What this deck covers
This deck focuses on Summarizing Categorical Data Two Way Tables, giving you a quick way to review the definitions, rules, and examples that matter most for Statistics.
Study Summarizing Categorical Data Two Way Tables in Statistics with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.
0% Complete
State the formula for a marginal relative frequency for row i.
Tap card or press Space to flip
grand totalrow total i. Shows what proportion of all data is in that row.
How well did you know it?
Card 1 / 38
Space to flip · ← / → to move · once flipped, → Got it · ← Still learning
This deck focuses on Summarizing Categorical Data Two Way Tables, giving you a quick way to review the definitions, rules, and examples that matter most for Statistics.
Work through these flashcards in short sessions. Try to answer each prompt before flipping the card, then revisit any cards you miss until the explanation feels automatic.
Answer: grand totalrow total i. Shows what proportion of all data is in that row.
Answer: Nnij. Divide the cell count by grand total for proportion in both categories.
Answer: row total icell(i,j). Shows distribution of columns within a specific row.
Answer: Compare P(A∣B1) to P(A∣B2) (and other B categories). Different conditional probabilities indicate association between variables.
Answer: Nni⋅. Divide row total by grand total for proportion in that row category.
Answer: The marginal proportion for category A (row or column total over grand total). Represents the overall probability of event A occurring.
Answer: 1. All proportions must sum to the whole.
Answer: 8012=0.15. Apply the joint relative frequency formula.
Answer: ni⋅nij. Divide cell count by row total for proportion within that row.
Answer: A row total or column total (a total along the margin). Found at the edges where row/column totals are displayed.
Answer: Among those in Ri, the proportion who are also in Cj. Conditional restricts to a subset before calculating proportion.
Answer: The total count (or total proportion) for category B. Condition on B means we only consider those in category B.
Answer: The proportion of all individuals in row category Ri. Marginal ignores the other variable and gives overall proportion.
Answer: Conditional relative frequencies differ noticeably between groups. Different distributions indicate dependence between variables.
Answer: 7218=0.25. Marginal relative frequency equals margin total divided by grand total.
Answer: Counts for each category combination (rows and columns) and totals. Two-way tables organize data by two categorical variables simultaneously.
Answer: The proportion of all individuals in both categories Ri and Cj. Joint means the proportion satisfying both conditions simultaneously.
Answer: Counts for two categorical variables, organized by rows and columns. Two-way tables display relationships between two categorical variables.
Answer: 6012=0.20. Joint relative frequency equals cell count divided by grand total.
Answer: The joint proportion in the cell where A and B occur together. Represents the probability of both events occurring together.
Answer: Conditional relative frequencies are (approximately) equal across groups. Independence means conditioning doesn't change the proportions.
Answer: 12030=0.25. Divide the row total by the grand total.
Answer: n⋅jnij. Divide cell count by column total for proportion within that column.
Answer: 1. Row-conditional frequencies distribute the row total completely.
Answer: Associated (conditional relative frequencies differ substantially). Large difference (0.40 vs 0.10) indicates strong association.
Answer: The row total or column total (a total along the margin). Marginal frequencies appear at the edges (margins) of the table.
Answer: A proportion: fraccounttotal. Converts counts to proportions for comparison.
Answer: grand totalcell(i,j). Divides the cell count by the grand total.
Answer: The proportion in category A among those in category B. Conditional probability restricts to those already in category B.
Answer: column total jcell(i,j). Shows distribution of rows within a specific column.
Answer: Conditional relative frequencies are (approximately) the same across groups. Independence means the condition doesn't affect the distribution.
Answer: The sum of all cell frequencies in the table. Add all interior cells to get the overall total.
Answer: Association is suggested because the conditional proportions differ. Large difference (0.70 vs 0.20) indicates variables are related.
Answer: Correct joint relative frequency: Nnij. Joint uses grand total N, not row total ni⋅, as denominator.
Answer: The total for category B (the given condition). Conditional probability uses the condition's total as denominator.
Answer: Little to no association (conditional relative frequencies are similar). Nearly equal values (0.33 vs 0.34) suggest independence.
Answer: 6018=0.30. Divide Yes count by Group A total for conditional probability.
Answer: 309=0.30. Conditional divides cell count by the conditioning category's total.