1) The accumulated amount after six years and the total interest that Trevor will receive if the interest rate is 4.5% per annum simple interest after 6 years are <u>R25,400</u> and <u>R5,400</u> respectively.
2) The accumulated amount after six years and the total interest that Trevor will receive if the interest rate is 4.5% per annum compound interest after 6 years are<u> R26,045.20</u> and <u>R6,045.20</u> respectively.
<h3>Data and Calculations:</h3><h3>Simple Interest:</h3>
Principal = R20,000
Investment period = 6 years
Interest rate = 4.5%
Simple interest for 6 years = R5,400 ($20,000 x 6 x 4.5%)
Principal + Interest = R25,400 (R20,000 + R5,400)
<h3>Compound Interest:</h3>
Principal = R20,000
Investment period = 6 years
Interest rate = 4.5%
N (# of periods) = 6 years
I/Y (Interest per year) = 4.5%
PV (Present Value) = R20,000
PMT (Periodic Payment) = R0
<u>Results</u>:
FV = R26,045.20
Total Interest = R6,045.2
Learn more about simple and compound interests at brainly.com/question/3575751
#SPJ1
Answer:
2.222
Step-by-step explanation:
there is 1000 pieces of candy and 450 bags so 1000 ÷ 450 = 2.222
Step-by-step explanation:
In that equation it tells you that your slope is 2/3. It also tells you that your y intercept is -4. (Remember slope is written in y=mx+b) So first you plot your y value. (Remember that y intercept is up and down and slope is rise/fall over run) So your first point should be located at -4. Now you can began putting in your slope. Since your slope is positive, go up two and go to the right 3 times (rise/run). That's how you graph your equation.
Answer:
Is unbiased estimator
Step-by-step explanation:
In statistics, Numerical characteristics derived from population data is referred to as parameter, while those derived from the sample data are called statistic. When a sample is drawn from a particular population, the statistic of such sample could be used as either a point or interval estimate of the population. However, the estimator derived from the sample in most cases isn't equal to the exact parameter value. When this happens, that is, when population parameter equals the estimate of the sample statistic, then we have an unbiased estimator.
