Chi-square Table
Chi-square Table - Related Videos
01:10
Chi-square Distribution
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2023
How does one determine if bingo numbers are evenly distributed or if some numbers occurred with a greater frequency? Or if the types of movies people preferred were different across different age groups or if a coffee machine dispensed approximately the same amount of coffee each time. These questions can be addressed by conducting a hypothesis test. One distribution that can be used to find answers to such questions is known as the chi-square distribution. The chi-square distribution has...
02:46
Chi-square Analysis
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2021
The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values. The chi-square test was developed by Pearson in 1990. The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
01:18
Finding Critical Values for Chi-Square
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2025
Consider a curve representing sample data drawn randomly from a normally distributed population. One must construct confidence intervals to estimate or to test a claim regarding the population standard deviation. For example, a 95% confidence interval covers 95% of the area under the curve, and the remaining 5% is equally distributed on either side of the curve. To achieve such confidence intervals, one must determine the critical values. The critical values are simply the values separating the...
05:06
Effects of Mindfulness Training Combined with Tai Chi in Patients with Diabetic Peripheral Neuropathy
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Cited by 5 •
2023
When studying exercise for treating diabetic peripheral neuropathy (DPN), achieving mind-body exercise is essential. This study proposes a protocol for mindfulness training combined with Tai Chi to achieve mind-body exercise.
01:12
Flow Table Test
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2024
The flow table test is an established method used to assess the workability of concrete, particularly useful for evaluating highly flowable concrete mixes. This test employs an apparatus that consists of a wooden board topped with a steel plate, collectively weighing 35 pounds. The board is connected to a base via a hinge and measures 27.6 inches on each side. Concrete is placed within a truncated cone mold that is 8 inches high with an 8-inch base diameter and a 5-inch top diameter. The...
FAQs
The significance level determines which column of a chi-square table you consult, so the same test statistic can lead to different decisions under different chosen thresholds. Researchers should select the significance level before interpreting the result, then compare the calculated statistic with the critical value associated with that level and the correct degrees of freedom.
Degrees of freedom determine the specific table entry used for comparison. They must be identified from the design of the chi-square analysis before the critical value is read; using an incorrect value can pair the test statistic with the wrong cutoff. This is why calculating the statistic alone is insufficient for interpreting a chi-square result.
Interpretation depends on the relationship between the calculated statistic and its table value, not on the statistic in isolation. When the statistic exceeds the relevant critical value, the result supports rejecting the null hypothesis under the selected significance level; otherwise, the comparison does not provide that basis for rejection. The conclusion combines all three factors.
Although the same reference framework appears across chi-square analyses, the underlying question differs. A test of independence examines whether categorical variables are associated, goodness-of-fit evaluates how observed results align with an expected pattern, and a test of variance addresses variability. The degrees of freedom and calculated statistic must match the specific analysis before table lookup.
Begin by calculating the chi-square test statistic, then determine the degrees of freedom and select the significance level required for the analysis. Locate the intersection of that level and degrees of freedom in the table, and compare the statistic with the listed critical value. This sequence keeps the numerical result connected to the correct decision criterion.
For categorical-data studies, the table helps evaluate whether an observed association between variables is unlikely to have occurred by chance. The researcher uses the statistic produced by the independence analysis, matches its degrees of freedom and significance level to the table, and bases the conclusion on the comparison. Thus, the table supports interpretation rather than replacing the analysis.
In a goodness-of-fit analysis, the reference value helps place the difference between observed results and an expected pattern into a significance framework. After calculating the chi-square statistic, the researcher identifies the relevant degrees of freedom and significance level before consulting the table. The comparison indicates whether the observed departure is sufficient to reject the null hypothesis.
For a test of variance, the table provides the critical benchmark used to interpret the calculated chi-square statistic. Its role is to connect the observed variability with a null-hypothesis decision at a selected significance level and degrees of freedom. This application shows that chi-square tables extend beyond categorical association and goodness-of-fit questions within statistics.