Hellohello, if you able to help me then please do. (:

At a sale, coats were sold for $104 each. If the coats originally cost $160 each, what

Anvisha [2.4K]

Answer: I think it's 35%

With original price $160 and 35% discount,

Price after discount: $104.00

You saved: $56.00

The term discount can be used to refer to many forms of reduction in the price of a good or service. The two most common types of discounts are discounts in which you get a percent off, or a fixed amount off.

A percent off of a price typically refers to getting some percent, say 10%, off of the original price of the product or service. For example, if a good costs $45, with a 10% discount, the final price would be calculated by subtracting 10% of $45, from $45, or equivalently, calculating 90% of $45:

10% of $45 = 0.10 × 45 = $4.50

$45 – $4.50 = $40.50

or

90% of $45 = 0.90 × 45 = $40.50

In this example, you are saving 10%, or $4.50.

Step-by-step explanation:

hope this helps, sorry if I'm wrong.

4 0

1 year ago

Mike prepares 10

Andrews [41]

If my thinking is correct, and the numbers:

12

1

2

12

1

2

and

34

3

4

34

3

4

don't mean anything, then the answer would be 8 cups

5 0

2 years ago

Read 2 more answers

Suppose that, in the past, 40% of all adults favored capital punishment. Do we have reason to believe that the proportion of adu

Alex_Xolod [135]

Answer:

The p-value of the test is 0.1469 > 0.05, which means that there is no reason to believe that the proportion of adults favoring capital punishment today has increased, using a 0.05 level of significance.

Step-by-step explanation:

Suppose that, in the past, 40% of all adults favored capital punishment. Test if the proportion has increased:

At the null hypothesis, we test if the proportion is still of 40%, that is:

$H_0: p = 0.4$

At the alternative hypothesis, we test if the proportion has increased, that is, is greater than 40%, so:

$H_1: p > 0.4$

The test statistic is:

$z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}$

In which X is the sample mean, $\mu$ is the value tested at the null hypothesis, $\sigma$ is the standard deviation and n is the size of the sample.

0.4 is tested at the null hypothesis:

This means that $\mu = 0.4, \sigma = \sqrt{0.4*0.6}$

Random sample of 15 adults, 8 favor capital punishment.

This means that $n = 15, X = \frac{8}{15} = 0.5333$

Value of the test statistic:

$z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}$

$z = \frac{0.5333 - 0.4}{\frac{\sqrt{0.4*0.6}}{\sqrt{15}}}$

$z = 1.05$

P-value of the test and decision:

The p-value of the test is the probability of finding a sample proportion of 0.5333 or more, which is 1 subtracted by the p-value of z = 1.05.

Looking at the z-table, z = 1.05 has a p-value of 0.8531.

1 - 0.8531 = 0.1469.

The p-value of the test is 0.1469 > 0.05, which means that there is no reason to believe that the proportion of adults favoring capital punishment today has increased, using a 0.05 level of significance.

3 0

2 years ago

mark and his three friends ate out at applebees their bill totaled $52.35 if they left the server a 20% tip how much would each

Katena32 [7]

Each person will pay 15.70

3 0

3 years ago

Read 2 more answers

How do I work this out?

tia_tia [17]

Answer:

Option 2, 3(5y-11) - 2