variances of data

USAGE SUMMARY

The phrase "variances of data" is correct and usable in written English.
It can be used when discussing the differences or variations found within a set of data points or measurements. Example: "The variances of data collected from the experiment indicate significant differences in the results across different trials."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

3 human-written examples

Furthermore, the datasets were considered appropriate for EFA based on Bartlett tests for homogeneity of variances of data across the years.

Language Testing in Asia

All of the samples for the regular cDNA microarray or SSH/microarray assays were performed with the dye-swapping microarray design for minimizing labeling bias and statistical variances of data.

BMC Genomics

To stabilize the variances of data across the full range of gene expressions, we also performed the generalized log transformation for all the data sets following Durbin et al. [ 16].

BMC Genomics

Human-verified similar examples from authoritative sources

Similar Expressions

57 human-written examples

Descriptive statistics quantify central tendency and variance of data sets.

A Pharmacology Primer Theory, Applications, and Methods

Three factors explain almost the 92% of the total variance of data for all the sites.

Chemistry Central Journal

Homoscedasticity: the variance of data in groups should be the same.  .

International Journal of Geo-Engineering

The remaining dimensions provide less than 0.1% of the total variance of data and hence are ignored during further studies.

Journal of Petroleum Exploration and Production Technology

While PC4, PC5, and PC6 explained 9.005, 7.126, and 6.652% of the total variance of data set, respectively.

Applied Water Science

Remaining factor is weakly dominated to the total variance of data set explains not much impact on groundwater chemistry.

Applied Water Science

Analysis of variance of data showed a high significance of these factors on lactose isomerization into lactulose and the formation of galactose.

International Dairy Journal

MPCA computes a linear subspace representing the variance of data due to the variation of each factor as well as the linear subspace of the image space itself.

EURASIP Journal on Advances in Signal Processing

Expert writing Tips

Best practice

When discussing "variances of data", ensure you specify the context and the type of data involved for clarity. For example, clarify if you are discussing variances across different datasets or within a single dataset.

Common error

Avoid using "variance" and "standard deviation" interchangeably. While related, variance is the square of the standard deviation, and they represent different aspects of data dispersion. Always use the correct term based on the statistical context.

Linguistic Context

The phrase "variances of data" functions as a noun phrase denoting a statistical property. It refers to the degree of dispersion or spread within a dataset. As noted by Ludwig AI, the phrase is grammatically correct and usable.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, the phrase "variances of data" is a grammatically correct and scientifically relevant term used to describe the statistical dispersion within a dataset. As confirmed by Ludwig AI, it is most commonly found in scientific literature and technical reports. While alternatives like "data variability" or "data dispersion" exist, "variances of data" provides a more precise and technical description. Understanding its correct usage is crucial for accurate statistical communication.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data variability

This alternative focuses on the general concept of data having variation.

data dispersion

This term highlights how spread out the data points are.

statistical variations in data

This specifies that the variations are of a statistical nature.

data fluctuations

This suggests that the data changes or wavers.

data inconsistencies

This alternative highlights discrepancies within the dataset.

data deviations

This focuses on how data points diverge from a norm.

data spread

Similar to dispersion, emphasizes the range of values.

data differences

This alternative stresses the existing differences in the data.

data fluctuations

This term denotes changes in the data over time or across samples.

fluctuations of the data

This alternative focuses on temporal instability and variations.

FAQs

How can I describe "variances of data" in simpler terms?

You can use phrases like "data variability", "data dispersion", or "data spread" depending on the specific context. These alternatives are less technical and easier to understand for a general audience.

In what contexts is it appropriate to use the term "variances of data"?

The term "variances of data" is most appropriate in statistical analysis, scientific research, and technical reports where precise language is necessary. In general writing, simpler terms may be preferable.

What's the difference between "variances of data" and "data variation"?

"Variances of data" specifically refers to the statistical measure of dispersion, while "data variation" is a more general term for differences or changes within a dataset. The former is more precise and technical.

How do I test for homogeneity of "variances of data"?

Tests like Bartlett's test, Levene's test, or the Brown-Forsythe test are commonly used to assess whether different groups or samples have equal variances. These tests are crucial for ensuring the validity of certain statistical analyses.