3. The Chi Square test is applicable for a given data, if*
Question
- The Chi Square test is applicable for a given data, if*
Solution
The Chi Square test is applicable for a given data if:
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The data is categorical: Chi Square test is used for categorical data. This means the data has been counted and divided into categories. It is not used for continuous data such as height, weight, temperature, etc.
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The observations are independent: Each participant or observation should fall into one category only for the Chi Square test to be valid. This means that the categories must be mutually exclusive.
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The data is randomly sampled: The data should be a random sample from the population. This means that every member of the population has an equal chance of being included in the sample.
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The sample size is sufficiently large: A general rule of thumb is that the Chi Square test is appropriate if each cell has an expected count of 5 or more. However, this rule has exceptions.
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The data should not have paired groups: Chi Square test is not applicable for paired groups or matched pairs data.
If these conditions are met, then the Chi Square test can be used to analyze the data.
Similar Questions
Which of the following statements about the Chi-square analysis is true? Categorical data from questions about sex, education, or other nominal variables cannot be tested with this statistic. The expected frequencies in Chi-square cannot be calculated theoretically. The larger the Chi-square, the less likely it is that the two variables that are measured are related. When the differences between observed and expected frequencies are large, one must accept the null hypothesis. Chi-square analysis compares the observed frequencies of responses with the expected frequencies.
What type of data is commonly analyzed using a chi-square test?*1 pointContinouous dataRatio dataOrdinal dataNominal or categorical data
Chi-square analysis enables researchers to test for statistical significance between the frequency distributions of two or more nominally scaled variables in a cross-tabulation table to determine if there is any association between the variables. True False
In the chi-square test, the null hypothesis states:a.There is an association between the variablesb.There is no association between the variablesc.The means of the groups are equald.The variances of the groups are equal
What does a chi-square test compare?Question 4Answera.the frequency of incorrect responses for each variableb.correct and incorrect reaction timesc.the observed and total frequencies for each individual participantd.the observed and expected frequencies for each cell
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