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ArbitrLikvidat [17]
3 years ago
6

Jennifer paid $13.37 for a pack of 12 pairs of sport socks. What was the price of a pair of sport socks

Mathematics
1 answer:
alukav5142 [94]3 years ago
6 0

Answer:

Each pair of socks cost around $1.11 excluding taxes.

Step-by-step explanation:

To find how much it costs for one pair of socks, divide the cost with how many pairs there are.  

13.37/12 = 1.11426...

Since we are determining the cost of each pair of socks, it's only justifiable if we round it to the nearest hundredths.

Therefore, a pair of socks cost around $1.11 excluding taxes.  

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Anuta_ua [19.1K]

Answer:

27.58 meters per second.

Step-by-step explanation:

divide 400 by 14.5

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3 years ago
A flag is 2 feet by 3 feet. I want to enlarge the flag so that the longest side is 15 feet. How long should the shorter side of
kondor19780726 [428]

Answer:

10 feet

Step-by-step explanation:

Given

Dimension = 2 feet by 3 feet

Required

Determine the length of the short side if the longer side is scaled to 15 feet

Represent the before and after enlargement as a ratio:

Before Enlargement

Ratio = 2 ft : 3ft

After Enlargement

Ratio = x : 15 ft

Where x represents the length of the shorter side

Since they're both proportional, their ratio must be equal.

So, we have:

2 : 3 = x : 15

Convert ratio to fraction

⅔ = x/15

Multiply both sides by 15

15 * ⅔ = 15 * x/15

15 * ⅔ = x

30/3 = x

10 = x

x = 10

Hence, the length of the shorter side must be 10 feet

4 0
3 years ago
The time that a randomly selected individual waits for an elevator in an office building has a uniform distribution over the int
Elanso [62]

Answer:

The mean of the sampling distribution of x is 0.5 and the standard deviation is 0.083.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For the population, we have that:

Mean = 0.5

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By the Central Limit Theorem

Mean = 0.5

Standard deviation s = \frac{0.289}{\sqrt{12}} = 0.083

The mean of the sampling distribution of x is 0.5 and the standard deviation is 0.083.

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3 years ago
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Answer:

24

Step-by-step explanation:

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3 years ago
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3 years ago
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