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Xelga [282]
4 years ago
14

REEEEEEEEEEEEE POINTS

Mathematics
2 answers:
VMariaS [17]4 years ago
7 0

Answer:

Thanksssssssssssssssssssss

My name is Ann [436]4 years ago
7 0
Omg thank you so much :::)))))
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Ernest borrowed $1000 from the bank. The interest rate is 30% and he borrowed it for 9 months. How much will he owe the bank?
Fudgin [204]

The total amount Ernest owes the bank after 9 months is $1,225.00

How many months of interest would be paid?

The fact the loan was taken for nine months means that the borrower, Ernest needs to pay interest for nine months, in other words, we would time-apportion the annual interest of 30% to determine the 9-month interest as shown below:

9-month interest rate=30%*9/12

9-month interest rate=22.50%

The amount Ernest is owing the bank is the principal borrowed plus the interest for  9 months as computed below:

total amount owed after 9 months=$1000*(1+22.50%)

total amount owed after 9 months=$1000*1.2250

total amount owed after 9 months=$1,225.00

Find out more about borrowing on:brainly.com/question/28188613

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5 0
2 years ago
Mitch has 50 pieces of licorice. He shares them equally with his sister.
leonid [27]
50/2=L is the a expression 
7 0
4 years ago
Read 2 more answers
What is 1+12x-40 evaluated
vlada-n [284]

Answer:

12x-39

Step-by-step explanation:

40-1=39

7 0
3 years ago
Read 2 more answers
94 times 39 = what?????
never [62]

Answer:

The answer is 3,666

3 0
3 years ago
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When we reject the null and the null is true, we have a made a _________ __________.
nydimaria [60]

When we reject the null and the null is true, we have a made a type I error

The null hypothesis in statistics states that there is no difference between groups or no relationship between variables. It is one of two mutually exclusive hypotheses about a population in a hypothesis test.

null hypothesis is denoted as H₀

Reject the null hypothesis when the p-value is less than or equal to your significance level. Your sample data favor the alternative hypothesis, which suggests that the effect exists in the population. When you can reject the null hypothesis, your results are statistically significant.

when the p-value is greater than your significance level, you fail to reject the null hypothesis.

Sometimes , we reject our null hypothesis even when its true

there we made a type I error in hypothesis

To know more about null hypothesis here

brainly.com/question/19263925

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3 0
1 year ago
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