Hướng dẫn what is variance in python? - phương sai trong python là gì?

Mô -đun thống kê cung cấp các công cụ rất mạnh mẽ, có thể được sử dụng để tính toán bất cứ điều gì liên quan đến số liệu thống kê. Phương sai () là một trong các hàm như vậy. Hàm này giúp tính toán phương sai từ một mẫu dữ liệu (mẫu là một tập hợp con của dữ liệu dân cư). & NBSP; Chức năng phương sai () chỉ nên được sử dụng khi phương sai của mẫu cần được tính toán. Có một hàm khác được gọi là pvariance (), được sử dụng để tính toán phương sai của toàn bộ dân số. Trong các thống kê thuần túy, phương sai là độ lệch bình phương của một biến so với giá trị trung bình của nó. Về cơ bản, nó đo lường sự lây lan của dữ liệu ngẫu nhiên trong một tập hợp từ giá trị trung bình hoặc trung bình của nó. Giá trị thấp cho phương sai chỉ ra rằng dữ liệu được nhóm lại với nhau và không được phân tách rộng rãi, trong khi giá trị cao sẽ chỉ ra rằng dữ liệu trong tập hợp đã cho nhiều hơn nhiều so với giá trị trung bình. & NBSP; Phương sai là một công cụ quan trọng trong Các ngành khoa học, trong đó phân tích thống kê dữ liệu là phổ biến. Đó là bình phương độ lệch chuẩn của bộ dữ liệu đã cho và còn được gọi là thời điểm trung tâm thứ hai của phân phối. Nó thường được đại diện bởi & nbsp; trong thống kê thuần túy. Varariance được tính bằng công thức sau: & nbsp; & nbsp;variance() is one such function. This function helps to calculate the variance from a sample of data (sample is a subset of populated data).
variance() function should only be used when variance of a sample needs to be calculated. There’s another function known as pvariance(), which is used to calculate the variance of an entire population.
In pure statistics, variance is the squared deviation of a variable from its mean. Basically, it measures the spread of random data in a set from its mean or median value. A low value for variance indicates that the data are clustered together and are not spread apart widely, whereas a high value would indicate that the data in the given set are much more spread apart from the average value.
Variance is an important tool in the sciences, where statistical analysis of data is common. It is the square of standard deviation of the given data-set and is also known as second central moment of a distribution. It is usually represented by

in pure Statistics.
Variance is calculated by the following formula :

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Phương sai trong các thuật ngữ đơn giản là gì?
Làm thế nào để bạn viết phương sai trong Python?
Phương sai là gì?
Phương sai với ví dụ là gì?

Nó được tính toán theo giá trị trung bình của hình vuông bình phương trung bình & nbsp;

Cú pháp: Phương sai ([Dữ liệu], Xbar) tham số: & nbsp; [Dữ liệu]: Một số lặp có số có giá trị thực. & NBSP; Xbar (Tùy chọn) Các giá trị được truyền dưới dạng tham số. Exexceptions: & nbsp; StatisticerError được nâng lên cho dữ liệu-set nhỏ hơn 2 giá trị được truyền dưới dạng tham số. & nbsp; variance( [data], xbar )
Parameters :
[data] : An iterable with real valued numbers.
xbar (Optional) : Takes actual mean of data-set as value.
Returnype : Returns the actual variance of the values passed as parameter.
Exceptions :
StatisticsError is raised for data-set less than 2-values passed as parameter.
Throws impossible values when the value provided as xbar doesn’t match actual mean of the data-set.

Mã số 1: & NBSP;

Python3

import statistics

sample = [

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

1____14

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

1____16

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

1____11

Variance of Sample set is 0.3656666666666667

Variance of Sample set is 0.3656666666666667

Variance of Sample set is 0.3656666666666667

Variance of Sample set is 0.3656666666666667

Variance of Sample set is 0.3656666666666667

Variance of Sample set is 0.3656666666666667

Đầu ra: & nbsp; & nbsp;

Variance of sample set is 0.40924

& nbsp; & nbsp; mã số 2: trình bày phương sai () trên một loạt các loại dữ liệu & nbsp; & nbsp;
Code #2 : Demonstrates variance() on a range of data-types

Python3

Variance of Sample set is 0.3656666666666667

Variance of Sample set is 0.3656666666666667

9import

0.3656666666663053

Variance of Sample set is 0.3656666666666667

0.3656666666663053

3import

0.3656666666663053

Các

[6= [8

0.3656666666663053

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

1____41

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

0222

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Traceback (most recent call last):
  File "/home/64bf6d80f158b65d2b75c894d03a7779.py", line 10, in 
    print(statistics.variance(sample))
  File "/usr/lib/python3.5/statistics.py", line 555, in variance
    raise StatisticsError('variance requires at least two data points')
statistics.StatisticsError: variance requires at least two data points

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

1sample 2

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Traceback (most recent call last):
  File "/home/64bf6d80f158b65d2b75c894d03a7779.py", line 10, in 
    print(statistics.variance(sample))
  File "/usr/lib/python3.5/statistics.py", line 555, in variance
    raise StatisticsError('variance requires at least two data points')
statistics.StatisticsError: variance requires at least two data points

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Các

Variance of Sample set is 0.3656666666666667

Variance of Sample set is 0.3656666666666667

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample set is 0.3656666666666667

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample set is 0.3656666666666667

Variance of Sample set is 0.3656666666666667

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample set is 0.3656666666666667

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample set is 0.3656666666666667

Variance of Sample set is 0.3656666666666667

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample set is 0.3656666666666667

