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lyudmila [28]
3 years ago
7

you deposit 10,000 in an account that pays 3% annual interest compounded monthly. How much will you have in 5 years?

Mathematics
2 answers:
Inessa [10]3 years ago
8 0

Answer:

$2,833.59

Step-by-step explanation:

1 $10,000.00 $10,000.00 $511.64 $0.00 $10,511.62 $10,000.00

2 $10,000.00 $10,511.62 $537.79 $0.00 $11,049.41 $10,000.00

3 $10,000.00 $11,049.41 $565.30 $0.00 $11,614.72 $10,000.00

4 $10,000.00 $11,614.72 $594.23 $0.00 $12,208.95 $10,000.00

5 $10,000.00 $12,208.95 $624.63 $0.00 $12,833.59 $10,000.00

True [87]3 years ago
7 0

Answer:

How do i take questions down like this one?

Step-by-step explanation:

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Kiran collects data about the number of trees on school property and the average standardized test scores for those schools. Kir
Dmitrij [34]

Answer:

Although the variables are related, there is not likely a causal relationship. Trees probably do not directly influence test scores as much as other factors that might be related.

Step-by-step explanation:

6 0
3 years ago
Read 2 more answers
The length of a rectangle is 3 inches more than its width, and its perimeter is 22 inches. Find the width of the rectangle.
Rzqust [24]

Answer:

A. 4 in.

Step-by-step explanation:

= 3 +

22 = 2 + 2[3 + ] ↷

22 = 2 + 6 + 2

22 = 6 + 4

- 6 -6

-------------

16 = 4

4 =

I am joyous to assist you anytime.

4 0
3 years ago
Does the construction demonstrate how to copy a segment correctly by hand? Option A: Yes; the compass was kept at the same width
kobusy [5.1K]

The correct answer is A.

To create the line linger than AB, a straightedge was used.

To measure AB, a protractor was used.

This is how CD was created.

Best of Luck!

7 0
3 years ago
Read 2 more answers
In a study researchers reported the mean BMI for men 60 and older to be 24.7 with a standard deviation of 3.3 and the mean BMI f
erica [24]

Answer:

Probability that the difference in the mean BMI (men-women) for 45 women and 50 men selected independently and at random will exceed 2.1 = 0.2451

Step-by-step explanation:

The central limit theorem helps us to obtain the mean and the standard deviation of any sampling distribution.

Given that the sample was obtained from a normal distribution or an approximately normal distribution & it was obtained using random sampling techniques with each variable independent of one another and with each sample with adequate sample size,

Mean of sampling distribution (μₓ) = Population mean (μ)

Standard deviation of the sampling distribution = σₓ = (σ/√N)

where σ = population mean

N = Sample size

For the 45 women

μₓ = μ = 23.1

σₓ = (σ/√N) = (3.7/√45) = 0.552

For the 50 men

μₓ = μ = 24.7

σₓ = (σ/√N) = (3.3/√50) = 0.467

To find the probability that the difference in the mean BMI (men-women) for 45 women and 50 men selected independently and at random will exceed 2.1, we need to combine the distributions.

New distribution = (BMI of men) - (BMI of women) = x = X₁ - X₂

When independent distributions are combined, the combined mean and combined variance are given through the relation

Combined mean = Σ λᵢμᵢ

(summing all of the distributions in the manner that they are combined)

Combined variance = Σ λᵢ²σᵢ²

(summing all of the distributions in the manner that they are combined)

λ₁ = 1, λ₂ = -1

μ₁ = 24.7, μ₂ = 23.1

σ₁ = 0.467, σ₂ = 0.552

Combined mean = (Mean of men) - (Mean of women) = 24.7 - 23.1 = 1.6

Combined Variance = (1²×0.467²) + [(-1)²×(0.552²)] = 0.522793

Combined standard deviation = √0.522793 = 0.723

Probability that the difference in the mean BMI (men-women) for 45 women and 50 men selected independently and at random will exceed 2.1 = P(x > 2.1)

Note that the resulting distribution from the combination of distributions is still a normal distribution since the distributions combined were normal distributions too.

Hence, we first normalize or standardize 2.1

The standardized score for any value is the value minus the mean then divided by the standard deviation.

z = (x - μ)/σ = (2.1 - 1.6)/0.723 = 0.69

To determine the required probability

P(x > 2.1) = P(z > 0.69)

We'll use data from the normal distribution table for these probabilities

P(x > 2.1) = P(z > 0.69) = 1 - P(z ≤ 0.69)

= 1 - 0.7549

= 0.2451

Hope this Helps!!!

6 0
3 years ago
Can someone help me with this pls i’ll give brainliest
Rom4ik [11]

Answer: C

Step-by-step explanation:

1 1/8 = 1.125

3/4 = .75

4 0
3 years ago
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