| On-Time Flights | Delayed Flights | Canceled Flights | Diverted Flights | Total | |
| Delta Airlines | 12,716 | 904 | 23 | 8 | 13,651 |
| Southwest Airlines | 2,240 | 299 | 22 | 1 | 2,562 |
| On-Time Percentage Flights | Delayed Percentage Flights | Canceled Percentage Flights | Diverted Percentage Flights | Total | |
| Delta Airlines | 93.15% | 6.62% | 0.17% | 0.06% | 100% |
| On-Time Percentage Flights | Delayed Percentage Flights | Canceled Percentage Flights | Diverted Percentage Flights | Total | |
| Southwest Airlines | 100% |
| On-Time Percentage Flights | Delayed Percentage Flights | Canceled Percentage Flights | Diverted Percentage Flights | Total | |
| Overall | 92.246962% | 100% |
| Expected On-Time Flights | Expected Delayed Flights | Expected Canceled Flights | Expected Diverted Flights | Total Flights | |
| Delta Airlines | 12,592.633 | 13,651 | |||
| Southwest Airlines | 2,363.367 | 2,562 | |||
| Total Flights | 14,956 | 1,203 | 45 | 9 | 16,213 |
| On-Time Flights | Delayed Flights | Canceled Flights | Diverted Flights | Total | |
| American Airlines | 42,600 | 4,657 | 296 | 95 | 47,648 |
| Delta Airlines | 51,620 | 4,030 | 150 | 56 | 55,856 |
| Southwest Airlines | 69,384 | 9,280 | 1,782 | 128 | 80,574 |
| Total | 163,604 | 17,967 | 2,228 | 279 | 184,078 |
| Standardized Residual for On-time Flights | Standardized Residual for Delayed Flights | Standardized Residual for Canceled Flights | Standardized Residual for Diverted Flights | |
| Delta Airlines | 31.9 |
| Standardized Residual for On-time Flights | Standardized Residual for Delayed Flights | Standardized Residual for Canceled Flights | Standardized Residual for Diverted Flights | |
| Southwest Airlines | 33.3 |
| On-Time Flights | Delayed Flights | Canceled Flights | Diverted Flights | |
| American Airlines | 378 | 48 | 1 | 0 |
| Delta Airlines | 12,716 | 904 | 23 | 8 |
| Southwest Airlines | 2,240 | 299 | 22 | 1 |
| Good | Fair | Poor | |
| New Jersey | 26 | 87 | 7 |
| New York | 71 | 136 | 13 |
| Pennsylvania | 57 | 158 | 15 |
| Good | Fair | Poor | |
| Arkansas | 92 | 93 | 5 |
| Missouri | 78 | 134 | 8 |
| Oklahoma | 110 | 87 | 5 |
| On-Time Flights | Delayed Flights | Canceled Flights | Diverted Flights | Total | |
| American Airlines | 42,600 | 4,657 | 296 | 95 | 47,648 |
| Delta Airlines | 51,620 | 4,030 | 150 | 56 | 55,856 |
| Southwest Airlines | 69,384 | 9,280 | 1,782 | 128 | 80,574 |
| Total | 163,604 | 17,967 | 2,228 | 279 | 184,078 |
| Percentage On-Time Flights | Percentage Delayed Flights | Percentage Canceled Flights | Percentage Diverted Flights | Total | |
| American Airlines |
| Percentage On-Time Flights | Percentage Delayed Flights | Percentage Canceled Flights | Percentage Diverted Flights | Total | |
| American Airlines | 89.4% | 9.8% | 0.6% | 0.2% | 100% |
| Delta Airlines | |||||
| Southwest Airlines | |||||
| Overall |
| Expected Count of On-time Flights | |
| American Airlines | 42,348.4 |
| Delta Airlines | |
| Southwest Airlines | |
| Total |
| Expected On-Time Flights | Expected Delayed Flights | Expected Canceled Flights | Expected Diverted Flights | Total Flights | |
| American Airlines | 42,348.4 | 47,648 |
| Skill or Concept: I can . . . | Questions to check your understanding | Rating from 1 to 5 |
| Understand the purpose of a chi-square test of homogeneity. | 1, 2 | |
| Identify the null and alternative hypotheses for a chi-square test of homogeneity. | 3 | |
| Determine the expected count for each cell of a two-way table for a chi-square test of homogeneity. | 4, 5 |
- two-way table
- a table giving the counts for each value of the distributions of a categorical variable for multiple populations, also called a contingency table.
- expected count
- the number of the variable that we expect.
- standardized residuals
- values that standardize the residuals so that if the null hypothesis is assumed to be true, they can be interpreted as normal z-scores; also sometimes called Standardized Pearson Residuals.
- chi-squared test of homogeneity
- a test that compares distributions of one categorical variable for multiple populations.