Examples of 'chi-squared test' in a sentence
Meaning of "chi-squared test"
Chi-squared test is a statistical test used to determine if there is a significant association between categorical variables. It measures the difference between observed and expected frequencies
How to use "chi-squared test" in a sentence
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chi-squared test
The chi-squared test was used to compare proportions.
Independence of each group was tested by chi-squared test.
The chi-squared test was used to compare prevalence.
Categorical variables were compared using the chi-squared test.
Chi-squared test for variance in a normal population.
Trends were analyzed using chi-squared test for categorical variables.
A chi-squared test may for example be used.
Fit to the equilibrium was checked with the chi-squared test.
Example chi-squared test for categorical data.
Comparisons between samples were performed using the chi-squared test.
Pearson s chi-squared test was used to compare categorical variables.
Categorical variables were analyzed by the chi-squared test a measure of association.
The chi-squared test was used to compare categorical variables.
We used the comparative statistical analysis through the chi-squared test.
The chi-squared test was used to compare symptom frequency.
See also
Pearson introduced the correlation coefficient and the chi-squared test.
The chi-squared test was used to determine statistical significance.
The thermal sensitivity nominal scale was compared using the chi-squared test.
The chi-squared test was utilized for qualitative variables.
Categorical variables are presented as number percentage and were compared by the chi-squared test.
The chi-squared test was utilized to evaluate the categorical variables.
Univariable analysis for categorical variables was achieved with the chi-squared test.
Chi-squared test was used for the analysis of categorical variables.
The results were compared using the chi-squared test and by logistic regression analysis.
The chi-squared test was used for comparison of categorical variables.
The statistical treatment analyzed data from frequency distribution and chi-squared test.
The chi-squared test was used for the comparison of the proportions.
The frequency of binary variables in different subgroups was compared using the chi-squared test.
The Chi-Squared test was used to compare the frequencies of the categorical variables.
Nominal data were expressed as frequency and percentage and were compared using chi-squared test.
The chi-squared test was utilized to check for possible associations between variables.
Categorical and ordinal qualitative variables were submitted to analysis via the chi-squared test.
We used the chi-squared test for proportions to determine the significance of differences between sexes.
Categorical variables will be described as absolute frequencies and compared by the chi-squared test.
Pearson 's chi-squared test was used to compare the categorical variables demographic data of the groups.
Categorical variables were expressed as frequencies and percentages and compared using the chi-squared test.
The chi-squared test was used to assess statistical differences between proportions and possible associations.
Categorical variables were described as frequencies and percentages and compared with the chi-squared test.
The chi-squared test indicates the difference between observed and expected covariance matrices.
Categorical variables were presented as absolute and relative frequencies, and compared using the chi-squared test.
The chi-squared test for independence was used for comparisons between groups, based on categorical variables.
The demographic data and procedure variables were analyzed using the t-test or the chi-squared test.
A Chi-squared test was used to assess the differences in the ratios.
For categorical response variables, differences between the two groups were assessed using the chi-squared test.
The chi-squared test or Fisher 's test were used to compare categorical variables.
Data analyses involved student t test for independent samples, chi-squared test and proportion comparison test.
The Chi-squared test was used for comparing the two qualitative variables.
Other analyses were done with Pearsons chi-squared test.
Descriptive statistics and Chi-squared test of independence were used to analyse data.
The qualitative variables were compared using a Chi-squared test.
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