Varians Populasi Kalkulator

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What Is Population Variance?

Population variance, written σ², describes the spread of a group when you have measured every member of it. There is nothing to estimate, so you take the average of the squared deviations from the mean exactly as it is: divide by N, the number of values. Typical examples are the marks of every student in one class, the weight of every parcel in a single shipment you weighed in full, or one company's monthly sales for a completed year. The key question is not how big your data set is, but whether it is the whole group you want to describe.

Worked Example: A Complete Tutorial Group

A tutor has exactly six students and wants to describe how spread out their test scores are. These six scores are the entire group, so population variance applies.

Data (marks):70, 85, 75, 90, 65, 95

  1. Mean. x̄ = 480 / 6 = 80
  2. Deviations and squares. Subtract the mean from each value and square the result:
xᵢxᵢ − x̄(xᵢ − x̄)²
70−10100
85525
75−525
9010100
65−15225
9515225
Sum0700
  1. Sum of squares. Σ(xᵢ − x̄)² = 700
  2. Population variance. σ² = 700 / 6 = 116.6667; population standard deviation σ = √116.6667 = 10.8012

Population variance σ² = 700 / 6 ≈ 116.67, so the population standard deviation is σ ≈ 10.80 marks. If the same six scores were treated as a sample, s² = 700 / 5 = 140; the gap between the two answers is largest for small groups like this one.

Formula

Population variance uses the population mean μ and divides by N:

Population Variance

σ² = Σ(xᵢ − μ)² / N
  • σ²Population variance
  • xᵢEach value in the population
  • μPopulation mean
  • NNumber of values in the population

Population Standard Deviation

σ = √σ²
  • σPopulation standard deviation, in the original units

How to Calculate Population Variance Step by Step

  1. Confirm you have the entire population.Every member of the group you are describing must be in the data.
  2. Find the population mean (μ).Add all values and divide by N.
  3. Compute deviations.Subtract μ from each value.
  4. Square each deviation.Calculate (xᵢ − μ)².
  5. Add the squared deviations.Σ(xᵢ − μ)² is the sum of squares.
  6. Divide by N.σ² = Σ(xᵢ − μ)² / N.

More Population Variance Examples

1All Students in a Class

Data:78, 82, 91, 67, 85, 73, 88, 79
Solution:Mean μ = 80.375. Sum of squared deviations = 435.875.
Answer:Population variance (σ²) = 435.875 / 8 ≈ 54.48

2Every Product in a Small Batch

Data:10.2, 10.0, 10.1, 10.3, 10.0
Solution:Mean μ = 10.12. Sum of squared deviations = 0.068.
Answer:Population variance (σ²) = 0.068 / 5 = 0.0136

3Complete Inventory Count

Data:150, 200, 175, 180, 195
Solution:Mean μ = 180. Squared deviations: 900, 400, 25, 0, 225. Sum of squares = 1550.
Answer:Population variance (σ²) = 1550 / 5 = 310

4All Employees' Years of Experience

Data:2, 5, 8, 3, 12, 1, 7
Solution:Mean μ ≈ 5.43. Sum of squared deviations ≈ 89.71.
Answer:Population variance (σ²) ≈ 89.71 / 7 ≈ 12.82

How to Use This Population Variance Calculator

Switch the calculator to Population, then:

  1. Enter every value in the population, separated by commas, spaces or line breaks.
  2. Check that the result card says Population Variance (σ²).
  3. Read σ², the population standard deviation σ and the mean μ.
  4. Open the calculation steps to see the division by N written out with your numbers.

What the Calculator Shows You

  • The exact population variance and standard deviation, with no correction applied.
  • The sample figure for the same data, so you can see the difference if you are unsure which applies.
  • Every deviation and squared deviation.
  • Calculations run in your browser; your numbers are not sent anywhere.

When to Use Population Variance

A single class or team

A teacher describing the spread of marks for the class they actually taught.

Census data

Statistics about a population that has been counted in full.

Inspected-in-full batches

When every unit in a lot has been measured, not just a few.

Completed periods

Describing last year's twelve monthly figures as they are, without predicting anything.

Probability distributions

The variance of a die roll or another fully specified distribution is a population variance.

Population or Sample? How to Decide

Size does not decide it. What matters is which group your conclusions are about:

It depends on your question

If you are describing "all students in Section A", Section A's marks are the population. If you are describing "all students at the university", Section A is a sample.

Describing versus predicting

Last year's monthly sales are a population if you only want to describe last year. If you are using them to say something about future months, treat them as a sample.

Same data, two answers

For the tutorial group above, σ² ≈ 116.67 but s² = 140. With 600 values instead of 6 the two would be almost identical.

When in doubt, use sample variance

Most real data is a sample of something larger, and the n − 1 version will not understate the spread.

Soalan Lazim: Varians Populasi Kalkulator

Semua yang anda perlu tahu tentang varians.

Apakah varians populasi?

Varians populasi (σ²) mengukur sebaran tepat titik data daripada min populasi (μ). Formulanya ialah σ² = Σ(xᵢ − μ)² / N, dengan N ialah jumlah bilangan titik data dalam populasi. Tidak seperti varians sampel, ia membahagi dengan N (bukan N−1) kerana anda mempunyai semua data — tiada anggaran atau pembetulan diperlukan.

Bilakah saya harus menggunakan varians populasi?

Gunakan varians populasi apabila set data anda termasuk setiap ahli populasi yang anda pelajari. Contoh: semua pelajar dalam kelas, setiap produk dalam satu kelompok, data banci lengkap, semua transaksi dalam satu tempoh masa. Jika anda mempunyai sampel (subset) daripada populasi yang lebih besar, gunakan varians sampel. Soalan utama ialah: adakah data anda mewakili kumpulan lengkap?

Apakah varians populasi bagi 2, 4, 4, 4, 5, 5, 7, 9?

Untuk 2, 4, 4, 4, 5, 5, 7, 9: Min (μ) = 40/8 = 5. Sisihan: −3, −1, −1, −1, 0, 0, 2, 4. Kuadrat: 9, 1, 1, 01, 4, 2, 3 Varians populasi (σ²) = 32/8 = 4. Sisihan piawai populasi (σ) = √4 = 2.

Apakah perbezaan antara σ² dan s²?

σ² (varians populasi) membahagi dengan N dan menggunakan min populasi μ. s² (varian sampel) membahagi dengan n−1 dan menggunakan min sampel x̄. Varians sampel sentiasa lebih besar sedikit daripada varians populasi untuk set data yang sama. Perbezaan ini (pembetulan Bessel) paling penting untuk set data yang kecil dan menjadi diabaikan untuk N yang besar.

Bolehkah varians populasi menjadi sifar?

Ya, varians populasi bersamaan dengan sifar apabila semua nilai adalah sama. Jika setiap titik data dalam populasi mempunyai nilai yang sama (mis., {7, 7, 7, 7}), maka setiap sisihan daripada min ialah sifar, menjadikan σ² = 0. Ini menunjukkan kebolehubahan sifar — tiada sebaran sama sekali. Sebarang perbezaan antara nilai menghasilkan varians positif.

Bagaimana untuk mencari varians populasi dalam Excel?

Dalam Excel, gunakan =VAR.P(julat) untuk varians populasi. Contoh: =VAR.P(A1:A20). Untuk sisihan piawai populasi, gunakan =STDEV.P(julat). Dalam Helaian Google, fungsi yang sama berfungsi. Dalam Python: np.var(data) (lalai ialah varians populasi dalam NumPy). Dalam R: var(x) * (n-1)/n kerana var() R lalai kepada varians sampel.