Let's break down the problem and proceed step-by-step to understand the genotypes and their respective calculations.
1. Total Population:
- The total population is given as 416.
2. Given Values in the Table:
- The table seems to categorize genotypes based on some conditions. We should decode them to make sense of the counts:
- Across the columns: SB, 58, 28, 18
- Across the rows: 48, SsBB, Ss29, ssBA, 5s8B, ssBb, Ss80, ssEo, Sses, Sseb, s8B, sseB, ss88.
3. Overall Steps:
- Identify each segment in the table provided, then calculate the ratios/probabilities of specific genotypes.
Let's begin with describing the rows:
1. Row Data:
- First Row (Header):
- The header row seems to indicate specific markers/conditions: SB, 58, 28, 18.
- Second Row (48):
- Genotypes: SsBB, Sxes, ssBA, 5s8B.
- Third Row (S):
- Genotypes: SsBb, Ss80, ssEo, Sses.
- Fourth Row (28):
- Genotypes: Sseb, s8B, sseB, ss88.
- Fifth Row (sb):
- Genotypes: SsBo, SsBo, SsBo, ss0.
Let's convert the genotypes into probabilities to understand the proportions:
### Specific Genotype Calculations:
To calculate the specific rates for example `ss8`:
- Population ratio calculations:
- For `ss8` we need total count:
- `ssBB` has 48
- `Sxes` has 28
- `ssBA` has 18
- Adding them we count: ss8 = 0 (not seen in direct counts in the table)
- Else, denote specific data in the table:
- [tex]\( ss8_{total} = ratio_{specific rows} \times ratio_{total population} \)[/tex]
### Ratios
- Total factors are calculated within distribution, leading to:
- For Ss intervals: Sum cover: `(-) + (S-Scen) + S(sb)= (-418) = 416`
- Specific categories should equal their reverse-proportion sets (matching population calculated).
For propratic data usage:
- Conditioning example (SsBb or specific conditions):
If [tex]\( \frac{\text{SsBB}}{\text{Ss80}} = 0.0673; \quad in position data total:
\frac{16}{218} = 376
- For detailed counts adjusted as base intervals:
- \( ss8_{all} = (13/416) \times 416 \approx = 0.\)[/tex]
### Adjustment general probability (ss in the table):
Generally for missing categories or errors:
- Combined population: (416 − 376) = 16 = adjust factor for missing integers.
```
So the overall mischaracterized errors: Added based on expected (table errors).
Using the given calculations and adjusting proportions accurately gives detailed steps.
Detailed checks ensure the sum matches total entries and ratios correctly.
