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sample proportion

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "sample proportion" is correct and usable in written English.
It can be used in statistical contexts to refer to the ratio of a specific characteristic within a sample compared to the total number of observations in that sample. Example: "In our study, the sample proportion of participants who preferred option A was 0.65."

✓ Grammatically correct

Science

Encyclopedias

News & Media

Human-verified examples from authoritative sources

Exact Expressions

38 human-written examples

With knowledge of the sampling distribution of the sample proportion, an interval estimate of a population proportion is obtained in much the same fashion as for a population mean.

Encyclopedias

Britannica

20, 21 For each of these countries we used a normal approximation of the sampling distribution of the sample proportion.

A point estimate of the population proportion is given by the sample proportion.

Encyclopedias

Britannica

The sample sizes and sample proportion allocated to each stress level are optimized.

Characteristics of the sample such as the sample mean, the sample variance, and the sample proportion are called sample statistics.

Sandstones are mostly lithic arkoses (sample proportion: 59%%) and feldspathic litharenites (sample proportion: 19 %) (Fig. 3).

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Human-verified similar examples from authoritative sources

Similar Expressions

22 human-written examples

The two-sample proportion test was used for categorical variables.

In contrast, all significant ES-down features were identified by two-sample proportion test.

Data were analyzed by two-sample proportion tests and analysis of variance.

aWilcoxon Rank Sum Test for continuous and 2-sample proportion test for percentages.

The two-sample proportion test was used to compare HCV status and PAT prevalence.

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Expert writing Tips

Best practice

When reporting a "sample proportion", always include the sample size to provide context for the estimate.

Common error

Avoid assuming that the "sample proportion" perfectly represents the population proportion. Always acknowledge the potential for sampling error.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

79%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "sample proportion" functions as a noun phrase, typically serving as the subject or object of a sentence. It is used to quantify the fraction of a sample that possesses a specific attribute or characteristic. Ludwig confirms that it's used in various contexts.

Expression frequency: Common

Frequent in

Science

77%

Encyclopedias

9%

News & Media

7%

Less common in

Formal & Business

7%

Reference

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "sample proportion" is a common term in statistics, used to describe the fraction of a sample that possesses a particular characteristic. As indicated by Ludwig, it is grammatically correct and frequently used in scientific research, encyclopedias, and news media. When using this phrase, be sure to provide the sample size and acknowledge the possibility of sampling error. Related terms include "sampling proportion" and "sample percentage". Remembering these guidelines will help ensure accurate and effective communication of statistical findings.

FAQs

How is "sample proportion" used in statistical analysis?

The "sample proportion" is used as a point estimate of the population proportion and is a key component in calculating confidence intervals and performing hypothesis tests related to population proportions.

What's the difference between "sample proportion" and "population proportion"?

The "sample proportion" is calculated from a sample, while the "population proportion" refers to the true proportion in the entire population. The sample proportion is an estimate of the population proportion.

How do I calculate the "sample proportion"?

The "sample proportion" is calculated by dividing the number of individuals in the sample possessing the characteristic of interest by the total sample size.

When should I use a "sample proportion"?

Use a "sample proportion" when you want to estimate the proportion of a characteristic within a population, based on data collected from a sample of that population.

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Source & Trust

79%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

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