Which of the following is not a requirement to conduct a goodness-of-fit test?
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
13. Chi-Square Tests & Goodness of Fit
Goodness of Fit Test
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Which of the following is not a requirement to conduct a goodness-of-fit test?
A
The observations must be independent of each other.
B
The expected frequency for each category should be at least .
C
The data must be collected from a random sample.
D
The population standard deviation must be known.
Verified step by step guidance1
Understand that a goodness-of-fit test is used to determine if observed categorical data matches an expected distribution.
Recall the key assumptions for conducting a goodness-of-fit test: observations must be independent, data should come from a random sample, and expected frequencies for each category should be sufficiently large (usually at least 5).
Recognize that the population standard deviation is not a requirement for a goodness-of-fit test because this test deals with categorical data and frequencies, not means or variances.
Compare each given option against these assumptions to identify which one does not belong as a requirement.
Conclude that the statement 'The population standard deviation must be known' is not a requirement for conducting a goodness-of-fit test.
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