The answer is C. loss section
Alpha level. the minimum P-value at which we reject the null hypothesis
<h3>What is Null hypothesis ?</h3>
That two options are identical is the null hypothesis. According to the null hypothesis, the observed difference is solely the result of chance. The probability that the null hypothesis is correct can be determined via statistical testing.
<h3>What is alpha level?</h3>
The "significance level," often known as the alpha level, must be established before performing any statistical test. The likelihood of rejecting the null hypothesis when it is true is what is meant by the term "alpha level" in statistics. The likelihood of making a poor decision is what this phrase means.
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Correct me if I’m wrong but I believe it to b
Answer:
so you use the formula:
A = P(1 + r/n)nt
Where:
A = Accrued Amount (principal + interest)
P = Principal Amount
I = Interest Amount
R = Annual Nominal Interest Rate in percent
r = Annual Nominal Interest Rate as a decimal
r = R/100
t = Time Involved in years, 0.5 years is calculated as 6 months, etc.
n = number of compounding periods per unit t; at the END of each period
and you will get:
A = $ 4,432.85
A = P + I where
P (principal) = $ 3,600.00
I (interest) = $ 832.85
The answer is A because when a number has a 0 above it’s always 1
