M.A1HS.36
Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal and conditional relative frequencies). Recognize possible associations and trends in the data.
Example Problems
A donut shop's donuts sold per hour are modeled below.
Based on this data, what is the probability that at least 1 donut is sold?
| Donuts Sold | Probability |
|---|---|
| 0 | |
| 1 | |
| 2 |
Based on this data, what is the probability that at least 1 donut is sold?
A boutique's scarf sales per hour are modeled below.
Based on this data, what is the probability that more than 1 scarf is sold?
| Scarves Sold | Probability |
|---|---|
| 0 | |
| 1 | |
| 2 | |
| 3 |
Based on this data, what is the probability that more than 1 scarf is sold?
A bike store's mountain bike sales per day follow this model.
Based on this data, what is the probability that more than 1 mountain bike is sold?
| Mountain Bikes Sold | Probability |
|---|---|
| 0 | |
| 1 | 0 |
| 2 | |
| 3 |
Based on this data, what is the probability that more than 1 mountain bike is sold?
Khan Academy ResourcesConditional distributions and relationshipsCreate two-way frequency tablesInterpret two-way tablesRead two-way frequency tablesConditional distributionsIdentify marginal and conditional distributionsMarginal distributionsAnalyze two-way frequency tablesTwo-way frequency tables and Venn diagramsMarginal and conditional distributionsInterpreting two-way tablesTwo-way relative frequency tables

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