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3 years ago

Margot’s dad has 7 striped ties and 21 solid ties.What is the ratio of striped ties to solid ties?

2 answers:

8 0

If you have 7 striped ties and 21 solid ties and they're asking for the ratio of striped to solid, then you would write it as

7:21

And if you want it simplified, you would divide 7 by 7 and 21 by 7. So,

7/7= 1

21/7= 3

The answer is 1:3

BartSMP [9]3 years ago

6 0

The ratio of striped ties to solid ties is 1:3

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The diameter of a truck wheel is 56.5 inches. What is the circumference of the wheel?

Ad libitum [116K]

Answer: 177.4999849 , or 56.5pi

Step-by-step explanation:

You simply divide the diameter by 2 to get the radius (28.25) and then plug into the circumference equation, 2*pi*r = Circumfrence.

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3 years ago

Read 2 more answers

14=h/5 Help me please

ValentinkaMS [17]

Answer:

14=h/5

h=14*5

h=70

Check:

70/5=14

Hope this helps

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3 years ago

Solve 2(2x + 1) = 3(x - 4)

k0ka [10]

Step-by-step explanation:

2(2x + 1) = 3(x - 4)

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2 years ago

It appears that people who are mildly obese are less active than leaner people. One study looked at the average number of minute

Molodets [167]

Answer:

10.38% probability that the mean number of minutes of daily activity of the 6 mildly obese people exceeds 410 minutes.

99.55% probability that the mean number of minutes of daily activity of the 6 lean people exceeds 410 minutes

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a random variable X, with mean $\mu$ and standard deviation $\sigma$ , a large sample size can be approximated to a normal distribution with mean $\mu$ and standard deviation $\frac{\sigma}{\sqrt{n}}$ .

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Mildly obese

Normally distributed with mean 375 minutes and standard deviation 68 minutes. So $\mu = 375, \sigma = 68$

What is the probability (±0.0001) that the mean number of minutes of daily activity of the 6 mildly obese people exceeds 410 minutes?

So $n = 6, s = \frac{68}{\sqrt{6}} = 27.76$

This probability is 1 subtracted by the pvalue of Z when X = 410.

$Z = \frac{X - \mu}{s}$

$Z = \frac{410 - 375}{27.76}$

$Z = 1.26$

$Z = 1.26$ has a pvalue of 0.8962.

So there is a 1-0.8962 = 0.1038 = 10.38% probability that the mean number of minutes of daily activity of the 6 mildly obese people exceeds 410 minutes.

Lean

Normally distributed with mean 522 minutes and standard deviation 106 minutes. So $\mu = 522, \sigma = 106$