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valina [46]
3 years ago
9

What is the Quick Ratio given the following information? Current Assets = $477.50 Inventory = $275 Current Liabilities = $1075

Mathematics
1 answer:
cluponka [151]3 years ago
5 0

Answer:

<u>Quick Ratio = 0.19. A quick ratio of 0.19 means that this company might not be able to fully pay off its current liabilities in the short term.</u>

Step-by-step explanation:

1. For solving this question, we need to use the Quick ratio formula, this way:

Quick Ratio = (Current Assets - Inventory - Prepaid Expenses) / Current Liabilities

2. Let's replace the formula with the real values:

Quick Ratio = (477.50 - 275 - 0)/ 1,075 (Prepaid Expenses = 0)

Quick Ratio = 202.50 / 1,075

Quick Ratio = 0.1884

<u>Quick Ratio = 0.19 (Rounding to two decimal places)</u>

3. Interpretation

A quick ratio below 1 means that the company might not be able to fully pay off its current liabilities in the short term, in this case it's 0.19 for this company.  A quick ratio of 1 is considered to be the normal, as it indicates that the company is able to pay off its current liabilities with exactly enough assets to be immediately liquidated.

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4 0
4 years ago
Read 2 more answers
Please help answer the question below.
Agata [3.3K]
The upper quartile for two sets of data are the same
4 0
4 years ago
A manager is comparing wait times for customers in a coffee shop based on which employee is
anyanavicka [17]

Using the t-distribution, as we have the standard deviation for the sample, it is found that there is a significant difference between the wait times for the two populations.

<h3>What are the hypothesis tested?</h3>

At the null hypothesis, we test if there is no difference, that is:

H_0: \mu_A - \mu_B = 0

At the alternative hypothesis, it is tested if there is difference, that is:

H_1: \mu_A - \mu_B = 0

<h3>What are the mean and the standard error of the distribution of differences?</h3>

For each sample, we have that:

\mu_A = 73, s_A = \frac{2}{\sqrt{100}} = 0.2

\mu_B = 74, s_B = \frac{4}{\sqrt{100}} = 0.4

For the distribution of differences, we have that:

\overline{x} = \mu_A - \mu_B = 73 - 74 = -1

s = \sqrt{s_A^2 + s_B^2} = \sqrt{0.2^2 + 0.4^2} = 0.447

<h3>What is the test statistic?</h3>

It is given by:

t = \frac{\overline{x} - \mu}{s}

In which \mu = 0 is the value tested at the null hypothesis.

Hence:

t = \frac{\overline{x} - \mu}{s}

t = \frac{-1 - 0}{0.447}

t = -2.24

<h3>What is the p-value and the decision?</h3>

Considering a one-tailed test, as stated in the exercise, with 100 - 1 = 99 df, using a t-distribution calculator, the p-value is of 0.014.

Since the p-value is less than the significance level of 0.05, it is found that there is a significant difference between the wait times for the two populations.

More can be learned about the t-distribution at brainly.com/question/16313918

8 0
2 years ago
Arrange the following terms into appropriate categories? <br>Please help me​
Lady_Fox [76]

Answer:

Real:

  • 23
  • 1/3
  • cube root of -27
  • sq root of 8
  • cube root of 64
  • 5.6
  • 80%
  • -3/7
  • 0

Imaginary:

  • sq root of -4
  • -5i
  • 17i
  • 2/5i

Complex:

  • -5.7 - 4i
  • 2/5 - 5/8i
  • 2 + 3i
  • -1.5 + 17i

Step-by-step explanation:

A real number is a number that exists in real life.

An imaginary number is a number that doesn't exist, hence it has the letter i in it.

A complex number consists of a real number and an imaginary number.

If you would like more help in math or other subjects for FREE, check out growthinyouth.org.

4 0
3 years ago
the population of a city grows 7% each year. if it’s current population is 450,000, in how many years will the city’s popular ge
timofeeve [1]

It will take approximately 17 1/2 years for the city to reach a population of 1,000,000.

Step by Step Explanation:

7% of 450,000 is 31,500

450,000 to 1,000,000 means you need another 550,000 people in your population.

So take 550,000 divided by 31,500, which equals 17.46, which then rounds up to 17.5 years.

17.5 x 31,500= 551,250

That is how long it will take to reach 1,000,000 population count when the population only increases 7% each year.

3 0
3 years ago
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