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Akimi4 [234]
3 years ago
11

A bank offers an annual simple interest rate of 8% on home improvement loans. How much would Tobias owe of he borrowed $17,000 o

ver a period of 2 years?
Mathematics
1 answer:
Marysya12 [62]3 years ago
4 0
Find interest and add that to 1700
I=PRT
T=2
P=17000
R=8%=0.08
I=2(1700)(0.08)
I=272

add
17000+272=17272

total is $17272
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Debora [2.8K]

Answer:

(0,5)

Step-by-step explanation:

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8 0
2 years ago
A large school district in southern California asked all of its eighth-graders to measure the length of their right foot at the
Ber [7]

Answer:

The probability of the sample mean foot length less than 23 cm is 0.120

Step-by-step explanation:

* Lets explain the information in the problem

- The eighth-graders asked to measure the length of their right foot at

  the beginning of the school year, as part of a science project

- The foot length is approximately Normally distributed, with a mean of

 23.4 cm

∴ μ = 23.4 cm

- The standard deviation of 1.7

∴ σ = 1.7 cm

- 25 eighth-graders from this population are randomly selected

∴ n  = 25

- To find the probability of the sample mean foot length less than 23

∴ The sample mean x = 23, find the standard deviation σx

- The rule to find σx is σx = σ/√n

∵ σ = 1.7 and n = 25

∴ σx = 1.7/√25 = 1.7/5 = 0.34

- Now lets find the z-score using the rule z-score = (x - μ)/σx

∵ x = 23 , μ = 23.4 , σx = 0.34

∴ z-score = (23 - 23.4)/0.34 = -1.17647 ≅ -1.18

- Use the table of the normal distribution to find P(x < 23)

- We will search in the raw of -1.1 and look to the column of 0.08

∴ P(X < 23) = 0.119 ≅ 0.120

* The probability of the sample mean foot length less than 23 cm is 0.120

4 0
3 years ago
Giving Brainliest if you help me out! Please answer correctly
lyudmila [28]

Answer:D

Step-by-step explanation:

8 0
3 years ago
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16 ÷ 8 = 2
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The answer is D. 2 x 8= 16
3 0
3 years ago
Read 2 more answers
If a 60 year old buys a $1000 life insurance policy at a cost of $50 and has a probability of 0.954 of living to age 61 find the
ANTONII [103]

Answer:

The expectation of the policy until the person reaches 61 is of -$4.

Step-by-step explanation:

We have these following probabilities:

0.954 probability of a loss of $50.

1 - 0.954 = 0.046 probability of "earning" 1000 - 50 = $950.

Find the expectation of the policy until the person reaches 61.

Each outcome multiplied by it's probability, so:

E = -0.954*50 + 0.046*950 = -4

The expectation of the policy until the person reaches 61 is of -$4.

6 0
3 years ago
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