Credit scores are often a factor in determining your insurance premiums. Search the Internet using the keywords “credit score and insurance rates" and briefly respond to these questions: What are some pros and cons of using credit scores for insurance pricing?
Correlations are used to justify considering credit scores to set premiums. What other variables related to credit scores justify linking them to a premium rate?
Describe from the insurance company’s perspective which expected values are affected by use of credit scores.
Do you agree or disagree with using credit scores in determining insurance premiums? Support your opinion briefly.

hello from mrbilldoesmath!

answer:

x - 3

discussion:

x^2 - 9 = (x-3) (x+3)   so

(x^2-9)/ (x + 3) = x-3

you,

mrb

55% are girls and 45% are boys : ) hope this

step-by-step explanation:

d. 24+-0.114

step-by-step explanation:

the question requires us to calculate the approximate 95% confidence interval for the mean number of ounces of ketchup per bottle in the sample given the following statistics;

sample mean = 24

standard deviation, σ = 0.4

sample size , n = 49

the confidence interval for a population mean is calculated using the formula;

sample mean ± z-score*(σ/sqrt(n))

the z-score associated with a 95% confidence interval, from the standard normal tables, is;

1.96

substituting these values into the formula;

24 ± 1.96*(0.4/7)

= 24 ± 0.112

from the alternatives given, choice d is closest to the above expression;