Variable Information: Children = number of children. Education is highest year of education (e.g., 12 = High School; 16 = Bachelors, etc.). Happy: 1 = Not too happy, 2 = Pretty Happy, 3 = Very Happy. Health: 1 = Poor, 2 = Fair, 3 = Good, 4 = Excellent. Income: 1 = Under $1000; 2 = $1000-2999; 3 = $3000-3999; 4 = $4000-4999; 5 = $5000-5999; 6 = $6000-6999; 7 = $7000-7999; 8 = $8000-9999; 9 = $10000-12499; 10 = $12500-14999; 11 = $15000-17499; 12 = $17500-19999; 13 = $20000-22499; 14 = $22500-24999; 15 = $25000-29999; 16 = $30000-34999; 17 = $35000-39999; 18 = $40000-49999; 19 = $50000-59999; 20 = $60000-74999; 21 = $75000-$89999; 22 = $90000-$109999; 23 = $110000-$129999; 24 = $130000-$149999; 25 = $150000+. Married: 0 = No, 1 = Yes. Religious: 1 = Not religious, 2 = Slightly religious, 3 = Moderately religious, 4 = Very religious. Using this data set: Identify which variables could be depicted with the following visualizations (hint: some variables could be visualized using more than one of the following): Histograms Bar charts Box plots Stem-and-leaf plots Pie charts Line charts Frequency tables
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
Variable Information:
Children = number of children.
Education is highest year of education (e.g., 12 = High School; 16 = Bachelors, etc.).
Happy: 1 = Not too happy, 2 = Pretty Happy, 3 = Very Happy.
Health: 1 = Poor, 2 = Fair, 3 = Good, 4 = Excellent.
Income: 1 = Under $1000; 2 = $1000-2999; 3 = $3000-3999; 4 = $4000-4999; 5 = $5000-5999; 6 = $6000-6999; 7 = $7000-7999; 8 = $8000-9999; 9 = $10000-12499; 10 = $12500-14999; 11 = $15000-17499; 12 = $17500-19999; 13 = $20000-22499; 14 = $22500-24999; 15 = $25000-29999; 16 = $30000-34999; 17 = $35000-39999; 18 = $40000-49999; 19 = $50000-59999; 20 = $60000-74999; 21 = $75000-$89999; 22 = $90000-$109999; 23 = $110000-$129999; 24 = $130000-$149999; 25 = $150000+.
Married: 0 = No, 1 = Yes.
Religious: 1 = Not religious, 2 = Slightly religious, 3 = Moderately religious, 4 = Very religious.
Using this data set:
- Identify which variables could be depicted with the following visualizations (hint: some variables could be visualized using more than one of the following):
- Histograms
- Bar charts
- Box plots
- Stem-and-leaf plots
- Pie charts
- Line charts
- Frequency tables
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