I would say independent since the problem doesn't state any relation between disease X and disease Y. Also I beleive if it were dependent the probability of getting both wouldn't be .494 (which is .65 *.76). It would have to be probability of event A and event B, and then divided by probability of just B
Two negative signs together change the sign to a positive sign.
Using the distributive property with the 7 you would have -(-7), the two negatives would make it +7
So you end up with -8 + 7
To answer this question you need to find the percentage 12 is of 16. To do this you would divide 12 by 16 to get 0.75, then multiply it by 100 to get 75%.
Answer:
- Is not met ( A )
- Is not met ( A )
- Does not need to be checked for multiple linear regression ( B )
- Does not need to be checked for multiple linear regression ( B )
Step-by-step explanation:
Linearity condition is : <em>NOT MET </em>
The equal variance condition is : <em>NOT MET</em>
The 10% condition :<em> Does not need to be checked for multiple linear regression </em>
The success failure condition : <em>Does not need to be checked for multiple linear regression</em>
Answer:
$38,562.5
Step-by-step explanation
Using the compound interest formula
A = P(1+r/n)^nt
P is the principal = $125,000
r is the rate = 6% = 0.06
time t = 5years
n = 0.25 (quarterly payment)
Substitute
A = 125000(1+0.06/0.25)^5(0.25)
A = 125000(1+ 0.24)^1.25
A = 125000(1.24)^1.25
A = 125000(1.3085)
A = 163,562.5
Hence the interest earned = 163,562.5 - 125000
interest earned = $38,562.5
