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3 years ago

The ratio of the lengths of corresponding parts in two similar solids is 5:1,

2 answers:

7 0

The ratio of the surface areas of two similar solids can be computed by squaring the given ratio of the corresponding sides. For this given,
r = (5:1)^1
r = 25:1

Thus, the ratio of the surface areas of the similar solids is 25:1.

Natali5045456 [20]3 years ago

5 0

25:1 on apex

Step-by-step explanation:

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Does the equation represent a direct variation? If so, find the constant of variation. 2x - 4y = 0 Question 1 options: yes; k =

riadik2000 [5.3K]

Just gonna give you the answer:

The constant variation is 1/2

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3 years ago

Why would you need inequalities?

77julia77 [94]

Answer:

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Step-by-step explanation:

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3 years ago

Jimmy, Joe and sally are racing their cars. Jimmy and Joe have completed the same number of laps- six fewer laps than Sally. If

shusha [124]

X = the number of laps Joe has ran.
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3 years ago

Does circumference divided by ratio equal to pi?

Harlamova29_29 [7]

Answer:

Yes circumference divided by ratio equals to pi

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3 years ago

Read 2 more answers

In a survey, the planning value for the population proportion is . How large a sample should be taken to provide a confidence in

tatuchka [14]

Answer:

n=350

Step-by-step explanation:

Notation and definitions

$n$ random sample taken (variable of interest)

$\hat p=0.35$ estimated proportion (value assumed)

$p$ true population proportion

Confidence =0.95 or 95% (value assumed)

Me=0.05 (value assumed)

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The population proportion have the following distribution

$p \sim N(p,\sqrt{\frac{\hat p(1-\hat p)}{n}})$

In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 95% of confidence, our significance level would be given by $\alpha=1-0.95=0.05$ and $\alpha/2 =0.025$ . And the critical value would be given by: