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Andrew [12]
3 years ago
13

Gavin invests $5,000 in a savings account that pays 3.75% simple interest. How much will be in the account after 6 years if Gavi

n makes no withdrawals or deposits to the account?​
Mathematics
1 answer:
ivolga24 [154]3 years ago
8 0

Answer:

$6261.62

Step-by-step explanation:

A=Pe^rt forumla

A=5000e^0.0375(6)=6261.612633

I rounded e to 2.71828 for calculator reasons

and I rounded the number two places since it is a monetary value.

I tried hope it helps!!!

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Jose has -75 points. He wins 200 points;then he loses 25 points. How many points does he have now?
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Answer:

100 points

Step-by-step explanation:

-75 + 200 = 125

125 - 25 = 100

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Jon noeds 1/3 cup of
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Answer: 1 1/12

Step-by-step explanation:

1/3 + 3/4 =

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3/4 x 3 = 9/12

9/12 + 4/12 = 13/12 = 1 1/12

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Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your
Mila [183]

The critical value of r is mathematically given as r = +0.487, with no significant linear correlation. Option A.

<h3>What are the critical values of r?</h3>

Question Parameters

r = -0.868

n = 5

df = 5 - 2

df = 3

\alpha / 2 =0.025

Critical values r= \pm 0.878

Generally, there exists no linear correlation between the Critical values

as r=0.878

In conclusion,  Critical values: r = +0.487, no significant linear correlation

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Find the variance of the set of data to the nearest tenth: 5, 8, 2, 9, 4
Orlov [11]

Answer:

Therefore the variance on the data set is 8.3

Step-by-step explanation:

In order to find the variance of the set of data we first need to calculate the mean of the set, which is given by:

mean = sum of each element / number of elements

mean = (5 + 8 + 2 + 9 + 4)/5 = 5.6

We can now find the variance by applying the following formula:

s^{2} = \frac{\sum_{(i=1)}^n(x_i - mean)^2}{n -1}

So applying the data from the problem we have:

s² = [(5 - 5.6)² + (8 - 5.6)² + (2 - 5.6)² + (9 - 5.6)² + (4 - 5.6)²]/(5 - 1)

s² = [(-0.6)² + (2.4)² + (-3.6)² + (3.4)² + (-1.6)²]/4

s² = [0.36 + 5.76 + 12.96 + 11.56 + 2.56]/4 = 8.3

Therefore the variance on the data set is 8.3

7 0
2 years ago
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