In a Chi Square Goodness of Fit Test, how do you calculate the expected value for each category?
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
Problem 12.1.2
Textbook Question
A ________________ test is an inferential procedure used to determine whether a frequency distribution follows a specific distribution.
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Identify the type of test used to compare observed frequency distributions with expected frequency distributions under a specific theoretical distribution.
Recall that this test is commonly used to assess goodness of fit, which measures how well the observed data matches the expected distribution.
Understand that the test involves calculating a test statistic based on the differences between observed and expected frequencies.
Recognize that the test statistic follows a chi-square distribution under the null hypothesis that the observed distribution matches the expected distribution.
Conclude that the name of this test is the Chi-Square Goodness of Fit test.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Inferential Statistics
Inferential statistics involves methods that allow us to make conclusions or predictions about a population based on sample data. It uses probability theory to test hypotheses and estimate parameters, helping to determine if observed patterns are statistically significant.
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Frequency Distribution
A frequency distribution is a summary of how often each value or category occurs in a dataset. It organizes data into classes or categories, showing the count or frequency of observations, which helps in understanding the data's overall pattern.
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Intro to Frequency Distributions
Goodness-of-Fit Test
A goodness-of-fit test is a statistical test used to assess whether observed frequencies match expected frequencies from a specific theoretical distribution. It helps determine if the data fits a hypothesized distribution, such as the chi-square goodness-of-fit test.
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Goodness of Fit Test
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