We wish to mark all values in our dataset (v) in red below such that v < -51 or v > 117
1,6,21,33,34,36,38,41,45,74,82,90
Calculate weighted average
36,1,74,82,45,34,41,38,6,21,90,33
Weighted-Average Formula:
Multiply each value by each probability amount
We do this by multiplying each Xi x pi to get a weighted score Y
| Weighted Average = | X1p1 + X2p2 + X3p3 + X4p4 + X5p5 + X6p6 + X7p7 + X8p8 + X9p9 + X10p10 + X11p11 + X12p12 |
| n |
| Weighted Average = | 36 x + 1 x + 74 x + 82 x + 45 x + 34 x + 41 x + 38 x + 6 x + 21 x + 90 x + 33 x |
| 12 |
| Weighted Average = | 0 + 0 + 0 + 0 + 0 + 0 + 0 + 0 + 0 + 0 + 0 + 0 |
| 12 |
| Weighted Average = | 0 |
| 12 |
Weighted Average = 0
Frequency Distribution Table
Show the freqency distribution table for this number set
1, 6, 21, 33, 34, 36, 38, 41, 45, 74, 82, 90
Determine the Number of Intervals using Sturges Rule:
We need to choose the smallest integer k such that 2k ≥ n where n = 12
For k = 1, we have 21 = 2
For k = 2, we have 22 = 4
For k = 3, we have 23 = 8
For k = 4, we have 24 = 16 ← Use this since it is greater than our n value of 12
Therefore, we use 4 intervals
Our maximum value in our number set of 90 - 1 = 89
Each interval size is the difference of the maximum and minimum value divided by the number of intervals
| Interval Size = | 89 |
| 4 |
Add 1 to this giving us 22 + 1 = 23
Frequency Distribution Table
| Class Limits | Class Boundaries | FD | CFD | RFD | CRFD |
|---|---|---|---|---|---|
| 1 - 24 | 0.5 - 24.5 | 3 | 3 | 3/12 = 25% | 3/12 = 25% |
| 24 - 47 | 23.5 - 47.5 | 6 | 3 + 6 = 9 | 6/12 = 50% | 9/12 = 75% |
| 47 - 70 | 46.5 - 70.5 | 3 + 6 + = 9 | /12 = 0% | 9/12 = 75% | |
| 70 - 93 | 69.5 - 93.5 | 3 | 3 + 6 + + 3 = 12 | 3/12 = 25% | 12/12 = 100% |
| 12 | 100% |
Successive Ratio Calculation
Go through our 12 numbers
Determine the ratio of each number to the next one
Successive Ratio 1: 1,6,21,33,34,36,38,41,45,74,82,90
1:6 → 0.1667
Successive Ratio 2: 1,6,21,33,34,36,38,41,45,74,82,90
6:21 → 0.2857
Successive Ratio 3: 1,6,21,33,34,36,38,41,45,74,82,90
21:33 → 0.6364
Successive Ratio 4: 1,6,21,33,34,36,38,41,45,74,82,90
33:34 → 0.9706
Successive Ratio 5: 1,6,21,33,34,36,38,41,45,74,82,90
34:36 → 0.9444
Successive Ratio 6: 1,6,21,33,34,36,38,41,45,74,82,90
36:38 → 0.9474
Successive Ratio 7: 1,6,21,33,34,36,38,41,45,74,82,90
38:41 → 0.9268
Successive Ratio 8: 1,6,21,33,34,36,38,41,45,74,82,90
41:45 → 0.9111
Successive Ratio 9: 1,6,21,33,34,36,38,41,45,74,82,90
45:74 → 0.6081
Successive Ratio 10: 1,6,21,33,34,36,38,41,45,74,82,90
74:82 → 0.9024
Successive Ratio 11: 1,6,21,33,34,36,38,41,45,74,82,90
82:90 → 0.9111
Successive Ratio Answer
Successive Ratio = 1:6,6:21,21:33,33:34,34:36,36:38,38:41,41:45,45:74,74:82,82:90 or 0.1667,0.2857,0.6364,0.9706,0.9444,0.9474,0.9268,0.9111,0.6081,0.9024,0.9111
Final Answers
6,1,10,11,9,5,8,7,2,3,12,4
RMS = 49.555524414539
Harmonic Mean = 8.5014357092882Geometric Mean = 27.59377778885
Mid-Range = 45.5
Weighted Average = 0
Successive Ratio = Successive Ratio = 1:6,6:21,21:33,33:34,34:36,36:38,38:41,41:45,45:74,74:82,82:90 or 0.1667,0.2857,0.6364,0.9706,0.9444,0.9474,0.9268,0.9111,0.6081,0.9024,0.9111
You have 1 free calculations remaining
What is the Answer?
