a test of normality

USAGE SUMMARY

The phrase "a test of normality" is correct and usable in written English.
It can be used in statistical contexts to refer to a procedure that assesses whether a dataset follows a normal distribution. Example: "Before conducting the analysis, we performed a test of normality to ensure the data met the assumptions of the statistical model."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

7 human-written examples

Prior to further analysis, a test of normality was run, and the data were normally distributed.

Clinical interventions in aging

A test of normality performed on data on soil characteristics showed non-normal distribution.

Environmental Systems Research

A test of normality was also conducted for PTH.

BMC Endocrine Disorders

A test of normality was conducted (sktest; Stata Corporation 1997), which simultaneously tests for skewness and kurtosis.

Behavior Genetics

In the first instance, descriptive statistics (ie, mean, SD), a test of normality and a test of homogeneity of variance were performed.

BMJ Open

Metabolite concentrations were log-transformed since a test of normality showed that in most cases the log-transformed concentrations were closer to a normal distribution than the untransformed values.

European Journal of Epidemiology

Human-verified similar examples from authoritative sources

Similar Expressions

53 human-written examples

Data was tested for heterogeneity using Chi2, and graphically using normal-quantile plot as a test of the normality of the distributions and funnel plots of the variable vs. year of study.

Plosone

A test of multivariate normality was used to determine the skewness of data to be used during CFA (41).

Global Health Action

Following a test of statistical normality, data values are presented as mean ± SD or as median and interquartile range (IQR).

Cardiovascular Diabetology

For the ANCOVA analyses, a test of the normality assumption for the dependent measure is performed by examining distribution of residuals.

BMC Geriatrics

The continuous variable results are presented as means ± standard deviations or as medians with interquartile ranges based on the results of a test of the normality of the distribution using a one-sample Kolmogorov-Smirnov test.

BMC Anesthesiology

Expert writing Tips

Best practice

When reporting statistical results, clearly state which "a test of normality" was used (e.g., Shapiro-Wilk, Kolmogorov-Smirnov) and the corresponding p-value.

Common error

Avoid proceeding with parametric tests without addressing non-normality. If "a test of normality" reveals a non-normal distribution, consider transformations or non-parametric alternatives.

Linguistic Context

A test of normality functions as a noun phrase designating a statistical procedure. It's primarily used to verify if a dataset's distribution aligns with a normal distribution, a crucial assumption for many parametric statistical tests. As Ludwig AI indicates, it's grammatically correct and usable.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, "a test of normality" is a noun phrase used in statistics to describe procedures that assess whether a dataset follows a normal distribution. Ludwig AI confirms its grammatical correctness. Predominantly used in formal and scientific contexts, especially in academic research, it helps researchers determine the appropriate statistical methods for data analysis. Common alternatives include "normality testing" and "assessment of normality". Remember to clearly report the specific test used and the p-value, and address non-normality by transforming data or using non-parametric alternatives.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

normality testing

Rephrasing focusing on the action of testing itself, shortening the expression.

assessment of normality

Uses "assessment" instead of "test", changing the noun but retaining the core meaning.

checking for normal distribution

Focuses on the purpose of the test, which is to check for a normal distribution.

normality evaluation

Replaces "test" with "evaluation", providing a more formal tone.

evaluating normality

Emphasizes the process of evaluating, suitable when the focus is on the evaluation procedure.

determining normality

Highlights the goal of finding out if the data is normally distributed.

normality examination

Uses examination as a synonym for test, making the phrase slightly more formal.

analysis of normality

Focuses on the analytical aspect of assessing normality.

verifying normal distribution

Highlights the verification aspect of checking the distribution.

investigation of normality

Implies a more in-depth study of whether the data is normally distributed.

FAQs

How do I use "a test of normality" in a sentence?

You can use "a test of normality" to describe the process of assessing whether data follows a normal distribution. For example: "We performed "a test of normality" before conducting the t-test".

What are some common types of "a test of normality"?

Common tests include the Shapiro-Wilk test, Kolmogorov-Smirnov test, and the Anderson-Darling test. The choice of test depends on the sample size and the characteristics of the data.

What should I do if "a test of normality" fails?

If the test fails, indicating non-normality, you might consider transforming the data, using non-parametric tests, or bootstrapping methods. It's crucial to address non-normality to ensure the validity of subsequent statistical analyses.

Is "a test of normality" always necessary before conducting statistical analysis?

Not always. Many statistical tests assume normality, so it's important to check if that assumption is met. However, some tests are robust to violations of normality, especially with large sample sizes. Always consider the specific requirements of the statistical methods you plan to use.