PLEASE HELP ME HURRY

What is the interest if the principal is $10,000, the interest rate is 2%, and the time is 8 years?

inysia [295]

Answer:

$1600

Step-by-step explanation:

Do 10,000 x 0.02 or move the decimal over 2 places and multiply by the number then take that number and multiply it by 8

5 0

4 years ago

If the ratio of pink flower to blue flower is 3 to 6 and there are total 7 to flowers how many of them are pink

polet [3.4K]

I did 3+6+7=16 that should be ur answer

7 0

3 years ago

Salma used a photocopier to dilate the design for a monorail track system. The figure shows the design and its photocopy: Two ir

oksian1 [2.3K]

Answer:

The answer is 34

Step-by-step explanation:

The ratio of AD:EH is 1:2, so therefore the other line segments have the same ratio. Using this logic, we see that DC is equal to 17 m, and we need to find GH. All we do now is double the measurement of DC since the ratio of the two shapes is 1:2.

Therefore, 17 * 2 = 34

5 0

3 years ago

Read 2 more answers

Suppose a subdivision on the southwest side of Denver, Colorado, contains 1,500 houses. The subdivision was built in 1983. A sam

mihalych1998 [28]

Answer:

0.0268 = 2.68% probability that the sample average is greater than $229,500

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

When the distribution is normal, we use the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Single house:

The mean appraised value of a house in this subdivision for all houses is $228,000, with a standard deviation of $8,500, which means that $\mu = 228, \sigma = 8.5$