≤ x3 ≤ .. ≤ xn} from lowest to highest value, the minimum is the smallest value x1.
[ text{Min} = x_1 = text{min}(x_i)_{i=1}^{n} ]Maximum
Ordering a data set {x1 ≤ x2 ≤ x3 ≤ .. ≤ xn} from lowest to highest value, the maximum is the largest value xn.
[ text{Max} = x_n = text{max}(x_i)_{i=1}^{n} ]Sum
The sum is the total of all data values. {x1 + x2 + x3 + .. + xn}
[ text{Sum} = sum_{i=1}^{n}x_i ]Size
The total number of data values in a data set.
[ text{Size} = n = text{count}(x_i)_{i=1}^{n} ]Mean
The sum of all of the data divided by the size. The mean is also known as the average.
[ overline{x} = dfrac{sum_{i=1}^{n}x_i}{n} ]Median
Ordering a data set {x1 ≤ x2 ≤ x3 ≤ .. Iffmpeg 5 5 4 download free. ≤ xn} from lowest to highest value, the median is the numeric value separating the upper half of the ordered sample data from the lower half. If n is odd the median is the center value. If n is even the median is the average of the 2 center values.
If n is odd the median is the value at position p where
[ p = dfrac{n + 1}{2} ] [ widetilde{x} = x_p ]Wireless net view windows 10. If n is even the median is the average of the values at positions p and p + 1 where
Mode
The value or values that occur most frequently in the data set.
Standard Deviation
[ s = sqrt{dfrac{sum_{i=1}^{n}(x_i - overline{x})^{2}}{n - 1}} ]Variance
[ s^{2} = dfrac{sum_{i=1}^{n}(x_i - overline{x})^{2}}{n - 1} ]Options
54
65
47
59
40
53
54,
65,
47,
59,
40,
53,
or
42, 54, 65, 47, 59, 40, 53
65 47
59 40
53
or
42 54 65 47 59 40 53
54 65, 47,59,
40 53
