that is less skewed vs skewed binary sequence

The two phrases are not directly comparable as they convey different meanings. 'That is less skewed' refers to something being less biased or distorted, while 'skewed binary sequence' describes a specific type of sequence with a bias. Therefore, the choice between the two depends on the context and the intended meaning.

Last updated: March 17, 2024 • 537 views

that is less skewed

This phrase is correct and commonly used in English to indicate something that is less biased or distorted.

This phrase is used to compare the level of bias or distortion in something, indicating that it is less pronounced than another.

Examples:

The new data set is less skewed than the previous one.
Her perspective on the issue is less skewed now.
Compared to the original study, the results are less skewed.
The updated algorithm produces less skewed outcomes.
The revised policy aims to create a less skewed distribution of resources.

Show examples from the web [+]

On the other hand, if the data come from a distribution that is less skewed than an exponential distribution, the power to detect increases in the adverse event ...
law that is less skewed than one would expect based on other workload studies. To the best of our knowledge, this is the first extensive ef- fort in this direction.
extremes, the net result is a distribution that is less skewed than in the original model. This is illustrated in Fig. 5, in which p = 0.5 and β = 0.5. When β is raised to ...
... of a variable that is less skewed summary(FlightDelays$FlightLength) #note that median is closer to 1st quartile than to 3rd boxplot(FlightDelays$FlightLength ) ...

Alternatives:

that is more balanced
that is less distorted
that is less biased
that is more even
that is less slanted

skewed binary sequence

This phrase is correct and refers to a binary sequence that is biased or non-uniform in its distribution.

This phrase is used in the context of binary sequences to describe a sequence that is not evenly distributed, showing a bias towards certain values.

Examples:

The algorithm generates a skewed binary sequence.
The data analysis revealed a skewed binary sequence pattern.
Researchers identified a skewed binary sequence in the dataset.
The presence of a skewed binary sequence can affect the accuracy of the results.
The study focused on detecting anomalies in skewed binary sequences.

Alternatives:

biased binary sequence
non-uniform binary sequence
uneven binary sequence
imbalanced binary sequence
non-random binary sequence

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that is less skewed vs skewed binary sequence