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Len [333]
3 years ago
9

If Sarah has 50 Nickles and 20 dimes and Bill has 230 pennies and 5 quarters. Who has the more amount of money?

Mathematics
2 answers:
ser-zykov [4K]3 years ago
8 0

Hi,

Your Question states: If Sarah has 50 Nickles and 20 dimes and Bill has 230 pennies and 5 quarters. Who has the more amount of money?

Answer: Sarah

Explanation: Sarah amount is $2.50, because the amount of nickels is 5 cents and if you multiply 5 times 50 you answer becomes $2.50. 20 dimes and every dime is 10 multiples up to $2.00. 230 is $2.30, and 5 quarters each being 25 cents is $1.25 so your answer is Sarah with 50 nickels.

I Hope I Helped!

<em>~KingJupiter</em>

andreyandreev [35.5K]3 years ago
6 0

Sarah has more money :)

Sarah: So 50 x 5 would be 250 and 20 x 10 would be 200. Add those together you get 450 and convert that into money you would get 7.5 dollars.

Bill: 230 x 1 would be 230 and 5 x 25 would be 125. Add those together and you get 355 and convert that into money and your total is 5.91.


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Read 2 more answers
The bad debt ratio for a financial institution is defined to be the dollar values of loans defaulted divided by the total dollar
Nimfa-mama [501]

Answer:

(a) NULL HYPOTHESIS, H_0 : \mu \leq  3.5%

    ALTERNATE HYPOTHESIS, H_1 : \mu > 3.5%

(b) We conclude that the the mean bad debt ratio for Ohio banks is higher than the mean for all federally insured banks.

Step-by-step explanation:

We are given that a random sample of seven Ohio banks is selected.The bad debt ratios for these banks are 7, 4, 6, 7, 5, 4, and 9%.The mean bad debt ratio for all federally insured banks is 3.5%.

We have to test the claim of Federal banking officials that the mean bad debt ratio for Ohio banks is higher than the mean for all federally insured banks.

(a) Let, NULL HYPOTHESIS, H_0 : \mu \leq  3.5% {means that the the mean bad debt ratio for Ohio banks is less than or equal to the mean for all federally insured banks}

ALTERNATE HYPOTHESIS, H_1 : \mu > 3.5% {means that the the mean bad debt ratio for Ohio banks is higher than the mean for all federally insured banks}

The test statistics that will be used here is One-sample t-test;

                T.S. = \frac{\bar X - \mu}{\frac{s}{\sqrt{n} } } ~ t_n_-_1

where,  \bar X = sample mean debt ratio of Ohio banks = 6%

             s = sample standard deviation = \sqrt{\frac{\sum (X-\bar X)^{2} }{n-1} } = 1.83%

             n = sample of banks = 7

So, test statistics = \frac{6-3.5}{\frac{1.83}{\sqrt{7} } }  ~ t_6

                             = 3.614

(b) Now, at 1% significance level t table gives critical value of 3.143. Since our test statistics is more than the critical value of t so we have sufficient evidence to reject null hypothesis as it will fall in the rejection region.

Therefore, we conclude that the the mean bad debt ratio for Ohio banks is higher than the mean for all federally insured banks.

Hence, Federal banking officials claim was correct.

7 0
3 years ago
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