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BESC 3010 Ch8 Questions and Answers | Latest Update | 2024/2025 | Graded A+ CA$13.73   Add to cart
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BESC 3010 Ch8 Questions and Answers | Latest Update | 2024/2025 | Graded A+
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BESC 3010 Ch8 Questions and Answers | Latest Update | 2024/2025 | Graded A+ What is the purpose of conducting a chi-square test? A chi-square test is used to determine if there is a significant association between categorical variables, helping to analyze whether the observed frequencies diff...

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  • November 4, 2024
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  • 2024/2025
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BESC 3010 Ch8 Questions and Answers
| Latest Update | 2024/2025 | Graded A+
What is the purpose of conducting a chi-square test?


✔✔A chi-square test is used to determine if there is a significant association between categorical

variables, helping to analyze whether the observed frequencies differ from the expected

frequencies.




How do you interpret the results of a chi-square test?


✔✔The results of a chi-square test are interpreted by comparing the calculated chi-square

statistic to a critical value from the chi-square distribution; if the statistic exceeds the critical

value, we reject the null hypothesis.




What is the difference between a goodness-of-fit test and a test of independence?


✔✔A goodness-of-fit test assesses whether the observed distribution of a single categorical

variable matches an expected distribution, while a test of independence evaluates whether two

categorical variables are related.




What assumptions must be met to conduct a chi-square test?




1

, ✔✔The assumptions include having a random sample, expected frequencies of at least five in

each category, and independent observations within the dataset.




How can a contingency table help in statistical analysis?


✔✔A contingency table organizes data on two categorical variables, allowing for easy

comparison and analysis of frequencies, which aids in determining relationships between the

variables.




What does it mean if a chi-square test yields a p-value less than 0.05?


✔✔A p-value less than 0.05 suggests strong evidence against the null hypothesis, indicating that

there is likely a significant association between the variables being studied.




What is the role of effect size in the context of a chi-square test?


✔✔Effect size provides a measure of the strength of association between variables, offering

additional context to the statistical significance of the chi-square test results.




How do you determine expected frequencies in a chi-square test?




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