Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 3m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample1h 1m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
2. Describing Data with Tables and Graphs
Frequency Distributions
Problem 11.1.25a
Textbook Question
Testing Goodness-of-Fit with a Normal Distribution Refer to Data Set 1 “Body Data†in Appendix B for the heights of females.

a. Enter the observed frequencies in the table above.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Goodness-of-Fit Test
A goodness-of-fit test is a statistical hypothesis test used to determine how well a sample distribution fits a theoretical distribution. In this context, it assesses whether the observed frequencies of female heights align with the expected frequencies under a normal distribution. This test helps to evaluate the appropriateness of the normal model for the given data.
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Step 2: Calculate Test Statistic
Observed Frequencies
Observed frequencies refer to the actual counts of occurrences in each category of a dataset. In the context of the question, these frequencies represent the number of females whose heights fall within specified ranges. Accurately entering these observed frequencies is crucial for conducting the goodness-of-fit test and comparing them against expected frequencies.
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Normal Distribution
A normal distribution is a continuous probability distribution characterized by its bell-shaped curve, defined by its mean and standard deviation. It is significant in statistics because many real-world phenomena, including human heights, tend to follow this distribution. Understanding the properties of normal distribution is essential for interpreting the results of the goodness-of-fit test.
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