Here is a completed version of the given table with numbers selected and ensuring that rows and columns sum to the specified totals.
Updated Table
| | Single-Family | Condo | Multifamily | Total | |-------------------|----------------|-------|-------------|-------| | Adjustable | 400 | 100 | 100 | 600 | | Fixed | 200 | 90 | 110 | 400 | | Total | 600 | 190 | 210 | 1000 |
Now let's answer the questions based on this table:
a. What is the probability that the mortgage is Adjustable AND for a Single Family?
- This is found by dividing the number of Adjustable Single-Family mortgages by the total number of mortgages:
\[ P(\text{Adjustable} \cap \text{Single-Family}) = \frac{400}{1000} = \frac{4}{10} = 0.4000 \]
b. What is the probability that the type of home purchased is a Condo?
- This is found by dividing the number of Condos by the total number of mortgages:
\[ P(\text{Condo}) = \frac{190}{1000} = \frac{19}{100} = 0.1900 \]
c. What is the probability that the mortgage is Fixed OR a Single-Family home is purchased?
- To find this we can use the formula:
\[ P(\text{Fixed} \cup \text{Single-Family}) = P(\text{Fixed}) + P(\text{Single-Family}) - P(\text{Fixed} \cap \text{Single-Family}) \]
Calculating each probability:
- \( P(\text{Fixed}) = \frac{400}{1000} = 0.4000 \)
- \( P(\text{Single-Family}) = \frac{600}{1000} = 0.6000 \)
- \( P(\text{Fixed} \cap \text{Single-Family}) = \frac{200}{1000} = 0.2000 \)
So,
\[ P(\text{Fixed} \cup \text{Single-Family}) = 0.4000 + 0.6000 - 0.2000 = 0.8000 \]
d. Given that a Condo is purchased, what is the probability the mortgage is Adjustable?
- This is found using conditional probability:
\[ P(\text{Adjustable} | \text{Condo}) = \frac{P(\text{Adjustable} \cap \text{Condo})}{P(\text{Condo})} = \frac{100/1000}{190/1000} = \frac{100}{190} \approx 0.5263 \]
e. Given that the mortgage is Adjustable, what is the probability that a Condo is purchased?
- This is similarly found:
\[ P(\text{Condo} | \text{Adjustable}) = \frac{P(\text{Condo} \cap \text{Adjustable})}{P(\text{Adjustable})} = \frac{100/1000}{600/1000} = \frac{100}{600} \approx 0.1667 \]
f. Determine if the type of mortgage and home purchased are independent.
- Two events A (Mortgage type) and B (Home type) are independent if \( P(A \cap B) = P(A) \cdot P(B) \).
Let's check if adjustable mortgages and Single Family homes are independent:
- \( P(\text{Adjustable}) = \frac{600}{1000} = 0.6000 \)
- \( P(\text{Single-Family}) = \frac{600}{1000} = 0.6000 \)
- \( P(\text{Adjustable} \cap \text{Single-Family}) = \frac{400}{1000} = 0.4000 \)
Now, \( P(\text{Adjustable}) \cdot P(\text{Single-Family}) = 0.6000 \cdot 0.6000 = 0.3600 \).
Since \( 0.4000 \neq 0.3600 \), the events are not independent.
g. Determine if purchasing a Single-Family home and a Condo are mutually exclusive events.
- Two events A and B are mutually exclusive if they cannot both occur at the same time \( P(A \cap B) = 0 \).
In this case, a mortgage can be both Single-Family and Condo. Thus,
\[ P(\text{Single-Family} \cap \text{Condo}) \neq 0 \]
Hence, they are not mutually exclusive events.
This concludes the answers needed based on the given table and assumptions made.