6,1,10,11,9,5,8,7,2,3,12,4
RMS = 49.555524414539
Harmonic Mean = 8.5014357092882Geometric Mean = 27.59377778885
Mid-Range = 45.5
Weighted Average = 0
Successive Ratio = Successive Ratio = 1:6,6:21,21:33,33:34,34:36,36:38,38:41,41:45,45:74,74:82,82:90 or 0.1667,0.2857,0.6364,0.9706,0.9444,0.9474,0.9268,0.9111,0.6081,0.9024,0.9111
How does the Basic Statistics Calculator work?
Free Basic Statistics Calculator - Given a number set, and an optional probability set, this calculates the following statistical items:
Expected Value
Mean = μ
Variance = σ2
Standard Deviation = σ
Standard Error of the Mean
Skewness
Mid-Range
Average Deviation (Mean Absolute Deviation)
Median
Mode
Range
Pearsons Skewness Coefficients
Entropy
Upper Quartile (hinge) (75th Percentile)
Lower Quartile (hinge) (25th Percentile)
InnerQuartile Range
Inner Fences (Lower Inner Fence and Upper Inner Fence)
Outer Fences (Lower Outer Fence and Upper Outer Fence)
Suspect Outliers
Highly Suspect Outliers
Stem and Leaf Plot
Ranked Data Set
Central Tendency Items such as Harmonic Mean and
Geometric Mean and Mid-Range
Root Mean Square
Weighted Average (Weighted Mean)
Frequency Distribution
Successive Ratio
This calculator has 2 inputs.
What 8 formulas are used for the Basic Statistics Calculator?
Successive Ratio = n1/n0
μ = ΣXi/n
Mode = Highest Frequency Number
Mid-Range = (Maximum Value in Number Set + Minimum Value in Number Set)/2
Quartile: V = y(n + 1)/100
σ2 = ΣE(Xi - μ)2/n
For more math formulas, check out our Formula Dossier
What 20 concepts are covered in the Basic Statistics Calculator?
- average deviation
- Mean of the absolute values of the distance from the mean for each number in a number set
- basic statistics
- central tendency
- a central or typical value for a probability distribution. Typical measures are the mode, median, mean
- entropy
- refers to disorder or uncertainty
- expected value
- predicted value of a variable or event
E(X) = ΣxI · P(x) - frequency distribution
- frequency measurement of various outcomes
- inner fence
- ut-off values for upper and lower outliers in a dataset
- mean
- A statistical measurement also known as the average
- median
- the value separating the higher half from the lower half of a data sample,
- mode
- the number that occurs the most in a number set
- outer fence
- start with the IQR and multiply this number by 3. We then subtract this number from the first quartile and add it to the third quartile. These two numbers are our outer fences.
- outlier
- an observation that lies an abnormal distance from other values in a random sample from a population
- quartile
- 1 of 4 equal groups in the distribution of a number set
- range
- Difference between the largest and smallest values in a number set
- rank
- the data transformation in which numerical or ordinal values are replaced by their rank when the data are sorted.
- sample space
- the set of all possible outcomes or results of that experiment.
- standard deviation
- a measure of the amount of variation or dispersion of a set of values. The square root of variance
- stem and leaf plot
- a technique used to classify either discrete or continuous variables. A stem and leaf plot is used to organize data as they are collected. A stem and leaf plot looks something like a bar graph. Each number in the data is broken down into a stem and a leaf, thus the name.
- variance
- How far a set of random numbers are spead out from the mean
- weighted average
- An average of numbers using probabilities for each event as a weighting