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gregori [183]
3 years ago
8

Which of the following equations describe the line shown below? Check all that apply. (THERE IS MORE THAN ONE ANSWER)

Mathematics
1 answer:
inn [45]3 years ago
4 0


B, F, C. Are the closest I see. How many can you click?


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((6x-8)-2x)-((12x-7)-(4x-5))
KengaRu [80]

Answer:

-12x + 4

Step-by-step explanation:

(6x - 8 - 2x) - (12x - 7) - (4x - 5)

The subtraction sign before the parenthesis is basically multiplying by -1, so the subtraction signs in the parenthesis have to change to addition. After that, you can remove the parenthesis.

6x - 8 - 2x - 12x + 7 - 4x + 5

Simplified = -12x + 4

6 0
2 years ago
Monique worked for 4 hours and earned $39.79. How much would she earn if she worked for 6 hours? I HELP WITH IT RNN​
loris [4]

Answer:

x=$59.69

Step-by-step explanation:

We can create a proportion to find the answer.

Thus, we get 4 hr/$39.79=6 hr/$x.

Cross multiplying gives us 4x=238.74, and solving for x gives us $59.685.

We can round to $59.69.

5 0
3 years ago
There are 30 students in a class. Five of them are randomly selected to form the dance committee. How many different committees
ziro4ka [17]

Answer: 6

Step-by-step explanation:

7 0
3 years ago
Read 2 more answers
What was not a major goal of the constitution?<br> Please help. Tysm!
Jet001 [13]
Yooo 1v1 and fortnite
5 0
3 years ago
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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