Gender and Eye Color The following table describes the distribution of eye colors reported by male and female statistics students (based on data from “Does Eye Color Depend on Gender? It Might Depend on Who or How You Ask,” by Froelich and Stephenson, Journal of Statistics Education, Vol. 21, No. 2). Is there sufficient evidence to warrant rejection of the belief that gender and eye color are independent traits? Use a 0.01 significance level.
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
Contingency Tables
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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 questions can be answered by using a two-way table?
A
What is the of test scores in a sample?
B
Is there an association between gender and preferred type of movie in a group of people?
C
What is the height of students in a class?
D
How does the income of a city compare to the ?
Verified step by step guidance1
Understand what a two-way table (also called a contingency table) is: it is a table that displays the frequency counts of two categorical variables simultaneously, allowing us to examine the relationship or association between these two variables.
Identify the type of data involved in each question: standard deviation and mean height involve numerical data, while gender and preferred type of movie are categorical variables.
Recognize that a two-way table is appropriate when you want to analyze the association between two categorical variables, such as gender (male/female) and preferred movie type (e.g., action, comedy, drama).
Note that questions about standard deviation, mean, or median involve numerical summaries and are not answered using two-way tables, but rather with numerical descriptive statistics or comparisons.
Conclude that the question 'Is there an association between gender and preferred type of movie in a group of people?' can be answered using a two-way table because it involves two categorical variables and their relationship.
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