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Pachacha [2.7K]
1 year ago
10

Ollie borrowed $5000 for 3 years at a compound interest rate of 10%.

Mathematics
2 answers:
emmasim [6.3K]1 year ago
5 0

Answer: Assuming interest rate is yearly, Ollie would have to pay back 6, 655 dollars :)

Step-by-step explanation:

The formula for compound interest is

Y = P(1 + r/m)^mt, with P being the initial deposit (5000), r being the interest rate (0.10), m being the amount of times it is compounded per year (1), and t being the number of years (3).

I am Lyosha [343]1 year ago
3 0
I think Ollie payed $1,500 back.
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Step-by-step explanation:

ax-b=c

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ax=c+b

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a=c+b/a

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A part-time shelf stocker made $8912.03 last year. If she claimed herself as
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A presidential candidate's aide estimates that, among all college students, the proportion who intend to vote in the upcoming el
inessss [21]

Answer:

z=\frac{0.529 -0.6}{\sqrt{\frac{0.6(1-0.6)}{240}}}=-2.24  

p_v =P(z  

If we compare  the p value and the significance level given \alpha=0.01 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 1% of significance the proportion college students expressed an intent to vote is not higher than 0.6

Step-by-step explanation:

Assuming the following question: A presidential candidate's aide estimates that, among all college students, the proportion p who intend to vote in the upcoming election is at least 60% . If 127 out of a random sample of 240 college students expressed an intent to vote, can we reject the aide's estimate at the 0.1 level of significance?

Data given and notation

n=240 represent the random sample taken

X=127 represent the college students expressed an intent to vote

\hat p=\frac{127}{240}=0.529 estimated proportion of college students expressed an intent to vote

p_o=0.6 is the value that we want to test

\alpha=0.01 represent the significance level

Confidence=99% or 0.99

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that at least 60% of students are intented to vote .:  

Null hypothesis:p \geq 0.6  

Alternative hypothesis:p < 0.6  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.529 -0.6}{\sqrt{\frac{0.6(1-0.6)}{240}}}=-2.24  

Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The significance level provided \alpha=0.01. The next step would be calculate the p value for this test.  

Since is a left tailed test the p value would be:  

p_v =P(z  

If we compare  the p value and the significance level given \alpha=0.01 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 1% of significance the proportion college students expressed an intent to vote is not higher than 0.6

7 0
3 years ago
P(Q) = 12/17<br> P(R) = 3/8<br> If Q and Rare independent events, find the PQ and R).
kodGreya [7K]

Answer:

9/34

Step-by-step explanation:

P(QnR) = P(Q) * P(R)

= 12/17 * 3/8

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6 0
2 years ago
To find the roots of the function, set y = 0. The equation is 0 = 4x2 + 2x – 30.
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Answer:

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Step-by-step explanation:

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x + 3 = 0 ⇒ x = - 3

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4 0
4 years ago
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