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample set is 0.3656666666666667

Variance of Sample set is 0.3656666666666667

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample set is 0.3656666666666667

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample set is 0.3656666666666667

Variance of Sample set is 0.3656666666666667

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample set is 0.3656666666666667

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Đầu ra: & nbsp; & nbsp;

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

& nbsp; & nbsp; mã số 2: trình bày phương sai () trên một loạt các loại dữ liệu & nbsp; & nbsp;
Code #3 : Demonstrates the use of xbar parameter

Python3

import statistics

sample = [

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

1____14

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

1____16

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

1____11

Đầu ra: & nbsp; & nbsp;

Variance of Sample set is 0.3656666666666667

Variance of Sample set is 0.3656666666666667

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

& nbsp; & nbsp; mã số 2: trình bày phương sai () trên một loạt các loại dữ liệu & nbsp; & nbsp;

Đầu ra: & nbsp; & nbsp;

Variance of Sample set is 0.3656666666666667

& nbsp; & nbsp; mã số 2: trình bày phương sai () trên một loạt các loại dữ liệu & nbsp; & nbsp;
Code #4 : Demonstrates the Error when value of xbar is not same as the mean/average value

Python3

import statistics

sample = [

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

1____14

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

1____16

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

1____11

Đầu ra: & nbsp; & nbsp;

& nbsp; & nbsp; mã số 2: trình bày phương sai () trên một loạt các loại dữ liệu & nbsp; & nbsp;

Đầu ra: & nbsp; & nbsp;

0.3656666666663053

& nbsp; & nbsp; mã số 2: trình bày phương sai () trên một loạt các loại dữ liệu & nbsp; & nbsp;

Code #4 : Demonstrates StatisticsError

Python3

import statistics

sample = [

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

1____14

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

1____16

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

Variance of Sample 1 is 15.80952380952381 
Variance of Sample 2 is 3.5 
Variance of Sample 3 is 61.125 
Variance of Sample 4 is 1/45 
Variance of Sample 5 is 0.17613000000000006

1____11

Variance of Sample set is 0.3656666666666667

Variance of Sample set is 0.3656666666666667

Đầu ra: & nbsp; & nbsp;

Traceback (most recent call last):
  File "/home/64bf6d80f158b65d2b75c894d03a7779.py", line 10, in 
    print(statistics.variance(sample))
  File "/usr/lib/python3.5/statistics.py", line 555, in variance
    raise StatisticsError('variance requires at least two data points')
statistics.StatisticsError: variance requires at least two data points

& nbsp; & nbsp; mã số 2: trình bày phương sai () trên một loạt các loại dữ liệu & nbsp; & nbsp;
Applications :
Variance is a very important tool in Statistics and handling huge amounts of data. Like, when the omniscient mean is unknown (sample mean) then variance is used as biased estimator. Real world observations like the value of increase and decrease of all shares of a company throughout the day cannot be all sets of possible observations. As such, variance is calculated from a finite set of data, although it won’t match when calculated taking the whole population into consideration, but still it will give the user an estimate which is enough to chalk out other calculations.

Phương sai trong các thuật ngữ đơn giản là gì?

Thuật ngữ phương sai đề cập đến một phép đo thống kê về sự lây lan giữa các số trong một tập dữ liệu. Cụ thể hơn, phương sai đo khoảng cách mỗi số trong tập hợp từ trung bình (trung bình) và do đó từ mọi số khác trong tập hợp.a statistical measurement of the spread between numbers in a data set. More specifically, variance measures how far each number in the set is from the mean (average), and thus from every other number in the set.

Làm thế nào để bạn viết phương sai trong Python?

Sử dụng phương sai pvariance () và phương sai () () của Python là các hàm mà chúng ta có thể sử dụng để tính toán phương sai của dân số và của một mẫu tương ứng.Chúng tôi chỉ cần nhập mô -đun thống kê và sau đó gọi pvariance () với dữ liệu của chúng tôi là một đối số.Điều đó sẽ trả lại phương sai của dân số.import the statistics module and then call pvariance() with our data as an argument. That will return the variance of the population.

Phương sai là gì?

Không giống như phạm vi và phạm vi liên vùng, phương sai là thước đo phân tán có tính đến sự lây lan của tất cả các điểm dữ liệu trong một tập dữ liệu.Đó là thước đo phân tán thường được sử dụng nhất, cùng với độ lệch chuẩn, chỉ đơn giản là căn bậc hai của phương sai.a measure of dispersion that takes into account the spread of all data points in a data set. It's the measure of dispersion the most often used, along with the standard deviation, which is simply the square root of the variance.

Phương sai với ví dụ là gì?

Ví dụ về phương sai giá trị trung bình được đưa ra là (3 + 5 + 8 + 1) / 4 = 4.25.Sau đó, bằng cách sử dụng định nghĩa về phương sai, chúng ta nhận được [(3 - 4.25) 2 + (5 - 4.25) 2 + (8 - 4.25) 2 + (1 - 4.25) 2] / 4 = 6.68.Do đó, phương sai = 6,68.² + (5 - 4.25)² + (8 - 4.25)² + (1 - 4.25)²] / 4 = 6.68. Thus, variance = 6.68.

Hướng dẫn what is variance in python? - phương sai trong python là gì?

Python3

Python3

Python3

Python3

Python3

Phương sai trong các thuật ngữ đơn giản là gì?

Làm thế nào để bạn viết phương sai trong Python?

Phương sai là gì?

Phương sai với ví dụ là gì?

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