# Standard deviation calculator

For standard deviation calculation, please enter numerical data separated with a comma (or space, tab, semicolon, or newline). For example: 10 20 30 40 50 60 70 80 90 100## Calculation:

Statistical file:{63, 65, 68, 69, 69, 72, 75, 76, 77, 79, 79, 80, 82, 83, 84, 88, 90}

**Standard deviation σ=7.6316587012832**

Corrected sample standard deviation s=7.8665337310137

Corrected sample standard deviation s=7.8665337310137

### Other statistical characteristics:

Average (mean): μ=76.411764705882Absolute deviation: 108.58823529412

Mean deviation: 6.3875432525952

Minimum: 63

Maximum: 90

Variance: 58.242214532872

Standard deviation σ=7.6316587012832

Corrected sample standard deviation s=7.8665337310137

Coefficient of variation c

_{V}=0.10294924821188

Signal-to-noise ratio SNR=9.7135240651966

Median: 77

Quartile Q1: 69

Quartile Q2: 77

Quartile Q3: 82.5

1st decile: 64.6

**(Too few data to calculate deciles)**

2nd decile: 68.6

3rd decile: 70.2

4th decile: 75.2

5th decile: 77

6th decile: 79

7th decile: 81.2

8th decile: 83.4

9th decile: 88.4

Interquartile range IQR: 13.5

Quartile Deviation QD: 6.75

Coefficient of Quartile Deviation CQD: 0.089108910891089

Lower fence: 48.75

Upper fence: 102.75

Set of outliers: {} - empty set - no outliers found

Interdecile range IDR: 23.8

Mode: {69, 79} - multimodal

Geometric mean: 76.026445441703

Harmonic mean: 75.637771930754

Sum: 1299

Sum of squares: 990.11764705882

Sum of absolute values: 1299

Average absolute deviation: 6.3875432525952

Range: 27

Frequency table :

element | frequency | cumulative frequency | relative frequency | cumulative relative frequency |
---|---|---|---|---|

63 | 1 | 1 | 0.058823529411765 | 0.058823529411765 |

65 | 1 | 2 | 0.058823529411765 | 0.11764705882353 |

68 | 1 | 3 | 0.058823529411765 | 0.17647058823529 |

69 | 2 | 5 | 0.11764705882353 | 0.29411764705882 |

72 | 1 | 6 | 0.058823529411765 | 0.35294117647059 |

75 | 1 | 7 | 0.058823529411765 | 0.41176470588235 |

76 | 1 | 8 | 0.058823529411765 | 0.47058823529412 |

77 | 1 | 9 | 0.058823529411765 | 0.52941176470588 |

79 | 2 | 11 | 0.11764705882353 | 0.64705882352941 |

80 | 1 | 12 | 0.058823529411765 | 0.70588235294118 |

82 | 1 | 13 | 0.058823529411765 | 0.76470588235294 |

83 | 1 | 14 | 0.058823529411765 | 0.82352941176471 |

84 | 1 | 15 | 0.058823529411765 | 0.88235294117647 |

88 | 1 | 16 | 0.058823529411765 | 0.94117647058824 |

90 | 1 | 17 | 0.058823529411765 | 1 |

Count items: 17

Calculation of normal distribution

Sorted statistic file: {63, 65, 68, 69, 69, 72, 75, 76, 77, 79, 79, 80, 82, 83, 84, 88, 90}

### How do you enter data as a frequency table?

Simple. Write data elements (separated by spaces or commas, etc.), then write f: and further write the frequency of each data item. Each element must have a defined frequency that counts numbers before and after the symbol f: must be equal. For example:1.1 2.5 3.99

f: 5 10 15

### How to enter grouped data?

Grouped data are formed by aggregating individual data into groups so that a frequency distribution of these groups serves as a convenient means of summarizing or analyzing the data.group | frequency |

10-20 | 5 |

20-30 | 10 |

30-40 | 15 |

10-20 20-30 30-40

f: 5 10 15

### How to enter data as a cumulative frequency table?

Similar to a frequency table, but instead, f: write cf: in the second line. For example:10 20 30 40 50 60 70 80

cf: 5 13 20 32 60 80 90 100

The cumulative frequency is calculated by adding each frequency from a frequency distribution table to the sum of its predecessors. The last value will always equal the total for all observations since the calculator will have already added all frequencies to the previous total.

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