What is the difference between STDEV.S and STDEV.P

What is the difference between STDEV.S and STDEV.P?

(a) STDEV.S calculates standard deviation of a sample; STDEV.P calculates the standard deviation of a population.

(b) STDEV.P calculates the standard deviation of a population; STDEV.S calculates average variation.

(c) STDEV.P calculates the standard deviation of a population; STDEV.S calculates variance.

(d) There is no difference.

The Correct Answer and Explanation is :

The correct answer is: **(a) STDEV.S calculates the standard deviation of a sample; STDEV.P calculates the standard deviation of a population.**

In statistical analysis, standard deviation quantifies the dispersion or variability of a dataset relative to its mean. Microsoft Excel provides two distinct functions to compute standard deviation, tailored to the nature of your dataset:

  1. **STDEV.S (Sample Standard Deviation):**
    • Purpose: Calculates the standard deviation for a sample subset of a larger population.
    • **Formula:** s=∑i=1n(xi−xˉ)2n−1s = \sqrt{\frac{\sum_{i=1}^n (x_i – \bar{x})^2}{n – 1}}
      • ss: Sample standard deviation
      • nn: Sample size
      • xix_i: Each individual observation
      • xˉ\bar{x}: Sample mean
    • Usage: Employ STDEV.S when your data represents a sample, and you aim to infer the standard deviation of the entire population. Dividing by n−1n – 1 (Bessel’s correction) provides an unbiased estimate, compensating for the fact that the sample mean is an estimate of the population mean.
  2. **STDEV.P (Population Standard Deviation):**
    • Purpose: Calculates the standard deviation for an entire population dataset.
    • **Formula:** σ=∑i=1N(xi−μ)2N\sigma = \sqrt{\frac{\sum_{i=1}^N (x_i – \mu)^2}{N}}
      • σ\sigma: Population standard deviation
      • NN: Population size
      • xix_i: Each individual observation
      • μ\mu: Population mean
    • Usage: Use STDEV.P when your dataset encompasses the entire population. Dividing by NN provides the exact standard deviation without the need for correction, as there’s no estimation involved.

Key Differences:

  • **Denominator Adjustment:**
    • STDEV.S divides by n−1n – 1 to correct bias in the estimation of the population standard deviation from a sample.
    • STDEV.P divides by NN since it deals with the full population, requiring no correction.
  • **Application Context:**
    • STDEV.S: Appropriate for sample data, providing an estimate of the population’s standard deviation.
    • STDEV.P: Suitable for complete population data, yielding the actual standard deviation.

Practical Implications:

Choosing the correct function is crucial for accurate statistical analysis. Applying STDEV.P to sample data can underestimate variability, while using STDEV.S for population data can overestimate it. Understanding your dataset’s scope ensures the selection of the appropriate function, leading to valid and reliable results.

For a more in-depth understanding, you might find the following video helpful:

videoUnderstanding Sample (STDEV.S) and Population (STDEV.P) Standard Deviation in Excelturn0search11

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