total number of observations

USAGE SUMMARY

The phrase "total number of observations" is correct and usable in written English.
It can be used in contexts such as research, data analysis, or statistics when referring to the complete count of data points collected. Example: "The total number of observations in this study was 500, which provided a robust dataset for analysis."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Instead, error probabilities are directly calculated by dividing the observed sequencing errors by total number of observations defined by the joint variables.

BMC Genomics

Our goal is to infer from observed at discrete time instances, where denotes the total number of observations.

EURASIP Journal on Advances in Signal Processing

Total number of observations: 755.

Latin American Economic Review

The total number of observations is 285.

Business Research

It also prevails when the total number of observations is small.

Developments in Soil Science

The total number of observations are 32,476 including 15,532 males and 16,955 females.

Landscape and Urban Planning

In this example case we have heavy censoring relative to the total number of observations.

Journal of Statistical Distributions and Applications

The total number of observations is conditional on having information on Duke Admissions Office Rank.

IZA Journal of Labor Economics

The total number of observations from the two periods and eleven countries amounts to 53,931.

Health Economics Review

The total number of observations recorded for each group was 60.

Research and Practice in Technology Enhanced Learning

where m i is total number of observations of the i th class.

EPJ Techniques and Instrumentation

Expert writing Tips

Best practice

When reporting statistical results, always explicitly state the "total number of observations" to provide context for the findings. This allows readers to assess the robustness and generalizability of your analysis.

Common error

Avoid reporting percentages or averages without specifying the "total number of observations". This omission can make it difficult to interpret the results and assess their significance.

Linguistic Context

The phrase "total number of observations" functions as a noun phrase, typically serving as the subject or object of a sentence. It denotes the complete count of data points or measurements collected in a study or experiment. As Ludwig AI indicates, the phrase is commonly used and accepted in written English.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, the phrase "total number of observations" is a grammatically correct and very common noun phrase used primarily in scientific and statistical contexts. According to Ludwig, the expression effectively communicates the quantity of data points in a study, providing essential context for analysis and interpretation. While alternative phrases exist, such as "overall count of observations", the original phrase remains a standard and widely accepted term. When writing, explicitly stating the "total number of observations" helps ensure clarity and allows readers to accurately assess the validity and generalizability of your findings. The high frequency of use in scientific literature underlines its importance in communicating quantitative data effectively. Ludwig AI confirms the correctness and usability of this phrase, making it a reliable choice for formal writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

overall count of observations

Replaces "total number" with "overall count", maintaining the meaning but using different wording.

aggregate number of observations

Substitutes "total" with "aggregate", which emphasizes the combined nature of the count.

total count of data points

Replaces "observations" with "data points", focusing on the individual pieces of information.

total sample size

Uses "sample size" to refer to the total number of observations in a sample.

overall quantity of data

Replaces "number of observations" with "quantity of data", shifting the focus to the amount of information.

complete set of observations

Emphasizes the completeness of the observation set, replacing "total number" with "complete set".

entire collection of data

Replaces "observations" with "collection of data", focusing on the data as a whole.

sum total of observations

Adds emphasis by using "sum total" instead of just "total".

the total data volume

Refers to quantity instead of number. Good when you want to put emphasis on bulk.

the grand total of measurements

The word "measurements" replace "observations". Good when you want to specify a set of quantities.

FAQs

How is the "total number of observations" used in statistical analysis?

The "total number of observations" is crucial for calculating statistical power, assessing the reliability of results, and determining the generalizability of findings. It's a fundamental element in hypothesis testing and confidence interval estimation.

What is the difference between "total number of observations" and sample size?

In many contexts, "total number of observations" and sample size are used interchangeably. However, the "total number of observations" might refer to the combined data points across multiple samples or groups, while sample size typically refers to the number of individual units within a single sample.

How do I calculate the percentage if I know the "total number of observations"?

To calculate a percentage, divide the number of occurrences of the event you're interested in by the "total number of observations", then multiply by 100. For example, if 50 out of 200 observations exhibit a certain trait, the percentage is (50/200) * 100 = 25%.

What are some alternatives to "total number of observations"?

You can use alternatives like "overall count of observations", "aggregate number of observations", or "total count of data points" depending on the specific context.