Practice Chi-square Test (13.7.1) - Errors and Adjustments - Geo Informatics

Practice: Chi-Square Test

Lesson 13.7.1Errors and Adjustments

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9 questions

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6 sample questions

Question 1.
What does the Chi-Square Test assess?
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Think about how well two sets of data correspond.
Question 2.
What does 'v' represent in the Chi-Square formula?
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Consider what you're measuring in the data.
3Question 3.
What is the purpose of the Chi-Square Test?
- To calculate averages
- To evaluate goodness-of-fit
- To predict future values
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Think about what the test is designed to measure.
4Question 4.
True or False: The residuals in a Chi-Square Test indicate discrepancies between observed data and expected data.
- True
- False
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What do residuals signify in statistical terms?
Question 5.
A researcher claims that the distribution of plant species in a field follows a certain pattern. After observation, they calculate a Chi-Square statistic of 15. In a table, they find the critical value at a significance level of 0.01 and degrees of freedom of 5 is 15.086. How would you interpret these results?
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Review how Chi-Square values compare with critical values for interpretation.
Question 6.
If in a survey of household sizes, the expected family size distribution was set at 3, while the observed sizes from 100 surveyed families showed an average of 3.5 with a variance of 0.5. How would you determine the fit of your observations?
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Make sure to understand what variances indicate in the context of Chi-Square analysis.

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